November 2018

This monthly newsletter has been created to  assist FAS researchers across all domains who are looking for funding opportunities related to "Big Data". In response to the need for new conceptual and computational approaches for big data processing and storage, as well as the need for educational opportunities in this area for up and coming researchers, sponsors like NSF, DOD, DOE, NIH and private foundations are offering a growing number of funding opportunities for Big Data research and training programs.

This newsletter will be sent electronically each month. To receive this and other funding opportunity newsletters, please sign up here . All opportunities will be archived and recipients may unsubscribe at any time. In addition, you may access the Science Division Funding Spotlight here
News and Resources
Amazon Web Services (AWS) has joined  the National Institutes of Health's Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative . Launched in July 2018, the STRIDES Initiative aims to harness the power of commercial cloud computing for NIH biomedical researchers. Initially, NIH's efforts will focus on making high-value data sets more accessible to researchers and experimenting with new ways to optimize technology-intensive research. 

DARPA will host an Artificial Intelligence Colloquium (AIC) on March 6-7, 2019 in Alexandria, VA, to inform the public of the range of DARPA research programs focused on advancing the state of the art in Artificial Intelligence (AI), as part of DARPA's AI Next effort. DARPA will also provide opportunities at the Colloquium for sidebar meetings between selected AIC attendees and DARPA program managers to discuss mutual research interests.

NSF's Directorate for Computer & Information Science & Engineering invites principal investigators to submit proposals to its core programs that contribute to discovery in research and practice related to fairness, ethics, accountability, and transparency (FEAT) in computer and information science and engineering.

The Harvard Data Science Initiative is currently accepting proposals for Postdoctoral Fellowships (deadline: December 4, 2018) and Postdoctoral Fellows Research Funds (deadline: November 29, 2018). 

Funding Opportunities for Big Data

Indicates a funding announcement that was updated or added to the newsletter this month.  
Social Science
 (Computer) Science and Engineering
Biomedical Science
Education and Training

Social Science
ASANSFFedStatFellowships
National Science Foundation (NSF)
ASA/NSF Federal Statistics Fellowship Programs
Sponsor Deadlines: Vary by program
OSP Deadline: Review not required for Fellowship applications
Award Information: Stipends are commensurate with the researchers' qualifications and experience. Fringe benefits and travel allowances are negotiable. Fellowships are available for up to 1 year.

The ASA/NSF Federal Statistics Fellowship program is jointly supported by the National Science Foundation, U.S. Census Bureau, Bureau of Economic Analysis, and the Bureau of Labor Statistics. The general objective of the program is to foster collaborative and interdisciplinary research efforts that will continue to stimulate the development and advancement of methodology and social science research relevant to issues on which federal statistical agencies seek to provide information. The program accomplishes this by bringing academic researchers to work with statisticians and social scientists in the three participating federal agencies for up to one year. Extensions to appointments, fellowships split into two terms, and part-time fellowships are also possible.
DataandSocietyFacultyFellows
Faculty Fellows
Sponsor Deadline: December 17, 2018
OSP Deadline: Review not required for Fellowship applications
Award Information: Fellows receive a stipend of $25,000 and may request up to $5,000 to support project costs. Most Fellowships are for the academic year, though a shorter term may be possible.

Data & Society is seeking two to three Faculty Fellows whose research projects will advance its mission and complement its  work  by:
Data and Society invites applications from faculty of any rank and discipline who are at least two years beyond receipt of their Ph.D. by the start of the fellowship. It is  looking for Faculty Fellows who come from any discipline. Successful applicants should have a track record of engaging in research at the intersection of technology and society and should be committed to working in highly interdisciplinary environments. Fellows commit to being in residence at the Data & Society loft in New York City for two days each week, although many Faculty Fellows benefit from deeper engagement. Each fellow, over the course of their fellowship, will pursue a project or set of activities of their own design.
DoDARIFY2018to2023
Army Research Institute for the Behavioral and Social Sciences
Army Research Institute for the Behavioral and Social Sciences Broad Agency Announcement for Basic, Applied, and Advanced Research (Fiscal Years 2018-2023)
Sponsor Deadline: Rolling through April 29, 2023
OSP Deadline: 5 business days prior to submission
Award Information: Research grants and conference grants are available. 

The ARI is the Army's lead agency for the conduct of research, development, and analyses for the improvement of Army readiness and performance via research advances and applications of the behavioral and social sciences that address personnel, organization, and Soldier and leader development issues. Programs funded under this BAA include basic research, applied research, and advanced technology development that can improve human performance and Army readiness.

Applied Research and Advanced Technology Development areas of interest include Statistical Innovations in Talent Management. Related to big data, ARI is interested in receiving proposals to Improve Talent Management through Data Science. Proposals should address applications of Big Data analytics, predictive modeling, or new computational methods to support talent management and personnel management. Examples include testing and assessment, counter-productive work behaviors, recruitment, retention, career development, promotions, improving person-job fit, enhancing readiness and resilience, and decision-support systems for leaders.
GoogleAIImpactChallenge
AI Impact Challenge
Sponsor Deadline: January 22, 2019
OSP Deadline: January 14, 2019
Award Information: Grants are expected to range from $500,000 to $2M for 12-26 months, but will ultimately be sized based on project needs. 15% overhead must be included in budgets submitted from FAS and SEAS.

The Google AI Impact Challenge is an open call to nonprofits, social enterprises, and research institutions around the world to submit their ideas to use AI to help address social and environmental challenges. Google.org is looking for projects across a range of social impact domains and levels of technical expertise, from organizations that are experienced in AI to those with an idea for how they could be putting their data to better use. Selected organizations will receive education and coaching from Google's AI experts, access to computing resources, and Google.org grant funding from a $25M pool. Grantees will also join a specialized  Launchpad Accelerator program, and will receive tailored additional support for each project's needs in collaboration with data science nonprofit DataKind.
NSFDCLAIandSocietyEAGERs
Dear Colleague Letter: EArly-concept Grants for Exploratory Research on Artificial Intelligence (AI) and Society - Supported Jointly with the Partnership on AI
Sponsor Deadline for Prospectuses (required): January 9, 2019
Sponsor Deadline for Full Proposals (if invited): January 28, 2019, though earlier submissions are encouraged
OSP Deadline: 5 business days prior to submission
Award Information:  Up to $300,000 for up to 2 years. Approximately 15 awards are anticipated.

NSF's Directorates for Computer and Information Science and Engineering (CISE) and Social, Behavioral and Economic Sciences (SBE) together with the  Partnership on AI (PAI) wish to notify the community of their interest in supporting EArly-concept Grants for Exploratory Research (EAGERs) to understand the social challenges arising from AI technology and enable scientific contributions to overcome them. NSF and PAI will jointly support high-risk, high-reward research at the intersection of the social and technical dimensions of AI. Priority will be given to collaborative projects that integrate computer/computational science with the social, behavioral, and economic sciences. Proposals may expand understanding of the influences of AI on people and society or contribute technical innovations that overcome the emerging social challenges.

An individual may appear as principal investigator (PI), co-PI, Senior Personnel, or Consultant on no more than one EAGER proposal submitted in response to this DCL. Prior to submitting an EAGER proposal, PIs must first send a one-page prospectus to NSF for approval.
NSFMMS
Directorate for Social, Behavioral and Economic Sciences (SBE)
Methodology, Measurement, and Statistics (MMS)
Sponsor Deadlines: January 31, 2019; August 29, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Approximately $3.76M will be awarded annually to support 15-35 awards. Additional funds may be available from participating federal statistical agencies for competitive research proposals of interest to those agencies. 

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economic sciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics. This solicitation provides support through a number of different funding mechanisms, including standard  research awards; a wards for conferences and community-development activities;  Doctoral Dissertation Research Improvement (DDRI) Grants; and  Research Experience for Undergraduates (REU) Supplements.  MMS also supports Faculty Early Career Development (CAREER) awards. 
NSFRIDIR2018
Directorate for Social, Behavioral and Economic Sciences (SBE)
Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR)
Sponsor Deadline: February 25, 2019
OSP Deadline: February 15, 2019
Award Information: Total maximum amount for all awards per year: $4.5M. 3-4 awards are anticipated per year.

As part of NSF's Harnessing the Data Revolution (HDR), the Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences.
NSFSTS
Directorate for Social, Behavioral and Economic Sciences (SBE)
Science, Technology and Society (STS)
Sponsor Deadlines: February 4, 2019; August 5, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Standard research grants up to $400,000 over 2-3 years are available; STS also offers Conference and Workshop grants up to $25,000.

The Science, Technology, and Society (STS) program supports research that uses historical, philosophical, and social scientific methods to investigate the intellectual, material, and social facets of the scientific, technological, engineering and mathematical (STEM) disciplines. It encompasses a broad spectrum of STS topics including interdisciplinary studies of ethics, equity, governance, and policy issues that are closely related to STEM disciplines, including medical science. 

Areas of particular interest to STS include ethical, policy, and cultural issues related to big data, surveillance and privacy in an increasingly networked world.
RSFCompSS
Computational Social Science
Sponsor Deadline for Letters of Inquiry (required): November 30, 2018
Sponsor Deadline for Full Proposals (if invited): March 4, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Project awards up to $150,000 for up to 2 years are available, including 15% overhead. RSF also offers President's awards  with a maximum budget of $35,000 ($50,000 if new data collection/access costs are included). Overhead is not allowed on President's awards. Since this amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.

The Russell Sage Foundation's initiative on Computational Social Science (CSS) supports innovative social science research that brings new data and methods to bear on questions of interest in its core programs in Behavioral Economics, Future of Work, Race, Ethnicity and Immigration, and Social Inequality. Limited consideration will be given to questions that pertain to core methodologies, such as causal inference and innovations in data collection. Funding is available for secondary analysis of data or for original data collection. RSF is especially interested in novel uses of new or under-utilized data and new methods for analyzing these data. Smaller projects might consist of a pilot study to demonstrate proof-of-concept. RSF encourages methodological variety and inter-disciplinary collaboration. Proposed projects must have well-developed conceptual frameworks and research designs. Analytical models must be specified and research questions and hypotheses (where applicable) must be clearly stated.
SageOcean
Concept Grants
Sponsor Deadline: February 15, 2019
OSP Deadline: February 8, 2019
Award Information: Up to $35,000  (or £25,000)

SAGE's Concept Grants program has been developed as part of the  SAGE Ocean initiative to fund innovative software ideas that support social science researchers to work with big data and new technologies. SAGE Ocean is seeking innovative proposals for software solutions that will tackle some of the challenges currently facing social scientists and enable more researchers to engage with computational methods and big data research.

Through the Concept Grants program, SAGE is looking to support early stage software ideas, particularly those that include a plan for sustainability and/or that have future commercial potential within the academic market. It will look favorably on ideas that have wide-scale applicability within the social sciences and that will help further SAGE Ocean's mission to equip social scientists with the skills, tools, and resources to work with big data and new technology. 
SSRCSocMediaDemocracy
Social Media and Democracy Research Grants
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission
Award Information: Grantees will receive r esearch funding up to $50,000 via the SSRC, access to Facebook data via  Social Science One, and peer pre-review services from Social Science One. The first dataset is a database of Facebook URL shares; details about these data, including the codebook, can be found at the Social Science One Dataverse repository. Awards provide support for up to 12 months.

Proposals for the Social Media and Democracy Research Grants should examine the impact of social media and related digital technologies on democracy and elections, generate insights to inform policy at the intersection of media, technology, and democracy, and advance new avenues for future research. This initiative seeks to study these processes in an independent, transparent, and ethical way according to the highest standards of data privacy and academic research, to improve the lives of all. Applicants must demonstrate the technical and methodological skill base to effectively work with large, complex data sets and a commitment to data privacy.
Sponsor Deadline for Letters of Inquiry (required):  January 31, 2019
Sponsor Deadline for Full Proposals (if invited): April 30, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Academic grants are typically in the $25,000-$100,000 range over 1-3 years. Overhead is not allowed on these awards. Since this amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.

The Washington Center for Equitable Growth seeks to deepen our understanding of whether and how inequality affects economic growth and stability. Its academic grants program is building a portfolio of cutting-edge scholarly research investigating the various channels through which economic inequality may or may not impact economic growth and stability, both directly and indirectly. 

Equitable Growth supports inquiry utilizing many different kinds of evidence, relying on a variety of methodological approaches and cutting across academic disciplines. It is especially interested in projects using data linking individuals, households, and/or firms, and those that utilize geocoded data or rigorous comparative case studies - including across places in the United States, as well as comparing the experience of different countries - that allow for insight into the role of place in shaping economic opportunities and outcomes. The Center invites proposals in a number of specific areas, including those that address the question: "How have technological developments such as internet platforms, artificial intelligence, big data, and sophisticated algorithms affected competition?"
(Computer) Science & Engineering
CiscoIoThings
Secure and Private Internet of Things
Sponsor Deadline: Rolling 
OSP Deadline: 5 business days prior to submission
Award Information:  Budgets depend on the institution and geography. 5% is allowed for overhead.  This amount falls short of the 15% overhead required by FAS/SEAS policy. Please discuss with your grants administrator before preparing an application.

