Vice President for Research
Proposal Services & Faculty Support
November Funding Focus Newsletter #1
Limited Submission Announcements
The purpose of the Program is to provide start-up monies for new research projects in the field of neuroscience that will likely lead to extramural funding from the National Institutes of Health (NIH) or other outside funding sources. The objective of the program is to support new and innovative projects, especially those of junior faculty, who are working in new research directions. BRF Seed Grant awards are not intended to supplement existing grants. The area of studies is brain function. This includes molecular and clinical neuroscience as well as studies of neural, sensory, motor, cognitive, behavioral and emotional functioning in health and disease. 

Funding preferences are as follows: 
- Funding is to be directed at pilot research projects that are both innovative and will likely lead to successful grant applications to NIH and other public and private funding entities. 
- Assistant Professor: Junior faculty with a new research project that will