Connected Internet of Things (IoT) devices provide many new opportunities and benefits for manufacturers and consumers. The ubiquitous nature of IoT connectivity enables new use cases in connected manufacturing, connected cars, connected spaces, smart cities and other market verticals.  However, the security of IoT has not kept pace with the fast innovation and deployment of solutions creating significant safety and economic risks. The growing number of IoT devices, systems, and services increases the attack surface making the solutions more vulnerable to cyber-attacks. Recent Distributed Denial of Service (DDoS) attacks against Internet service providers and commercial entities were carried out by a diverse network of botnets made up of compromised set-top devices and other consumer products. Therefore, assuring the security of each component within an IoT solution is crucial in keeping malicious actors from using it in an unauthorized manner.  In addition, IoT devices enable massive data collection and analysis. The analysis of this data will allow previously unknown relationships between things to be discovered which causes a big concern for the privacy of individuals, businesses (including IP protection), groups, and governments. Since the analysis of data is essential for the value of IoT, strong consideration must be given to data privacy and data protection throughout its lifecycle.
DOCNIST
United States Department of Commerce (DOC)
National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE) Research Grant Program for the Information Technology Laboratory (ITL) 
Sponsor Deadline: Rolling 
OSP Deadline: 5 business days prior to submission
Award Information: $10,000-$500,000 per year, with project periods of up to 5 years. In FY17, the ITL Grant Program funded 23 new awards totaling $3.6M.
 
The ITL Grant Program provides financial assistance to support the conduct of research or a recipient's portion of collaborative research in the broad areas of Advanced Network Technologies, Big Data, Biometrics, Cloud Computing, Cyber-Physical Systems, Forensic Science, Information Access, Information Processing and Understanding, Cybersecurity, Health Information Technology, Human Factors and Usability, Applied and Computational Mathematics, Mathematical Foundations of Measurement Science for Information Systems, Metrology Infrastructure for Modeling and Simulation, Privacy Engineering, Software Testing, Statistics for Metrology and Statistical Methods in Forensic Science. See http://www.nist.gov/itl/ for more information about ITL. Proposals on product development and commercialization are not considered responsive to this funding opportunity. Financial support may be provided for conferences, workshops, or other technical research meetings that are relevant to the mission of ITL.
DODASFOR
United States Department of Defense (DoD)
Air Force Office of Scientific Research (AFOSR)
Research Interests of the Air Force Office of Scientific Research Broad Agency Announcements: Research Grants and Conference & Workshop Support
Sponsor Deadline: Rolling (current BAAs are active until superseded)
OSP Deadline: 5 business days prior to submission 
Award Information: Research proposals budgeting between $200,000 and $400,000 per year are encouraged. Most awards are 3 years in duration, and may not exceed 5 years. Conference and workshop grants up to $100,000 are also available. AFOSR commits the bulk of its funding by the fall of each year.

AFOSR's focus is on research areas that offer significant and comprehensive benefits to our national warfighting and peacekeeping capabilities. These areas are organized and managed in two scientific Branches: Engineering and Information Sciences (RTA), and Physical and Biological Sciences (RTB). Of interest to the Big Data community, the Information and Networks Team within the Engineering and Information Science Branch is organized to support many U.S. Air Force priority areas including autonomy, space situational awareness, and cyber security. The research programs within this team lead the discovery and development of foundational issues in mathematical, information and network oriented sciences. They are organized along three themes: Information, Decision Making, and Networks. The information theme addresses the critical challenges faced by the U.S. Air Force which lie at the intersection of the ability to collect, mathematically analyze, and disseminate large quantities of information in a time critical fashion with assurances of operation and security. Closely aligned with the mathematical analysis of information is the need for autonomous decision making. Research in this theme focuses on the discovery of mathematical laws, foundational scientific principles, and new, reliable and robust algorithms, which underlie intelligent, mixed human-machine decision-making to achieve accurate real-time projection of expertise and knowledge into and out of the battle space. Information analysis and decision making rarely occur in the context of a single source. The networks theme addresses critical issues involving how the organization and interaction among large collections of information providers and consumers contributes to an understanding of the dynamics of complex information systems.

In addition, AFOSR invites proposals for other innovative research concepts in the following thrust areas: Fundamental Dynamics of Scientific Discovery; Artificial Intelligence (AI), Games, and Optimal Design; Constructive Mathematics; and Novel Approaches to Theoretical Quantum Information Science.

In addition to research grants, AFOSR also provides partial support for conferences and workshops in areas of science that bring experts together to discuss recent research or educational findings, or to expose other researchers or advanced graduate students to new research and educational techniques in its areas of research interest. Proposals must be submitted at least 6 months prior to the conference or workshop start date to be considered.
DoDARLBAA2017to2022
Army Research Laboratory (ARL)
Broad Agency Announcement for Basic and Applied Scientific Research for Fiscal Years 2017 through 2022
Sponsor Deadline: Rolling (current BAA is active until March 31, 2022 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: There are no specific funding restrictions associated with this BAA (e.g. direct costs, indirect costs, etc.). 

The U.S. Army Research Laboratory (ARL) is the Department of the Army's corporate laboratory and sole fundamental research laboratory. The ARL BAA identifies topics of interest to the ARL Directorates (Computational and Information Sciences Directorate, Human Research and Engineering Directorate, Sensors and Electron Devices Directorate, Survivability/Lethality Analysis Directorate, Vehicle and Technology Directorate, and Weapons and Materials Research Directorate). The Directorates focus on executing in-house research programs, with a significant emphasis on collaborative research with other organizations in an Open Campus setting. The Directorates fund a modest amount of extramural research in certain specific areas, and those areas are described in this BAA.

The ARL BAA seeks proposals from institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e. large and small businesses) for research based on the following S&T campaigns: Computational Sciences, Materials Research, Sciences for Maneuver, Information Sciences, Sciences for Lethality and Protection, Human Sciences, and Assessment and Analysis. Please see the BAA for a more detailed description of these topic areas. Proposals are sought for cutting-edge innovative research that could produce discoveries with a significant impact to enable new and improved Army technologies and related operational capabilities and related technologies. The specific research areas and topics of interest should be viewed as suggestive, rather than limiting. 
DoDAROBAA2017to2022
Army Research Office (ARO)
Broad Agency Announcement (BAA) for Fundamental Research for Fiscal Years 2017 through 2022
Sponsor Deadline: Rolling (current BAA is active until March 31, 2022 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: There are no specific funding restrictions associated with this BAA (e.g. direct costs, indirect costs, etc.). ARO prefers proposals to cover a 3-year period. 

The purpose of this BAA is to solicit research proposals in the engineering, physical, life, and information sciences for submission to the Army Research Office (ARO) for consideration for possible funding. ARO is focused exclusively on extramural basic research, and is responsible for the vast majority of ARL's extramural research programs and funding.

Proposals are sought from institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e. large and small businesses) for scientific research in mechanical sciences, mathematical sciences, electronics, computing science, physics, chemistry, life sciences, materials science, network science, and environmental sciences.

In addition to standard research grants, the following funding mechanisms are also available: 
  1. Short-Term Innovative Research (STIR) Program: Grants of $60k or less to support rapid, short-term investigations to assess the merit of innovative new concepts in basic research. 
  2. Young Investigator Program: To attract outstanding young university faculty members to pursue fundamental research in areas relevant to the Army. This program is open to U.S. citizens, U.S. Nationals, and Permanent Resident Aliens holding tenure-track positions at U.S. institutions of higher education, who have held their graduate degrees (Ph.D. or equivalent) for fewer than five years at the time of application. Proposals may be submitted at any time. YIP awards will not exceed $120,000 per year for three years. 
  3. Research Instrumentation: To improve the capabilities of U.S. institutions of higher education to conduct research and educate scientists and engineers in areas important to national defense. Of the funds available to support ARO mission research described in this BAA, funds may be provided to purchase instrumentation in support of this research or in the development of new research capabilities.
  4. Conference and Symposia Grants: In areas of science that bring experts together to discuss recent research or educational findings or to expose other researchers or advanced graduate students to new research and educational techniques.
  5. High School Apprenticeship Program (HSAP)/Undergraduate Research Apprenticeship Program (URAP): The HSAP funds the Science, Technology, Engineering, and Mathematics (STEM) apprenticeship of promising high school juniors and seniors to work in a university structured research environment under the direction of ARO sponsored PIs serving as mentors. The URAP provides similar opportunities for undergraduate students.
DoDArmyRCO
Army Rapid Capabilities Office (RCO)
Broad Agency Announcement for the Army Rapid Capabilities Office (RCO)
Sponsor Deadline: Rolling (current BAA is active until March 23, 2023 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: Awards will range from $500,000-$2M for 3-12 months. The RCO plans to award approximately $50M under this announcement. 

This Broad Agency Announcement seeks to fulfill requirements for scientific study and experimentation directed toward advancing state-of-the-art technologies and/or increasing knowledge and understanding as a means to identify and develop robust innovative concepts, stimulate technology innovation, and exploit breakthroughs in science. The RCO executes rapid prototyping and initial equipping of capabilities, particularly in the areas of cyber, electronic warfare, survivability and positioning, navigation and timing (PNT), as well as other priority projects that will enable Soldiers to operate and win in contested environments decisively. Beyond closing current capability gaps, the Office also aims to stimulate aggressive, proactive capability development and leverage disruptive technologies to meet Army strategic objectives. 

Under its Cyber area of interest, RCO is interested in software and algorithms, hardware/software systems, artificial intelligence, or other solutions, and enabling capabilities, which are proficient in identifying threats, cleaning up, sorting and categorizing data in real time to provide reliable decision options to Army users, creating offensive cyber solutions, or other effects. The Army is particularly looking for novel solutions to collect and/or analyze vast amount of dynamic data, identify meaningful and bogus correlations, flag potential data gaps, identify false positives, remove human confirmation bias, and reduce the overall risk of creating damage by incorrect interpretations.
DARPAI2O
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I2O) Broad Agency Announcement
Sponsor Deadline for Abstracts (strongly encouraged): Rolling through July 18, 2019 
Sponsor Deadline for Full Proposals:  Rolling through August 30, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  The level of funding for individual awards made available under this BAA has not been predetermined and will depend on the quality of the proposals received and the availability of funds. Multiple awards are anticipated. 
 
The Information Innovation Office (I2O) develops game-changing information science and technology to ensure information advantage for the U.S. and its allies. To accomplish this, I2O sponsors basic and applied research in three thrust areas: Cyber, Analytics and Symbiosis. I2O may also consider submissions outside these areas if the proposal involves the development of novel software-based capabilities having promise to provide decisive information advantage for the U.S. and its allies. I2O seeks unconventional approaches that are outside the mainstream, challenge accepted assumptions, and have the potential to radically change established practice. Proposed research should investigate innovative approaches that enable revolutionary advances in science, technology, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of the art.

This BAA seeks revolutionary research ideas for topics not being addressed by ongoing I2O programs or other published solicitations. Potential proposers are highly encouraged to review the current I2O programs ( http://www.darpa.mil/about-us/offices/i2o) and solicitations ( http://www.darpa.mil/work-with-us/opportunities) to avoid proposing efforts that duplicate existing activities or that are responsive to other published I2O solicitations.
DODDARPASTO
Defense Advanced Research Projects Agency (DARPA)
Strategic Technology Office (STO) Broad Agency Announcement  
Sponsor Deadline:  Rolling (current BAA is active until December 12, 2018)
OSP Deadline: 5 business days prior to submission
Award Information: The amount of resources made available under this BAA will depend on the quality of the proposals received and the availability of funds.  Multiple awards are anticipated.
 
DARPA is seeking innovative ideas and disruptive technologies that provide the U.S. military significant capability improvement to dominate across all scales of conflict intensity. These span highly contested force-on-force conflicts to ambiguous, complex "Gray Zone" conflicts. Technologies should support conflicts that may take place in a range of environments from austere, remote locations to dense megacities. The Strategic Technology Office (STO) focus areas within these broader objectives include: Situation Understanding, Multi-Domain Maneuver, Hybrid Effects, System of Systems (SoS), Maritime Systems, System of System Enhanced Small Units (SESU), and Foundational Strategic Technologies and Systems.

Topic areas of specific interest include Planning and Control. Within this area, DARPA is seeking innovative technology to support Gray Zone operational planning. This may include technology that will let operators develop and evaluate multi-domain courses of action (COAs) that employ a wide range of physical, infrastructure, electro-magnetic, cyber, and cognitive domain effects. Of particular interest are novel concepts merging cognitive science and big data analytics to provide planners quantitative tests of their intuition.

Applicants are strongly encouraged to submit an Executive Summary and/or Abstract in advance of a full proposal.
DoDDIAMARS
Defense Intelligence Agency (DIA)
Machine-assisted Analytic Rapid-repository System (MARS) Broad Agency Announcement  
Sponsor Deadline:  December 10, 2018
OSP Deadline: December 3, 2018
Award Information: Budget requests should be commensurate with the scope of the proposed project. The efforts proposed shall be for an initial period of performance no longer than 12 months.
 
A key mission of the Defense Intelligence Agency (DIA) is providing foundational intelligence to the military and decision-makers. Foundational intelligence is the essential advantage DIA provides for a comprehensive understanding of foreign military capabilities, infrastructure and materiel in all operational domains - land, air, sea, space and cyber. Since the mid-1990s, this global foundational intelligence dataset has been housed in the Modernized Integrated Database (MIDB). Today, MIDB can no longer meet the scale of information demands of a 21st century military. The Machine-assisted Analytic Rapid-repository System (MARS) will transform the existing MIDB into a data-centric knowledge repository at a significantly larger scale and with a transactional throughput capability.
 
In response to this Technology Development phase BAA, DIA requests proposals that address one or more of the following Technical Capability Areas:
  • Technical Capability Area 1 - Intelligence Information Environment
  • Technical Capability Area 2 - Tracking and Monitoring Moving Objects
  • Technical Capability Area 3 - Data Ingestion and Exploitation
  • Technical Capability Area 4 - Data Security and Data Discovery
NGIA2018
National Geospatial-Intelligence Agency (NGA)
National Geospatial-Intelligence Agency Academic Research Program (NARP) 2018
Sponsor Deadline:  Rolling (current BAA is active until December 31, 2021)
OSP Deadline: 5 business days prior to submission
Award Information:  Varies by award type 
 
NRLBAA201819
Naval Research Laboratory (NRL)
NRL Long Range Broad Agency Announcement for Basic and Applied Research
Sponsor Deadline:  Rolling (current BAA is active until May 9, 2019)
OSP Deadline: 5 business days prior to submission
Award Information:  The funded amount and period of performance of each proposal selected for award may vary depending on the research area and the technical approach to be pursued by the offeror selected.
 
The Naval Research Laboratory (NRL) is the Navy's corporate laboratory. NRL conducts basic and applied research for the Navy in a variety of scientific and technical disciplines (click here for more information about the spectrum of science and engineering disciplines in which NRL is interested). The basic research program is driven by perceptions about future requirements of the Navy. NRL conducts most of its research program at its own facilities but also funds some related research such as anticipated by this announcement. NRL is interested in receiving proposals for Long-Range Science and Technology (S&T) Projects which offer potential for advancement and improvement of Navy and Marine Corps operations. 

NRL is organized into three research directorates ( Systems Directorate;  Materials Science and Component Technology Directorate; and  Ocean and Atmospheric Science and Technology Directorate) and the  Naval Center for Space Technology. Areas of interest relevant to big data include: Information Management and Decision Architectures; Mathematical Foundations of High Assurance Computing; Federated, Distributed Computing/Network Infrastructure; and Atmospheric Effects, Analysis and Prediction. 
DODONR
United States Department of Defense (DoD)
Office of Naval Research (ONR)
FY18 Long Range Broad Agency Announcement for Navy and Marine Corps Science and Technology
Sponsor Deadline:  Rolling (current BAA is active until December 31, 2018 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: The funded amount and period of performance of each proposal selected for award may vary depending on the research area and the technical approach to be pursued by the offeror selected. 

The Office of Naval Research (ONR) is interested in receiving proposals for Long-Range Science and Technology (S&T) Projects which offer potential for advancement and improvement of Navy and Marine Corps operations. ONR's Division of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance invests in areas of science and their applications such as data science, mathematical and computational science, computer and information sciences, quantum information sciences, cyber security, electronics, command and control and combat systems, communications, cyber operations, electronic warfare, sensing and surveillance, and precision timing and navigation. One of this Division's specific thrusts and focused research areas is mathematics, computers and information sciences. Under this area, the Division sponsors basic and applied research, and advanced technology development efforts, that address Navy and Department of Defense needs in computation, information processing, information operation, information assurance and cybersecurity, decision tools, and command and control with specific focus on enabling rapid, accurate decision making. Specific scientific and technical areas include: a) Applied and computational analysis; b) Command and control; c) Computational methods for decisionmaking; d) Cyber security and complex software systems; e) Machine learning, reasoning, and intelligence; f) Mathematical data science; g) Mathematical optimization and operations research; h) Quantum information sciences.
DOEOfficeofScienceFY17
Office of Science
FY 2018 Continuation of Solicitation for the Office of Science Financial Assistance Program
Sponsor Deadline:  Rolling (current solicitation is active until December 31, 2018 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: Awards in FY17 ranged from $2,000/year to $4M/year. It is anticipated that approximately $250M will be available for DOE Office of Science new, renewal, and supplemental grants and cooperative agreement awards under this and other, more targeted FOAs in FY18. Approximately 200-350 new awards will be funded. Awards are expected to be made for a project period of 6 months to 5 years as befitting the project, with the most common project period being 3 years in duration. 

Through this FOA, the Department of Energy (DOE)'s Office of Science (SC) announces its continuing interest in receiving grant applications for support of work in the following program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, and Nuclear Physics. 

Most relevant to big data is the Advanced Scientific Computing Research (ASCR) program. Its mission is to advance applied mathematics and computer science; deliver the most advanced computational scientific applications in partnership with disciplinary science; advance computing and networking capabilities; and develop future generations of computing hardware and software tools for science, in partnership with the research community, including U.S. industry. The strategy to accomplish this has two thrusts: developing and maintaining world-class computing and network facilities for science; and advancing research in applied mathematics, computer science and advanced networking.

The priority areas for ASCR include the following:
  1. Develop mathematical models, methods and algorithms to accurately describe and predict the behavior of complex systems involving processes that span vastly different time and/or length scales.
  2. Advance key areas of computer science that enable the design and development of extreme scale computing systems and their effective use in the path to scientific discoveries; and transform extreme scale data from experiments and simulations into scientific insight.
  3. Advance key areas of computational science and discovery that support the missions of the Office of Science through mutually beneficial partnerships.
  4. Develop and deliver forefront computational, networking and collaboration tools and facilities that enable scientists worldwide to work together to extend the frontiers of science.
MLSCBitstoBytes
Bits to Bytes Capital Call
Sponsor Deadline: February 15, 2019 
OSP Deadline: February 8, 2019
Award Information : Each award is anticipated to be ~$750,000 for a 3-4 year project. Up to $10M in capital dollars are available to support work and equipment at each project's not-for-profit partner(s). The for-profit partner must provide salary support for at least one data scientist (either graduate student or postdoctoral fellow) to be appointed, at least in part, at the not-for-profit partner, as well as other financial and in-kind contributions to leverage MLSC capital dollars.
 
The Bits to Bytes Capital Call is designed to provide grants for capital projects that support the life sciences ecosystem in Massachusetts by enabling and supporting the generation and analysis of large datasets to answer pressing life science questions, and to attract and train data scientists in the Commonwealth. Project teams comprise not-for-profit applicants collaborating with at least one for-profit Massachusetts life science company to solve some of the most pressing life science questions using high throughput approaches generating large datasets. The requested funds can only be used to support capital costs (equipment, supplies, reagents) at the MA non-profit institution. The program will begin accepting applications on November 8, 2018 for its inaugural year. 
NetAppFacultyFellowship
Advanced Technology Group (ATG)
NetApp ATG Faculty Fellowship Program
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission
Award Information : Award  amounts vary, however they usually cover a significant amount of the cost for a graduate student to work on the project for a year. FAS and SEAS applicants must request an indirect cost rate of 69% on sponsored research applications to industry.  
 
The NetApp Faculty Fellowship (NFF) program was established to encourage leading-edge research in storage and data management and to foster relationships between academic researchers and NetApp's technical community. The NFF program accepts research proposals from full-time faculty and post-graduate researchers employed by an accredited university that has a PhD program in the field of the proposal's principal investigators.

The NFF program is interested in proposals that describe an innovative project that a researcher desires to pursue over the next one to three years and the proposed research has some alignment with NetApp core technology and business interests (storage and data management). A sponsor from NetApp will be assigned to communicate and in some cases may collaborate with project's PI(s) and team. 

Topics of particular interest include:
  • Data security in next generation data centers
  • Data management and security in hybrid clouds
  • Data center and enterprise networking
  • Novel data systems, including NoSQL databases, big data systems, and data streaming systems
  • IoT and real time analytics
NSFAccelNet
Accelerating Research through International Network-to-Network Collaborations (AccelNet)
Sponsor Deadline for Letters of Intent (required): December 21, 2018
Sponsor Deadline for Full Proposals: February 28, 2019
OSP Deadline: 5 business days prior to submission
Award Information Catalytic awards will be made with a total budget up to $750,000 for up to 3 years. Full-Scale Implementation awards will be made with a total budget up to $2M for up to 5 years.
 
The goals of the Accelerating Research through International Network-to-Network Collaborations (AccelNet) program are to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multi-team international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts. The program seeks to foster high-impact science and engineering by providing opportunities to create new collaborations and new combinations of resources and ideas among linked global networks.

This solicitation invites proposals for the creation of international networks of networks in research areas aligned either with one of the NSF Big Ideas (of which "Harnessing the Data Revolution" is one) or a community-identified scientific challenge with international dimensions. AccelNet awards are meant to support the connections among research networks, rather than supporting fundamental research as the primary activity. Each network of networks is expected to engage in innovative collaborative activities that promote synergy of efforts across the networks and provide professional development for students, postdoctoral scholars, and early-career researchers. An individual may appear as PI or co-PI in no more than one proposal submitted in response to this solicitation.

There are two proposal categories covered by this solicitation: 
  • CatalyticNetworks of networks at the catalytic level may either be nascent in nature or be more established but have a limited-term goal.
  • Full-Scale ImplementationFull-Scale Implementation networks of networks are envisioned as consisting of a core of networks in the U.S. and abroad that are operational, have established an understanding of the status of the research and researchers across their fields, and are well-positioned to engage each other to advance research.
NSFAMPS
U.S. Department of Energy (DOE)
Directorate for Mathematical & Physical Sciences (MPS)
Algorithms for Modern Power Systems (AMPS)
Sponsor Deadline: February 11, 2019
OSP Deadline: February 4, 2019
Award Information The estimated number of awards and funding amounts are subject to the availability of funds. The total anticipated funding amount for AMPS is $1.2M for approximately 4-10 awards.  
 
The Algorithms for Modern Power Systems (AMPS) program will support research projects to develop the next generation of mathematical and statistical algorithms for improvement of the security, reliability, and efficiency of the modern power grid. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the Office of Electricity Delivery & Energy Reliability (OE) at the U.S. Department of Energy (DOE).
NSFAlgorithmsThreatDetect
Directorate for Mathematical & Physical Sciences (MPS)
Algorithms for Threat Detection (ATD)
Sponsor Deadline: February 19, 2019
OSP Deadline: February 11, 2019
Award Information The estimated number of awards and funding amounts are subject to the availability of funds. The total anticipated funding amount for ATD is $3M annually.  
 
The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).
NSFBDHubs
Directorate for Computer & Information Science & Engineering (CISE)
Big Data Regional Innovation Hubs (BD Hubs)
Sponsor Deadline: December 18, 2018
OSP Deadline: December 11, 2018
Award Information : Up to $4M for up to 4 years. Each BD Hub must allocate $250,000 annually of its budget for seed funding for new opportunities, that is, for a Seed Fund. The Seed Fund will be allocated on a competitive basis for small conferences, planning grants, travel, etc. Up to 4 projects will be funded.
 
NSF's Directorate for Computer and Information Science and Engineering (CISE) initiated the National Network of Big Data Regional Innovation Hubs (BD Hubs) program in FY 2015 ( NSF 15-562). Four Big Data Hubs (BD Hubs)-Midwest, Northeast, South, and West-were established, one in each of the four Census Regions of the United States. The BD Hubs provide the ability to engage local or regional stakeholders, e.g., city, county, and state governments, local industry and non-profits, and regional academic institutions, in big data research, and permit a focus on regional issues. These collaborative activities and partnerships play a critical role in building and sustaining a successful national big data innovation ecosystem.  Please note that this particular solicitation is not meant to be a source of funding for new research.

This solicitation continues the operation of a national network of BD Hubs. It builds on demonstrated strengths of the program, which has grown to include a set of BD Spokes affiliated with the BD Hubs, and is responsive to the recent developments in data science.  The NSF BD Hubs program is aligned with NSF's  Harnessing the Data Revolution  (HDR) Big Idea, one of  NSF's 10 Big Ideas for Future Investment .

Please note that organizations are limited to submitting one proposal in response to this Program Solicitation. If you are interested in submitting a proposal, please contact Erin Hale in FAS Research Development at erin_hale@fas.harvard.edu.
NSFCCRI
Directorate for Computer & Information Science & Engineering (CISE)
CISE Community Research Infrastructure (CCRI)
Sponsor Deadline for Letters of Intent (required): January 8, 2019
Sponsor Deadline for Full Proposals: February 20, 2019
OSP Deadline: 5 business days prior to submission
Award Information The majority of the  New awards will be made in the $750,000-$1.5M Medium range for up to 3 years. A small number of Grand awards may be made in the $1.5M-$5M range for up to 5 years. The majority of the Planning awards will be made in the $50,000-$100,000 range for up to 1.5 years. The majority of the ENS awards will be made in the $750,000-$2M range for up to 3 years. Up to 10 New awards, up to 5 ENS awards, and 3-5  Planning  awards will be made in each competition.
 
The Computer and Information Science and Engineering (CISE) Community Research Infrastructure (CCRI) program drives discovery and learning in the core CISE disciplines of the three participating divisions [(Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information and Intelligent Systems (IIS)] by funding the creation and enhancement of world-class research infrastructure. This research infrastructure will specifically support diverse communities of CISE researchers pursuing focused research agendas in computer and information science and engineering. This support involves developing the accompanying user services and engagement needed to attract, nurture, and grow a robust research community that is actively involved in determining directions for the infrastructure as well as management of the infrastructure. This should lead to infrastructure that can be sustained through community involvement and community leadership, and that will enable advances not possible with existing research infrastructure. Further, through the CCRI program, CISE seeks to ensure that researchers from a diverse range of academic institutions, including minority-serving and predominantly undergraduate institutions, as well as researchers from non-profit, non-academic organizations, have access to such infrastructure.

The CCRI program supports two classes of awards:
  • New awards support the creation of new CISE community research infrastructure with integrated tools, resources, user services, and community outreach to enable innovative CISE research opportunities to advance the frontiers of the CISE core research areas. The New award class includes Grand Ensemble (Grand)Medium Ensemble (Medium), and Planning awards.
  • Enhance/sustain (ENS) awards support the enhancement and sustainment of an existing CISE community infrastructure to enable world-class CISE research opportunities for broad-based communities of CISE researchers that extend well beyond the awardee organization(s).
Each CCRI New or ENS award may support the operation of such infrastructure, ensuring that the awardee organization(s) is (are) well positioned to provide a high quality of service to CISE community researchers expected to use the infrastructure to realize their research goals. An individual can be included or listed in at most one LOI. In each annual competition, an individual may participate in at most one proposal, across all classes, as PI, co-PI, or Senior Personnel. 
NSFCIS
Directorate for Engineering (ENG)
Civil Infrastructure Systems (CIS)
Sponsor Deadline: Rolling   
OSP Deadline: 5 business days prior to submission
Award Information The Division of Civil, Mechanical, and Manufacturing Innovation ( CMMI) is committed to supporting both single-investigator and team research, including larger-scale unsolicited proposals that are not feasible through a series of smaller projects and are not achievable by a single principal investigator (PI). These larger-scale proposals may request longer time frames (up to 5 years) and larger budgets (typically not exceeding $1.5M) that reflect the scope of work.  
 
The Civil Infrastructure Systems (CIS) program supports fundamental and innovative research in the design, operation and management of civil infrastructure that contributes to creating smart, sustainable and resilient communities at local, national and international scales. This program focuses on civil infrastructure as a system in which interactions between spatially- and functionally-distributed components and intersystem connections exist. All critical civil infrastructure systems are of interest, including transportation, power, water, pipelines and others.

The CIS program encourages potentially disruptive ideas that will open new frontiers and significantly broaden and transform relevant research communities. CIS particularly welcomes research that addresses big data analytics. The CIS program values diverse theoretical, scientific, mathematical, or computational contributions from a broad set of disciplines.
NSFCRCNS
Directorate for Computer & Information Science & Engineering (CISE)
Collaborative Research in Computational Neuroscience (CRCNS)
Sponsor Deadlines: November 25, 2019    
OSP Deadline: November 18, 2019
Award Information Award sizes for Research Projects (both domestic and international) are expected to range from approximately $100,000-$250,000 per year in direct costs, with durations of 3-5 years.  Awards for Data Sharing Projects will be scaled according to the needs of the project; typically they will be smaller in size than research awards. It is anticipated that a minimum of $5M will be available each year for this competition, with potentially $15-$20M annually, depending on the quality of proposals and availability of funds. 
 
Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), the United States-Israel Binational Science Foundation (BSF), Japan's National Institute of Information and Communications Technology (NICT), and the State Research Agency (Agencia Estatal de Investigación, AEI) and National Institute of Health Carlos III (Instituto de Salud Carlos III, ISCIII), both of Spain, support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.
 
Two classes of proposals will be considered in response to this solicitation:
  • Research Proposals describing collaborative research projects, and
  • Data Sharing Proposals to enable sharing of data and other resources.
Domestic and international projects will be considered. As detailed in the solicitation, international components of collaborative projects may be funded in parallel by the participating agencies. Specific CRCNS opportunities for parallel funding are available for bilateral US-German Research Proposals, US-German Data Sharing Proposals, US-French Research Proposals, US-French Data Sharing Proposals, US-Israeli Research Proposals, US-Israeli Data Sharing Proposals, US-Japanese Research Proposals, US-Japanese Data Sharing Proposals, US-Spanish Research Proposals, US-Spanish Data Sharing Proposals, and multilateral proposals involving the United States and two or more CRCNS partner countries (please see Section VIII of the solicitation for country-specific instructions, areas of interest and limitations). NSF will coordinate and manage the review of proposals jointly with participating domestic and foreign funding organizations, through a joint panel review process used by all participating funders.
NSFCDSE
National Science Foundation (NSF)
Computational and Data-Enabled Science and Engineering (CDS&E)
Sponsor Deadline: Varies by program  
OSP Deadline: 5 business days prior to submission
Award Information Varies by program.  Supplemental requests to existing awards will be considered in addition to proposals for new awards.
 
The goal of the CDS&E program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data analysis approaches. The intellectual drivers may be in an individual discipline or they may cut across more than one discipline in various Directorates. The key identifying factor is that the outcome relies on the development, adaptation, and utilization of one or more of the capabilities offered by advancement of both research and infrastructure in computation and data, either through cross-cutting or disciplinary programs. The CDS&E program is not intended to replace existing programs that make awards that involve computation and the analysis of large data sets. Rather, the CDS&E program is meant to fund awards that have a significant component of cyber development or cyber science that goes well beyond what would normally be included in these programs. 

The CDS&E program welcomes proposals in any area of research supported through the participating divisions that address at least one of the following criteria:
  • Promote the creation, development, and application of the next generation of mathematical, computational and statistical theories and tools that are essential for addressing the challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation and the explosion and production of digital experimental and observational data.
  • Promote and encourage integrated research projects that create, develop and apply novel computational, mathematical and statistical methods, algorithms, software, data curation, analysis, visualization and mining tools to address major, heretofore intractable questions in core science and engineering disciplines, including large-scale simulations and analysis of large and heterogeneous collections of data.
  • Encourage adventurous ideas that generate new paradigms and that create and apply novel techniques, generating and utilizing digital data in innovative ways to complement or dramatically enhance traditional computational, experimental, observational, and theoretical tools for scientific discovery and application.
  • Encourage ideas at the interface between scientific frameworks, computing capability, measurements and physical systems that enable advances well beyond the expected natural progression of individual activities, including development of science-driven algorithms to address pivotal problems in science and engineering and efficient methods to access, mine, and utilize large data sets.
NSFCDSEMSS
Directorate for Mathematical & Physical Sciences (MPS)
Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)
Sponsor Full Proposal Window: September 1-16, 2019   
OSP Deadline: 5 business days prior to submission
Award Information : Unspecified
 
The CDS&E-MSS program accepts proposals that confront and embrace the host of mathematical and statistical challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation on the one hand, and the explosion in production of digital and observational data on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical theories and tools that will be essential for addressing such issues. To this end, the program will support fundamental research in mathematics and statistics whose primary emphasis will be on meeting the aforementioned computational and data-related challenges. This program is part of the wider  Computational and Data-enabled Science and Engineering (CDS&E) enterprise at NSF that seeks to address this emerging discipline.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges.  Proposals of interest to the program will include a Principal Investigator or co-Principal Investigator who is a researcher in the mathematical or statistical sciences in an area supported by the Division of Mathematical Sciences. The program encourages submission of proposals that include multidisciplinary collaborations or the training of mathematicians and statisticians in CDS&E.
NSFCompPhysics
Directorate for Mathematical and Physical Sciences (MPS)
Computational Physics
Sponsor Deadlines: Vary by program
OSP Deadline: 5 business days prior to submission
Award Information : Award size and duration will be commensurate with the scope of the proposed project.
 
Computational Physics (CP) supports research for computational and data-enabled science. The program emphasizes novel methods for high-performance computing, such as algorithm development and efficient use of novel architectures, that require significant code development. Priority will be given to proposals that, in addition to compelling scientific goals, have a computational advance or new enabling capability.

Computational Physics is the program through which the Physics Division participates in the Computational and Data-Enabled Science and Engineering (CDS&E) program. The Computational Physics program is focused on investigations relevant to disciplines supported by the Physics Division, while encouraging broader impacts on other disciplines. Disciplines within the purview of the Physics Division include: atomic, molecular, optical, plasma, elementary particle, nuclear, gravitational and biological physics, particle astrophysics, and accelerator science. Proposals with intellectual focus in areas supported by other NSF Divisions should be submitted to those divisions directly. Proposals that cross Divisional lines are welcome, but the Physics Division encourages PIs to request a co-review by naming other Divisional programs on the cover sheet. This facilitates the co-review and participation of other programs in the review process.
NSFCIforBioResearch
Directorate for Biological Sciences (BIO)
Cyberinfrastructure for Biological Research (CIBR)
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission
Award Information: The size and duration of any individual request should be justified by the amount and complexity of the work to be accomplished. As a rule, the larger the budget, the greater the expected impact on the biological research community.
 
Biological processes at all scales from molecules to ecosystems are determined through the encoding, exchange, and interpretation of information. Advances in the biological sciences are enabled by our capacity to acquire, manage, represent, and analyze biological information through the use of modern instrumentation and computational tools. Proposals are invited that offer potentially transformative outcomes through the development of informatics tools and resources that: (1) offer novel and significant advances in the use of biological data and/or (2) will enable and stimulate advances through their impact on a significant segment of the biological research community supported by the NSF BIO Directorate.

Awards in CIBR should produce, or substantially expand a finished product that will have demonstrable impact in advancing biological research. Proposals should convey their likelihood of success through greater attention to user engagement, design quality, engineering practices, management plan, and dissemination. Budgets and award durations should accommodate the iterative process of bringing a proof of concept into a robust, broadly-adopted cyberinfrastructure. Development proposals are more outcome-driven than Innovation awards and are typically assessed on their perceived contribution to a broad portfolio of cyberinfrastructure resources. Synergies with, and leveraging of, other existing and ongoing resources are taken into consideration. Full proposals may be submitted anytime through the  Infrastructure Capacity for Biology Core Program (ICB).
NSFCICI
Directorate for Computer & Information Science & Engineering (CISE)
Cybersecurity Innovation for Cyberinfrastructure (CICI)
Sponsor Deadline: January 23, 2019
OSP Deadline: January 15, 2019
Award Information: Secure Scientific Cyberinfrastructure (SSC) awards will be supported at up to $1M total per award for up to 3 years. Research Data Protection (RDP) awards will be supported at up to $1M total per award for up to 3 years. A single Cybersecurity Center of Excellence (CCoE) award will be supported at up to $12.5M for up to 5 years.Total funding for the CICI program is anticipated to be $10M-$19.5M to support 6-12 awards.
 
The objective of the Cybersecurity Innovation for Cyberinfrastructure (CICI) program is to develop, deploy and integrate security solutions that benefit the scientific community by ensuring the integrity, resilience and reliability of the end-to-end scientific workflow. CICI seeks three categories of projects:
  1. Secure Scientific Cyberinfrastructure (SSC): These awards seek to secure the scientific workflow by encouraging novel and trustworthy architectural and design approaches, models and frameworks for the creation of a holistic, integrated security environment that spans the entire scientific CI ecosystem.
  2. Research Data Protection (RDP): These awards provide solutions that both ensure the provenance of research data and reduce the complexity of protecting research data sets regardless of funding source.
  3. Cybersecurity Center of Excellence (CCoE): This award seeks to provide the NSF community with a centralized resource of expertise and leadership in trustworthy cyberinfrastructure.
An individual can participate as PI, co-PI or senior personnel on no more than two CICI proposals.
NSFD3SC
National Science Foundation (NSF)
Directorate for Mathematical & Physical Sciences (MPS)
Dear Colleague Letter: Data-Driven Discovery Science in Chemistry (D3SC)
Sponsor Deadline:  Varies by program; EAGER, RAISE, and supplemental funding requests can be submitted at any time but are encouraged by  April 15, 2019  to ensure timely consideration
OSP Deadline: 5 business days prior to submission
Award Information: Varies by program
 
NSF's Division of Chemistry, together with the Catalysis Program and the Process Systems, Reaction Engineering, and Molecular Thermodynamics Program of the Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) through this Dear Colleague Letter (DCL) invite research proposals that utilize modern data science in the context of chemical and chemical engineering research. Successful D3SC proposals will emphasize new information that can be obtained from better utilization of data (including data from multiple laboratories, techniques, and/or chemical systems), and how this can lead to new research directions. Proposals that foster and strengthen interactions among chemists and data scientists, and that jointly engage theory, modeling, and experimentation to advance research goals are strongly encouraged. The most competitive proposals will provide detailed discussion of specific data-enabled approaches to be used, the significant chemical problem to be studied, new fundamental chemical knowledge to be gained and the broader relevance of the proposed activities to other areas of chemical research. Proposal elements that consider error and uncertainty analysis, record and store appropriate metadata, and determine the robustness and reliability of data are encouraged. Examples of possible topics include (but are not limited to) using tools of data visualization, data mining, machine learning (including emerging approaches such as deep learning and active learning), or other data analysis approaches.

Proposals in response to this DCL should be submitted to the existing program of interest in CHE or selected programs in CBET during the regular submission windows (deadlines) of the corresponding programs. Submission of other types of proposals such as EAGER (EArly-concept Grants for Exploratory Research), RAISE (Research Advanced by Interdisciplinary Science and Engineering) proposals, and requests for supplemental funding, may also be appropriate, but principal investigators are required to contact one of the cognizant D3SC Program Officers for additional guidance in advance of a potential submission.
NSFDCLCISEREUSupplements
National Science Foundation (NSF)*
Directorate for Computer & Information Science & Engineering (CISE)
Dear Colleague Letter: Research Experiences for Undergraduates (REU) CISE Supplemental Funding
Sponsor Deadline:  Priority will be given to supplemental funding requests submitted before March 30, 2019; the potential for funding requests after this date will be limited.
OSP Deadline: 5 business days prior to submission
Award Information: Up to $8,000 per student per year to cover a stipend and other related purposes. The duration for new requests is typically 1 year. Indirect costs are not allowed.
 
NSF's Directorate for Computer & Information Science & Engineering (CISE) invites grantees with active CISE awards to submit requests for  Research Experiences for Undergraduates (REU) Supplemental  funding, following the guidelines in the NSF REU program solicitation . REU stipend support helps encourage talented students to pursue research-based careers, while providing meaningful research experiences. If requests for REU supplemental support exceed funds available in CISE, requests will be considered in the order received. REU supplemental funds can be used at any time during the year. The proposed start date for a supplemental funding request must be after the conclusion of all existing REU supplements on the corresponding active CISE award. To be eligible for this opportunity, a student must be a US citizen or permanent resident of the US. The participation of students from groups underrepresented in computing - underrepresented minorities, women, and persons with disabilities - is strongly encouraged. In addition, CISE encourages submission of REU supplemental funding requests that specifically afford US veterans an opportunity to engage in meaningful research experiences.

For single-investigator projects, CISE REU supplemental funding requests should be for no more than two students for one year. Support for additional students can be requested as part of these supplemental funding requests if these students are from underrepresented groups, and the selected students are identified in the supplemental funding request. Research teams funded through multi-investigator projects may request support for a larger number of students, commensurate with the size and nature of their projects, with proportional additional support for students from underrepresented groups. Requests for larger numbers of students should be accompanied by detailed justifications.
NSFFMitF
Directorate of Computer & Information Science & Engineering
Formal Methods in the Field (FMitF)
Sponsor Deadline: January 15, 2019  
OSP Deadline: January 8, 2019
Award Information:  Track I Research Proposals are limited to $750,000 in total budget, with durations of up to 4 years. Track II Transition to Practice Proposals  are limited to $100,000 in total budget, with durations of up to 18 months.
 
The Formal Methods in the Field (FMitF) program aims to bring together researchers in formal methods with researchers in other areas of computer and information science and engineering to jointly develop rigorous and reproducible methodologies for designing and implementing correct-by-construction systems and applications with provable guarantees.

The FMitF program solicits two classes of proposals:
  • Track I: Research proposals: Each proposal must have at least one Principal Investigator (PI) or co-PI with expertise in formal methods and at least one with expertise in one or more of these fields: computer networks, cyber-human systems, distributed/operating systems, hybrid/dynamical systems, and machine learning. Proposals are expected to address the fundamental contributions to both formal methods and the respective field(s) and should include a proof of concept in the field along with a detailed evaluation plan that discusses intended scope of applicability, trade-offs, and limitations. 
  • Track II: Transition to Practice (TTP) proposals: The objective of this track is to support the ongoing development of extensible and robust formal methods research prototypes/tools to facilitate usability and accessibility to a larger and more diverse community of users. These proposals are expected to support the development, implementation, and deployment of later-stage successful formal methods research and tools into operational environments in order to bridge the gap between research and practice. A TTP proposal must include a project plan that addresses major tasks and system development milestones as well as an evaluation plan for the working system. Collaborations with industry are strongly encouraged. 
NSFHDRDSC
Harnessing the Data Revolution (HDR): Data Science Corps (DSC)
Sponsor Submission Window: January 28-February 4, 2019  
OSP Deadline: 5 business days prior to submission
Award Information:  Awards will typically be in the range of $1M-$1.2M for 3 years. 8-11 awards are anticipated.
 
NSF's  Harnessing the Data Revolution (HDR) Big Idea is a visionary, national-scale activity to enable new modes of data-driven discovery, allowing fundamentally new questions to be asked and answered in science and engineering frontiers, generating new knowledge and understanding, and accelerating discovery and innovation. The HDR vision is realized via a coordinated set of program solicitations resulting in an ecosystem of interrelated activities enabling (i) research in the foundations of data science; frameworks, algorithms, and systems for data science; and data-driven research in science and engineering; (ii) advanced cyberinfrastructure; and (iii) education and workforce development-all of which are designed to amplify the intrinsically multidisciplinary nature of the data science challenge. The HDR Big Idea will establish theoretical, technical, and ethical data science frameworks, and apply them to practical problems in science and engineering, and in society more generally. 

The  Data Science Corps  is one of the components of the HDR ecosystem, focusing on building capacity for harnessing the data revolution at the local, state, national, and international levels to help unleash the power of data in the service of science and society. The  Data Science Corps  will provide practical experiences, teach new skills, and offer teaching opportunities, in a variety of settings, to data scientists and data science students. It will also strive to promote data literacy and provide basic training in data science to the existing workforce across communities.  As a first step in establishing the  Data Science Corps , this solicitation focuses specifically on enabling participation by undergraduate students in the  Data Science Corps,  by supporting student stipends for participation in data science projects and supporting integration of real-world data science projects into classroom instruction.

Please note that organizations are limited to submitting one proposal in response to this Program Solicitation. If you are interested in submitting a proposal, please contact Erin Hale in FAS Research Development at erin_hale@fas.harvard.edu.
NSFNCS
National Science Foundation (NSF)
Integrative Strategies for Understanding Neural and Cognitive Systems
Sponsor Deadlines for Letters of Intent (required):  January 8, 2019 and January 8, 2020 for FOUNDATIONS Awards; December 7, 2018 for FRONTIERS Awards; CORE+ SUPPLEMENTS proposals do not require an LOI
Sponsor Deadlines for Full Proposals:  February 26, 2019 and February 6, 2020 for FOUNDATIONS Awards and CORE+ SUPPLEMENTS Awards; February 26, 2019 for FRONTIERS Awards
OSP Deadline: 5 business days prior to submission
Award Information:  Total budgets for FOUNDATIONS awards will typically range from a total of $500,000-$1M (including direct and indirect costs), with durations of 2-4 years. The NCS program also welcomes proposals for smaller FOUNDATIONS projects (typically requesting less than $250,000) that would lead to ambitious new research agendas. Hard limits have not been set on the budget range for individual FRONTIERS projects which may have a duration of up to 5 years. CORE+ SUPPLEMENTS funding may be requested up to 20% of the existing award, not to exceed $200,000.
 
This program calls for innovative, convergent, boundary-crossing proposals that can best capture new opportunities to understand complex aspects of neural and cognitive systems through integrative multidisciplinary approaches and map out new research frontiers. NSF seeks proposals that are bold and risky, and transcend the perspectives and approaches typical of disciplinary research efforts. The program focuses on four aspects of neural and cognitive systems including  Data-Intensive Neuroscience and Cognitive Science. Proposals must address both risk and reward: high-risk, high-payoff approaches are expected. Proposals must also be consistent with the missions of the participating directorates, while going beyond the scope of any NSF core program, or they will not be considered responsive to the solicitation.
 
NCS will consider three classes of proposals. FOUNDATIONS awards (CISE, EHR, ENG, and SBE Directorates; referred to as INTEGRATIVE FOUNDATIONS in earlier NCS solicitations) will support high-risk, high-payoff projects that advance the foundations of one or more NCS focus areas. FRONTIERS awards (CISE, EHR, ENG, and SBE Directorates; FY2019 competition only) will support ambitious, highly integrative, interdisciplinary projects that advance and connect multiple integrative research threads to tackle challenges that, without a high level of collaboration and coordination, would remain intractable. CORE+ SUPPLEMENTS (CISE, EHR, and ENG Directorates) will provide additional support to existing funded projects in the participating directorates, to enable activities that will connect those projects to significant new integrative opportunities in neural and cognitive systems.
NSFSPX
Directorate for Computer & Information Science & Engineering (CISE)
Scalable Parallelism in the Extreme (SPX)
Sponsor Deadline:  January 17, 2019 
OSP Deadline: January 10, 2019
Award Information: Up to $3M for 3-4 years. SPX encourages smaller, exploratory projects as well as larger ones. Approximately $10M will be made available in FY 2019 to support up to 10 awards.
 
The Scalable Parallelism in the Extreme (SPX) program aims to support research addressing the challenges of increasing performance in today's modern era of parallel computing. This will require a collaborative effort among researchers in multiple areas, from services and applications down to micro-architecture.  Each proposal is required to have two or more PIs providing different and distinct expertise relevant to the program's focus areas.  SPX encompasses all five National Strategic Computing Initiative (NSCI)  Strategic Objectives , including supporting foundational research toward architecture and software approaches that drive performance improvements in the post-Moore's Law era; development and deployment of programmable, scalable, and reusable platforms in the national HPC and scientific cyberinfrastructure ecosystem; increased coherence of data analytic computing and modeling and simulation; and capable extreme-scale computing. Within the general focus of cross-layer design, the SPX program is broadly interested in topics pertaining to Algorithms, Programming Languages and Systems, Applications, Architecture and Systems, Extensible Distributed Systems, and Performance Predictability. Coordination with industrial efforts that pursue related goals are encouraged.  An investigator may participate as PI, co-PI, or senior personnel in no more than one proposal submitted in response to this solicitation.
NSFSaTC
Directorate for Computer & Information Science & Engineering (CISE)
Secure and Trustworthy Cyberspace (SaTC)
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission
Award Information: See below for details. In FY 2019, NSF anticipates approximately 10 EDU awards, 55 Small awards, and 28 Medium awards.
 
The SaTC program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are both encouraged.

Proposals must be submitted pursuant to one of the following designations, each of which may have additional restrictions and administrative obligations as specified in this program solicitation.
  • CORE: This designation is the main focus of the SaTC research program, spanning the interests of NSF's Directorates for Computer and Information Science and Engineering (CISE), Engineering (ENG), Mathematical and Physical Sciences (MPS), and Social, Behavioral and Economic Sciences (SBE).
  • EDU: The Education (EDU) designation will be used to label proposals focusing entirely on cybersecurity education. 
  • TTP: The Transition to Practice (TTP) designation will be used to label proposals that are focused exclusively on transitioning existing research results to practice.

CORE and TTP proposals may be submitted in one of the following project size classes:

  • Small projects: up to $500,000 in total budget, with durations of up to three years;
  • Medium projects: $500,001 to $1,200,000 in total budget, with durations of up to four years.

EDU proposals are limited to $500,000 in total budget, with durations of up to three years.


An individual can participate as a PI, co-PI or senior personnel on no more than three SaTC proposals (one designated as CORE, one designated as TTP, one designated as EDU).
Sloan
Digital Technology - Data and Computational Research
Sponsor Deadline: Rolling, requires Letter of Inquiry
OSP Deadline: 5 business days prior to submission
Award Information: Two types of applications, <$125,000 and >$125,000. Awards >$125,000 provide overhead up to 15%.  Overhead is not allowed on awards <$125,000. Since t his amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.

This program seeks to support the efficient management and sharing of research data and code from acquisition through analysis; and grow the current and future scientific data work force. 

Grants in this program tend to fall into four broad types:
  • Software grants support technology development ranging from prototyping funds to substantial scaling resources;
  • Training grants aim at supporting work force training and curricular initiatives as well as targeted adoption of new technologies by specific communities;
  • Research grants bring historical, ethnographic, and economic research methods to bear on our understanding of scholarly activities in a changing technological context;
  • Community grants build networks for knowledge exchange across disciplines as well as institutions that serve to incubate sustainable research and software projects.
Grant requests can be made at any time. A brief letter of inquiry is the first step for an applicant.
SloanEnergyEnvironment
Energy & Environment
Sponsor Deadline: Rolling, requires Letter of Inquiry
OSP Deadline: 5 business days prior to submission
Award Information: Two types of applications, <$125,000 and >$125,000. Awards >$125,000 provide overhead up to 15%.  Overhead is not allowed on awards <$125,000. Since t his amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.

This program seeks to advance understanding about the economic, environmental, security, and policy trade-offs associated with the increased deployment of low- and no-carbon resources and technologies across the energy system and the resulting impacts on the quality of American life.  Grants in this program focus on investigating underexplored research questions related to energy sources (supply), transmission and distribution, energy use (demand), new energy technologies, the economics of energy transmission and distribution, big data, energy efficiency, and transportation.

Grant requests can be made at any time. A brief letter of inquiry is the first step for an applicant.
Biomedical Science
DODUSAMRMC
United States Army Medical Research and Materiel Command (USAMRMC)
FY18-FY22 Broad Agency Announcement for Extramural Medical Research
Sponsor Deadline for Pre-Proposals (required): Rolling through September 30, 2022 
OSP Deadline: 5 business days prior to submission
Award Information: No budget limits; award duration for research projects is up to 4 or 5 years; for conference/symposium awards, duration is up to 2 years.

The USAMRMC mission is to provide solutions to medical problems of importance to the American Service member at home and abroad, as well as to the general public at large. Projects must be for scientific study and experimentation directed toward advancing the state of the art or increasing knowledge or understanding rather than focusing on a specific system or hardware solution. Research and development funded through this BAA are intended and expected to benefit and inform both military and civilian medical practice and knowledge. Support for conferences and symposia is also available, in addition to research funding. 

Under USAMRMC's Medical Simulation and Information Sciences Research Program, the Health Information Technology and Informatics (HITI) Portfolio solicits applications in the area of Health Information Technology Infrastructure and Data Management, specifically about improvements to data availability, management, storage, and operational use of Enterprise Health Data. Proposed objectives should ensure the unique identification of each patient, as well as aggregated data strategies for population health and big data.
HRSAAutismR41
Maternal and Child Health Bureau (MCHB)
Autism Secondary Data Analysis Research Program (R41)
Sponsor Deadline:   January 22, 2019
OSP Deadline: January 14, 2019
Award Information:  Up to $100,000 for 1 year. Up to 4 grants are anticipated in FY19.

The purpose of this program is to improve the physical and behavioral health of children and adolescents with autism spectrum disorder (ASD) and other developmental disabilities (DD) by (1) reviewing and evaluating the effectiveness of ASD/DD interventions and (2) assessing disparities in access to ASD/DD screening, diagnosis and treatment through grants for secondary analyses of existing publicly available and accessible national datasets and/or administrative records. An individual cannot be named as the Project Director (PD) or Principal Investigator (PI) on more than one application for this competition.
NIHBRAINDataArchiveR24
BRAIN Initiative: Data Archives for the BRAIN Initiative (R24 Clinical Trial Optional)
Sponsor Deadline for Letters of Intent (requested):  August 6, 2019
Sponsor Deadline for Full Proposals: September 6, 2019
OSP Deadline: August 29, 2019
Award Information:  Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. NIH intends to commit an estimated total of $3M to fund 3-5 new awards at each receipt date. It is expected that costs will be substantially higher after the first year of these awards.

This FOA solicits applications to develop web-accessible data archives to capture, store, and curate data related to BRAIN Initiative activities. The data archives will work with the research community to incorporate tools that allow users to analyze and visualize the data, but the creation of such tools is not part of this FOA. The data archives will use appropriate standards to describe the data, but the creation of such standards is not part of this FOA. A goal of this program is to advance research by creating a community resource data archive with appropriate standards and summary information that is broadly available and accessible to the research community for furthering research.
NIHBRAINDataAnalysisR01
BRAIN Initiative: Integration and Analysis of BRAIN Initiative Data (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested):  30 days prior to the proposal deadline
Sponsor Deadlines for Full Proposals: March 7, 2019; September 6, 2019; March 6, 2020; September 9, 2020; March 4, 2021
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 3 years. NIH intends to commit an estimated total of $4M to fund 10 awards.

This FOA solicits applications to develop informatics tools for analyzing, visualizing, and integrating data related to the BRAIN Initiative or to enhance our understanding of the brain. Tools that integrate different types of data may link data across multiple scales or across different species. The focus for integration tools in this FOA is mainly in finding the data and applying metrics for data alignment, standardization and normalization for further analysis. The tools must be user-friendly in accessing and analyzing data from appropriate data archives. Ultimately, it is expected that much of the BRAIN Initiative data will be stored in a cloud environment, although that may not be initially true. In general, the tools supported under this FOA should analyze/visualize data without the need to download them. The tools should allow data to be combined for analysis/visualization from multiple locations.
NIHBRAINTheoriesMethModelsR01
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trials Not Allowed)
Sponsor Deadline for Letters of Intent (requested):  August 3, 2019
Sponsor Deadline for Full Proposals: September 3, 2019
OSP Deadline: August 26, 2019
Award Information:  Application budgets are not limited, but are expected to range between $150,000 to $250,000 in direct costs per year. Awards are for 3 years of support. The NIH BRAIN Initiative anticipates providing $6M per year to fund up to 15 awards each year.

This FOA solicits new theories, computational models, and statistical tools to derive understanding of brain function from complex neuroscience data. Proposed tools could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting dynamical features and patterns in complex brain data. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to validity testing of the tools being developed.
NIHNCIInformaticsUG3UH3
National Cancer Institute (NCI)
New Informatics Tools and Methods to Enhance U.S. Cancer Surveillance Research (UG3/UH3)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the proposal deadline
Sponsor Deadlines for Full Proposals: November 30, 2018; April 16, 2019  
OSP Deadline: 5 business days prior to submission
Award Information: Budgets must not exceed $600,000 [i.e., no more than $300,000 per year for the first two years] in direct costs for the UG3 phase and $1.5M (direct costs) [i.e., no more than $500,000 per year for the last three years] during the UH3 phase. 

The goal of this FOA is to advance surveillance science by supporting the development of new and innovative tools and methods for more efficient, detailed, timely, and accurate data collection by cancer registries. Specifically, the FOA seeks applications for projects to develop, adapt, apply, scale-up, and validate tools and methods to improve the collection and integration of cancer registry data and to expand the data items collected. Applications must be built on partnership with U.S. population-based central cancer registries (a partnership must involve at least two different registries). Tools and methods proposed for development are expected to enhance the registry core infrastructure and, in so doing, expand the usefulness of registry-collected data to support high-quality cancer research. 

The scientific scope of this FOA includes but is not limited to: 
  • Development, validation, evaluation of scalable tools/methods to facilitate automatic/unsupervised extraction of specific data from various types of unstructured medical records as for example, pathology reports, diagnostic imaging, laboratory, discharge and clinical visits;
  • Supplementation of cancer registries with new or more detailed data items, from existing data sources or from linkages with novel data sources, e.g. electronic medical records (EMR).
Investigators applying to this FOA must apply for both the UG3 and UH3 phases together. The initial UG3 exploratory phase will be a feasibility study to demonstrate technical functionality and potential of the proposed tools/methods in a U.S. population-based central cancer registry by meeting specific performance milestones. UG3 projects that have met their milestones will be administratively considered by NCI and prioritized for transition to the UH3 validation phase. UH3 awards will support scalability, portability and implementation of the tools/methods in additional U.S. population-based central cancer registries (at least one more cancer registry).   
NIHNHGRICompGenomicsDS
National Institutes of Health (NIH)
National Human Genome Research Institute (NHGRI)
Investigator Initiated Research in Computational Genomics and Data Science (R01 and R21 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: July 16, 2019; November 16, 2019; July 16, 2020; November 16, 2020; July 16, 2021  
OSP Deadline: 5 business days prior to submission 
Award Information: R01  application budgets are limited to $500,000 in direct costs per year . The maximum project period for an R01 is 5 years. The combined budget for direct costs for a two year R21 project period may not exceed $275,000. No more than $200,000 may be requested in any single R21 budget year.

The purpose of these funding opportunity announcements (FOAs) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. These FOAs support fundamental genomics research developing innovative analytical methodologies and approaches, early stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under these FOAs should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All applications should address how the methods would scale to address larger and larger data sets.
NIHNIAIDHIVPreventionR01
National Institute of Allergy and Infectious Diseases (NIAID)
Modeling and Simulation to Optimize HIV Prevention Research (MS OPR) (R01 Clinical Trial Not Allowed)
Sponsor Deadline: December 13, 2018  
OSP Deadline: December 6, 2018 
Award Information: Application budgets are limited to $400,000 per year in direct costs. The maximum project period is 4 years. NIAID intends to commit $2.4M in FY19 to fund 2-4 awards. 
  
The purpose of this Funding Opportunity Announcement (FOA) is to support the development and validation of modeling and simulation methods and related tools to examine HIV transmission dynamics, make epidemic projections, and estimate the impact of HIV treatment and prevention. Investigators are expected to share these resources with other researchers. Funding for the final fourth year is dependent upon achieving applicant-proposed and pre-award negotiated "Go/No-Go criteria". 

Examples of research projects that are responsive to this FOA include those that use multiple, large data sources to develop and validate synthetic populations for major risk groups (MSM in North America or Europe, general populations in SSA, and others) to optimize regional prevention strategies.
NIHGettingtoZeroR01
Getting to Zero: Understanding HIV Viral Suppression and Transmission in the United States (R01 Clinical Trial Not Allowed)
Sponsor Deadlines: March 14, 2019; March 13, 2020
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. NIH  intends to commit an estimated total of $3.25M to fund 3-5 awards in fiscal year 2019. Future year amounts will depend on annual appropriations.

The purpose of this FOA is to support grants to improve measurement and understanding of viral suppression and HIV transmission in the United States using population-level epidemiology and novel tools from Big Data Science approaches and m/eHealth. The outcome of this research will uncover new knowledge from data to build more effective and context-specific HIV control strategies for the U.S. epidemic.   
NIHHIV
Harnessing Big Data to Halt HIV (R01 Clinical Trial Optional)
Sponsor Deadlines: January 7, 2019; May 7, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). This FOA will support projects to assemble diverse big data sources, conduct robust and reproducible analyses, and create meaningful visualizations of big data, as well as engage ethical experts where appropriate to ensure the development of this scientific area is guided by ethical principles.
NIHNIGMS
National Institutes of Health (NIH)
National Institute of General Medicine (NIGMS)
Modeling of Infectious Disease Agent Study Research Projects (R01)
Sponsor Deadline: February 5, 2019
OSP Deadline: January 29, 2019
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years.

The purpose of this FOA is to support innovative research that will develop and apply computational tools and methods for modeling interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models should be useful to researchers, policymakers, or public health workers who want to better understand and respond to infectious diseases. This research opportunity encourages applications from institutions/organizations that propose to provide the scientific and public health communities better resources, knowledge, and tools to improve their ability to prepare for, identify, detect, control, and prevent the spread of infectious diseases caused by naturally occurring or intentionally released pathogens, including those relevant to biodefense.

Areas of focus include c onceptual development of models, particularly analytical and statistical tools for interpreting and using large data sets or model results.
NIHNIDA
National Institute on Drug Abuse (NIDA)
The Application of Big Data Analytics to Drug Abuse Research (R01 Clinical Trial Optional)
Sponsor Deadline for Letters of Intent (requested): January 5, 2019
Sponsor Deadline for Full Proposals: February 5, 2019
OSP Deadline: January 29, 2019
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction. NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records. Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research. The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in a great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction.
NIHNLM
National Library of Medicine (NLM)
NLM Career Development Award in Biomedical Informatics and Data Science (K01)
Sponsor Deadline: February 12, 2019
OSP Deadline: February 5, 2019
Award Information: Award budgets are composed of salary (up to $100,000 plus fringe benefits) and other program-related expenses ($50,000 per year). The total project period may not exceed 3 years.

The purpose of the NLM Career Development Award (K01) in Biomedical Informatics and Data Science is to provide support and "protected time" (a minimum of 75% of full-time professional effort for up to three years) for an intensive career development experience in biomedical informatics and data science leading to research independence. NLM invites K01 applications from junior investigators, who have either a health professional or research doctorate and who are in the first three years of their initial faculty positions. Candidates who received their training at one of NLM's university-based biomedical informatics training programs are encouraged to apply.
NIHNLMCompCuration
National Library of Medicine (NLM)
Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to full proposal deadline
Sponsor Deadlines for Full Proposals: January 31, 2019; July 31, 2019; January 31, 2020
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are limited to $250,000 in direct costs per year for up to 4 years.

NLM wishes to accelerate the availability of and access to secure, complete data sets and computational models that can serve as the basis of transformative biomedical discoveries by improving the speed and scope of the curation processes.
NIHNLMInformaticsDSR01
National Library of Medicine (NLM)
NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)
Sponsor Deadlines: February 5, 2019; June 5, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are limited to $250,000 per year in direct costs.  The maximum project period is 4 years.

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. The scope of NLM's interest in these research domains is broad, with emphasis on new methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, reusable approaches to discovery, curation, analysis, organization and management of health-related digital objects. Biomedical informatics and data science draw upon many fields, including mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences. Application domains include health care delivery, basic biomedical research, clinical and translational research, precision medicine, public health, biosurveillance, health information management in disasters, and similar areas. NLM defines biomedical informatics as the science of optimal representation, organization, management, integration and presentation of information relevant to human health and biology. NIH defines data science as the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data.
NIHNIAIDSecondAnalysisIDR21
National Institute of Allergy and Infectious Diseases (NIAID)
Secondary Analysis of Existing Datasets for Advancing Infectious Disease Research (R21 Clinical Trial Not Allowed)
Sponsor Deadlines: February 16, 2019; June 16, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Direct costs are limited to $275,000 over a two-year project period, with no more than $200,000 in direct costs allowed in any single year.

The purpose of this FOA is to support projects that utilize open-access data, alone or in combination with other datasets, to address knowledge gaps in basic and/or clinical research in infectious diseases.  
NIHMobileTechAnalyticsK18
National Institutes of Health (NIH)
Short-term Mentored Career Enhancement Awards in Mobile and Wireless Health Technology and Data Analytics: Cross-Training at the Intersection of Behavioral and Social Sciences and STEM Disciplines (K18 Independent Clinical Trial Not Allowed and K18 Independent Clinical Trial Required)
Sponsor Deadlines:  July 12, 2019; July 12, 2020
OSP Deadline: 5 business days prior to submission
Award Information:  Award budgets are composed of salary and other program-related expenses. Participating NIH Institutes and Centers will contribute up to $80,000 per year toward the salary of the career award recipient and $25,000 per year toward the research development costs of the award recipient . The total project period may not exceed 2 years.

The goal of this program is to support the development of research capability in mobile and wireless health technology (e.g., wearable devices, mobile applications, electronic health records, data analytics). Special emphasis will be given to independent behavioral and social sciences investigators who seek to train in a STEM discipline (e.g., big data analysis, computational modeling, engineering, computer science, and mathematics) or to STEM scientists who wish to train in a behavioral and social science discipline. Before submitting the application, the candidate must identify a mentor who will supervise the proposed career development and research experience.

By the time of award, the individual must be a citizen or a non-citizen national of the United States or have been lawfully admitted for permanent residence (i.e., possess a currently valid Permanent Resident Card USCIS Form I-551, or other legal verification of such status). Candidates for the K18 award must have a research or health-professional doctoral degree. This award is intended for well-established investigators who have established records of independent, peer-reviewed Federal or private research grant funding. Applicants are not required to have active research grant support at the time of application for this award. Candidates are required to commit a minimum of 75% of full-time professional effort (i.e., a minimum of 9 person-months) to their program of career development during the mentored phase. 
NIHSimModelingHealthDispR01
Simulation Modeling and Systems Science to Address Health Disparities (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: January 8, 2019; June 7, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Applications may request up to $250,000 in direct costs each year. The project period may not exceed 4 years.

The purpose of this FOA is to support investigative and collaborative research focused on developing and evaluating simulation modeling and systems science to understand and address minority health and health disparities.

Although no simulation models can replace real world settings or scenarios, many are becoming indispensable for decision making, such as national or local pandemic planning, and can have a profound impact on health policies relevant to minority health and health disparities. The field of SMSS may help to guide health disparities research, in identifying causal inference and what types of situations will be most amenable to research, policy, and practice interventions and in implicating where leverage may be best applied for any health disparity population. Electronic health records, mobile health technologies, smart devices, sensors, and high-end laboratory technologies have greatly expanded the availability of rich data for more accurate simulation and modeling under the systems perspective. Many innovative methods have been developed to help harmonize disparate data across diverse sources and guide informed decision making. Traditional study design and statistical methods need to be rethought in the context of big data and high-performance computing to tackle disparities among diverse populations including those with limited and small samples. Thus, it is important to advance SMSS using new big data technologies to understand the etiology of health disparities and guide intervention development and implementation.
NIHVAEHRLargeScaleDataR01
Department of Veterans Affairs (VA)
High-Priority Areas for Research Leveraging EHR and Large-Scale Data (R01 Clinical Trial Not Allowed)
Sponsor Deadlines for Full Proposals:  November 21, 2018; February 5, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years.

This Funding Opportunity Announcement encourages research project grant (R01) applications to leverage large-scale, real-world data from electronic health records (EHRs) from a variety of systems (e.g., the Department of Defense (DOD), Department of Veterans Affairs (VA), Centers for Medicare and Medicaid Services administrative claims, as well as public or private health care systems and networks) to understand risk, onset, course, and impact of treatments and services for mental and neurological disorders and to identify promising new mental health and neurological disorders research. There is particular interest in leveraging EHRs and administrative data to: 1) understand and improve the treatment of post traumatic psychopathology, including posttraumatic stress disorder, depression, traumatic brain injury (TBI), and risk for suicide; and 2) characterize post-trauma multi-symptom recovery trajectory patterns of TBI, that may include post traumatic stress disorder, depression, cognitive impairment, pain, substance abuse disorder and risk for suicide. NIH's National Institute of Mental Health (NIMH) also invites innovative approaches to use EHR and administrative data to understand risk, onset, course, and impact of treatments and services for mental disorders more broadly.
NSFCogNeuro
Directorate for Social, Behavioral & Economic Sciences (SBE)
Cognitive Neuroscience (CogNeuro) 
Sponsor Deadlines: February 11, 2019; August 13, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Average award size is ~$175,000 per year (including both direct and indirect costs) and the average duration is 3 years
 
The cognitive neuroscience program seeks to fund highly innovative proposals that employ brain-based measurements in order to advance our understanding of the neural systems that mediate cognitive processes.  New frontiers in cognitive neuroscience research have emerged from investigations that integrate data at different spatial and temporal scales.  Human cognitive science encompasses a wide range of topics, including attention, learning, memory, decision-making, language, social cognition, and emotions. Proposals will be considered that investigate a particular cognitive process using human brain data. 
NIHNSFJointDMSNIGMS
National Institutes of Health (NIH)
Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS)
Sponsor Full Proposal Window: September 1-18, 2019 
OSP Deadline: 5 business days prior to submission
Award Information: Awards for high-risk, high-reward exploratory projects, or those from new teams of collaborators, are expected to range from $100,000 to $200,000 (total costs) per year for 3 years. Awards for projects of larger scope from well-established teams are expected to range from $200,000 to $400,000 (total costs) per year with durations of 3-4 years. Approximately $5M per year will be made available for new applications (up to $2M from NSF and up to $3M from NIGMS), subject to availability of funds and receipt of meritorious proposals.
 
The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) plan to support fundamental research in mathematics and statistics necessary to answer questions in the biological and biomedical sciences. Both agencies recognize the need to promote research at the interface between mathematical and life sciences. This program is designed to encourage new collaborations, as well as to support innovative activities by existing teams. Awards from this competition may be made by either NSF or NIH at the option of the agencies, not the grantee.
NSFNIHDSMethodsBiomedResearch
National Institutes of Health (NIH)
Joint DMS/NLM Initiative on Generalizable Data Science Methods for Biomedical Research (DMS/NLM)
Sponsor Full Proposal Window: January 2-16, 2019 
OSP Deadline: 5 business days prior to submission
Award Information: Award sizes are expected to range from $200,000-$300,000 (total costs) per year with durations of up to 3 years. Approximately 8-10 awards from this competition may be made by either NSF or NIH at the option of the agencies, not the grantee.
 
The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Library of Medicine (NLM) at the National Institutes of Health (NIH) plan to support the development of innovative and transformative mathematical and statistical approaches to address important data-driven biomedical and health challenges. The rationale for this interagency collaboration is that significant advances may be expected as the result of continued NSF investments in foundational research in mathematics and statistics as well as inter- and multi-disciplinary research and training at the intersection of the quantitative/computational sciences and domain sciences, while NIH benefits from the enhancement of biomedical data science with new approaches that strengthen the reproducibility of biomedical research and support open science.

Of particular interest are new collaborative efforts involving mathematicians, statisticians, biomedical scientists, and clinicians aimed at blending first principles, science-based models with innovative data-driven and machine learning approaches to solve important biomedical problems. While the research may be motivated by a specific application or dataset, the development of methods that are generalizable and broadly applicable is preferred and encouraged.
NSFSCH
National Institutes of Health (NIH)
Smart and Connected Health (SCH): Connecting Data, People and Systems
Sponsor Deadline: December 11, 2018 
OSP Deadline: December 4, 2018
Award Information: U p to $300,000 per year for up to 4 years. 8-16 awards per year are anticipated.  
 
The purpose of this interagency program solicitation is to support the development of technologies, analytics and models supporting next generation health and medical research through high-risk, high-reward advances in computer and information science, engineering and technology, behavior and cognition. Collaborations between academic, industry, and other organizations are strongly encouraged to establish better linkages between fundamental science, medicine and healthcare practice and technology development, deployment and use. This solicitation is aligned with national reports calling for new partnerships to facilitate major changes in health and medicine, as well as healthcare delivery and is aimed at the fundamental research to enable these changes. Realizing the promise of disruptive transformation in health, medicine and/or healthcare will require well-coordinated, multi-disciplinary approaches that draw from the computer and information sciences, engineering, social, behavioral, cognitive and economic sciences, biomedical and health research. 

The solicitation invites applications for Integrative projects (INT) which undertake research addressing key application areas by solving problems in multiple scientific domains. The work must make fundamental contributions to two or more disciplines. Projects are expected to include several students and postdocs. Scientists from all disciplines are encouraged to participate. Collaborations with researchers in the health application domains are required.
RWJFHealthDataforAction
Health Data for Action: Leveraging Health Data for Actionable Insights (Data Access Award)
Sponsor Deadline for Preliminary Proposals (required): December 14, 2018 
Sponsor Deadline for Full Proposals (if invited): April 5, 2019
OSP Deadline: Any User Agreements between the Sponsor and the University require OSP review and approval.
Award Information: No financial awards will be made under this Call for Proposals.  Successful applicants will be given access to the selected dataset at no cost to the grantee for studies of up to 12 months. Up to 9 projects will be awarded. 
 
The Health Data for Action: Leveraging Health Data for Actionable Insights (Data Access Award) (HD4A) program will support innovative research that uses available data to answer important research questions. Applicants under this Call for Proposals (CFP) will write a proposal for a research study using data from one of the following four data providers: the  Health Care Cost Institute (HCCI)OptumLabsCareJourney, or  athenahealth. The proposed studies should enable relevant, innovative, and actionable research that uses the available data to answer important, policy-relevant questions. Successful applicants will receive access to these valuable data, which are described in greater detail in the CFP.  Successful applicants will be given access to the selected dataset at no cost to the grantee.
WellcomeDigiTechnologies
Innovator Awards: Digital Technologies
Sponsor Deadline:  December 3, 2018
OSP Deadline:  November 26, 2018
Award Information: Between £500,000 and £1 million for up to 2 years. Wellcome typically does not provide support for overhead costs. Since this amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.
 
These awards are open to researchers who are developing digital healthcare innovations that could have a significant and measurable impact on human health. Individuals and teams from not-for-profit and commercial organisations can apply. Organisations can be of any size, based anywhere in the world.  Wellcome particularly encourages collaborations from a variety of disciplines including data/software scientists, the physical sciences, engineering and the health sciences community (eg life science researchers, clinicians, medicinal chemists etc). Wellcome  also encourages partnerships between not-for-profit and commercial organisations.

Researchers working in any discipline and on any type of digital technology can apply. P rojects must be innovative, disruptive and address an unmet healthcare need or challenge. They  should develop technologies that could result in significant, measurable changes in quality, speed, cost and/or outcomes. Examples of digital technologies include:
  • intelligent: artificial intelligence and machine learning
  • data driven: data analytics and informatics
  • immersive: virtual and augmented reality
  • connected: internet of things (IoT), networks and sensors.
Education and Training
AERA
American Educational Research Association (AERA)
AERA Research Grants
Sponsor Deadline: TBA (anticipated Spring 2019)
OSP Deadline: TBA (anticipated Spring 2019)
Award Information: Awards for Research Grants are up to $20,000 for 1 year projects, or up to $35,000 for 2 year projects. Overhead is not allowed on AERA Resarch Grants.  This amount falls short of the 15% overhead required by FAS/SEAS policy. Please discuss with your grants administrator before preparing an application.
 
This program seeks to stimulate research on U.S. education issues using data from the large-scale, national and international data sets supported by the National Center for Education Statistics (NCES), NSF, and other federal agencies, and to increase the number of education researchers using these data sets. Applicants are encouraged to submit proposals that:
  • develop or benefit from new quantitative measures or methodological approaches for addressing education issues;
  • include interdisciplinary teams with subject matter expertise, especially when studying science, technology, engineering and mathematics (STEM) learning;
  • analyze TIMSS, PISA, or other international data resources; or
  • include the integration and analysis of more than one data set.
Research projects related to at least one of the strands above and to science and/or mathematics education are especially encouraged. Other topics of interest include policies and practices related to student achievement in STEM, contextual factors in education, educational participation and persistence (kindergarten through graduate school), early childhood education, and postsecondary education.
NIHNIGMST32
National Institute of General Medicine Sciences (NIGMS)
NIGMS Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32) 
Sponsor Deadline: January 25, 2019; May 25, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited. The maximum project period is 5 years.

The goal of the National Institute of General Medical Sciences (NIGMS) sponsored Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32) program is to develop a diverse pool of well-trained scientists available to address the Nation's biomedical research agenda. Specifically, this funding opportunity announcement (FOA) provides support to eligible, domestic institutions to develop and implement effective, evidence-based approaches to biomedical graduate training and mentoring that will keep pace with the rapid evolution of the biomedical research enterprise. NIGMS expects that the proposed research training programs will incorporate didactic, research, and career development elements to prepare trainees for careers that will have a significant impact on the health-related research needs of the Nation. NIGMS will accept predoctoral training grant applications in a  broad range of basic biomedical sciences

NIGMS recently issued a Notice announcing an expansion of the focus of its predoctoral training program in bioinformatics and computational biology to include the newly arising fields of data sciences, machine learning, deep learning, artificial intelligence, and virtual-reality technologies. Accordingly, this training program area has been renamed as  Computational Biology, Bioinformatics and Biomedical Data Science to reflect these changes.
NIHPredocAnalyticsT32
Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program (T32) 
Sponsor Deadline: May 25, 2019
OSP Deadline: May 17, 2019
Award Information: Application budgets are not limited, but each institutional training program will be asked to appoint up to 5 trainees annually. The maximum project period is 5 years.

This FOA solicits applications for new Behavioral and Social Sciences Research (BSSR) predoctoral training programs that focus on innovative computational and/or data science analytic approaches and their incorporation into training for the future BSSR health research workforce. The vision of the Advanced Data Analytics for BSSR training program is to support the development of a cohort of specialized predoctoral candidates who will possess advanced competencies in data science analytics to apply to an increasingly complex landscape of behavioral and social health-related big data.

This FOA does not allow appointed Trainees to lead an independent clinical trial but does allow them to obtain research experience in a clinical trial led by a mentor or co-mentor.
NSFCSForAll
Computer Science for All (CSforAll:RPP)
Sponsor Deadlines: February 12, 2019
OSP Deadline: February 5, 2019
Award Information Small  proposals can request up to $300,000 for up to 2 years.  Medium  proposals may request up to $1M for up to 3 years. Large proposals can request a maximum of $2M for up to 4 years. NSF anticipates making approximately 10 small, 11 medium, and 3 large awards, totaling $20M, under this program.
 
This program aims to provide all U.S. students the opportunity to participate in computer science (CS) and computational thinking (CT) education in their schools at the preK-12 levels. With this solicitation, the National Science Foundation (NSF) focuses on researcher-practitioner partnerships (RPPs) that foster the research and development needed to bring CS and CT to all schools. Specifically, this solicitation aims to provide high school teachers with the preparation, professional development (PD) and ongoing support that they need to teach rigorous computer science courses; preK-8 teachers with the instructional materials and preparation they need to integrate CS and CT into their teaching; and schools and districts the resources needed to define and evaluate multi-grade pathways in CS and CT.

CT refers to the thought processes involved in formulating problems and their solutions in such a way that the solutions can be effectively carried out by an information-processing agent (usually a computer). CT activities do not require the presence of a computing tool, but involve the requisite reasoning needed to capitalize on the use of computational tools. CS, as used in this solicitation, includes CT but also the broad range of understandings, competencies, and skills needed to apply computation in our digital world. It includes topics of problem specification and representation; algorithm development; software design, programming, and debugging; the Internet and networking; big data; cybersecurity; and application across a wide range of disciplines, including the associated societal impact and ethical considerations. This solicitation focuses on CS and CT instruction, as distinct from the mere use of computers or the use of common computational tools such as word processors or video editing or presentation software. The ability to use such tools is often referred to as computational literacy. This solicitation supports education beyond computational literacy.
NSFDCLSTEMEdFuture
Dear Colleague Letter: STEM Education for the Future
Sponsor Deadline: Varies by program
OSP Deadline: 5 business days prior to submission
Award Information: Varies by program

Through this STEM Education for the Future Dear Colleague Letter (DCL), existing NSF education and workforce development programs encourage innovative proposals to prepare scientists and engineers for work in new contexts created by technology and big data. Specifically, through this DCL, NSF aims to support STEM educational research and development projects whose results can enable our country to: better prepare its scientific and technical workforce for the future; use technological innovations effectively for education; advance the frontiers of science; and adapt to both new work environments and new education pathways needed to prepare students at all levels for those environments. This DCL encourages proposals that reflect a coordinated effort from interdisciplinary research teams of at least two PIs from different disciplines.    

This DCL will support three categories of proposals:
  1. Proposals focused on educational transformation: These proposals will leverage technology, computation and/or big data to develop, implement, and analyze educational interventions designed to prepare a diverse workforce, researchers, and innovators of the future. Proposals that explore how students learn to integrate knowledge across disciplines to solve complex problems fall into this category.
  2. Proposals focused on the science of teaching and learning: These proposals will leverage technology, computation and/or big data to develop, implement, and analyze new tools for assessing and evaluating convergent education strategies that aim to promote student learning at all levels.
  3. Planning grants, Research Coordination Networks, Conference Proposals: These proposals will create communities of STEM educators to address convergent curriculum and pedagogical challenges across disciplinary boundaries brought about by the human-technology frontier, the data revolution, or both.
NSFRETEngCS
Directorate for Engineering (ENG) and Directorate for Computer & Information Science & Engineering (CISE)
Research Experiences for Teachers (RET) in Engineering and Computer Science
Sponsor Deadline: September 18, 2019 for RET Sites; RET Supplements may be requested at any time
OSP Deadline: 5 business days prior to submission
Award Information: The maximum total request for a Site is $600,000 for a duration of up to 3 years. Supplements are limited to a maximum of $10,000 per teacher and/or community college faculty for a duration of 1 year. It is anticipated that approximately 9 Site awards will be made per year, and the total anticipated funding in FY 2019 and FY 2020 for both Sites and Supplements is approximately $5.8M per year.

NSF's Directorate for Engineering (ENG) and the Directorate for Computer and Information Science and Engineering (CISE) have joined to support the Research Experiences for Teachers (RET) in Engineering and Computer Science program. This program supports active long-term collaborative partnerships between K-12 Science, Technology, Engineering, Computer and Information Science, and Mathematics (STEM) in-service and pre-service teachers, full-time community college faculty, and university faculty and students to enhance the scientific disciplinary knowledge and capacity of the STEM teachers and/or community college faculty through participation in authentic summer research experiences with engineering and computer science faculty researchers. The research projects and experiences all revolve around a focused research area related to engineering and/or computer science that will provide a common cohort experience to the participating educators. The K-12 STEM teachers and/or full-time community college faculty also translate their research experiences and new scientific knowledge into their classroom activities and curricula. The university team will include faculty, graduate and undergraduate students as well as industrial advisors. Involvement of graduate students in support of academic-year classroom activities is particularly encouraged. Partnerships with inner city, rural or other high needs schools are especially encouraged, as is participation by underrepresented minorities, women, veterans, and persons with disabilities.

As part of the long-term partnership arrangements, university undergraduate/graduate students will partner with pre-college/community college faculty in their classrooms during the academic year to support the integration of the RET curricular materials into classroom activities.

This announcement features two mechanisms for support of in-service and pre-service K-12 STEM teachers and full-time community college faculty: (1) RET supplements to ongoing ENG and CISE awards and (2) new RET Site awards. RET supplements may be included outside this solicitation in proposals for new or renewed ENG and CISE grants or as supplements to ongoing ENG- and CISE-funded projects. RET in Engineering and Computer Science Sites, through this solicitation, are based on independent proposals from engineering and/or computer and/or information science departments, schools or colleges to initiate and conduct research participation projects for K-12 STEM teachers and/or full-time community college faculty.

Please note that organizations are limited to submitting three RET Site proposals in response to this solicitation. No  more than two of the three proposals may have an engineering focus  and only one of the three proposals may have a computer and/or information science focus If you are interested in submitting a proposal, please contact Erin Hale in FAS Research Development at  erin_hale@fas.harvard.edu.
NSFWorkforceSurveyData
Directorate for Social, Behavioral & Economic Sciences (SBE)
Research on the Science and Technology Enterprise: Statistics and Surveys - R&D, U.S. S&T Competitiveness, STEM Education, S&T Workforce
Sponsor Deadline: January 15, 2019
OSP Deadline: January 8, 2019
Award Information: The total maximum amount for all awards in FY18 is $750,000. 7-12 awards are anticipated.

The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States. It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets. NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise, to develop improved survey methodologies for NCSES surveys, to create and improve indicators of S&T activities and resources, and strengthen methodologies to analyze and disseminate S&T statistical data. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, workshops, experimental research, survey research and data collection and dissemination projects under its program for Research on the Science and Technology Enterprise: Statistics and Surveys.
NSFCyberTraining2018
Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining)
Sponsor Deadline: February 6, 2019
OSP Deadline: January 30, 2019
Award Information:  Pilot  Projects will be funded up to $300,000 in total costs with durations up to 2 years.  Implementation Projects may be requested at the Small level (with total budgets of up to $500,000) or Medium (with total budgets of up to $1M) for durations of up to 4 years; and  Large-scale Project Conceptualization Projects will be funded up to $500,000 in total costs with durations up to 2 years. Up to 4 Pilot, 8 Small and 3 Medium Implementation, and 3 Large-scale Project Conceptualization awards are anticipated.

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering research and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers' abilities to lead the development of new CI; and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses for advancing fundamental research. Pilot and Implementation projects may target one or both of the solicitation goals, while Large-scale Project Conceptualization projects must address both goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental research.

Three classes of proposals are being accepted:
  • Pilot projects are exploratory activities that may lead to Implementation projects.
  • Implementation projects make CI training and educational activities or curriculum/instructional materials broadly accessible to a significant portion of a community for one or more disciplines. 
  • Large-scale Project Conceptualization awards are planning grants for potential future large-scale (at the level of institutes) CyberTraining projects. 
To ensure relevance to community needs and to facilitate adoption, those proposals of interest to one or more domain divisions must include at least one PI/co-PI with expertise relevant to the targeted research discipline. All proposals shall include at least one PI/co-PI with expertise relevant to OAC. An individual may serve as PI or co-PI on only one Pilot or Implementation proposal submitted to the CyberTraining program per competition. There are no restrictions or limits on Large-scale Project Conceptualization Project proposals.
Questions about this newsletter or proposal submission may be directed to:

Jennifer Corby
Research Development Officer
jcorby@fas.harvard.edu | 617-495-1590

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Research Development | Research Administration Services | research.fas.harvard.edu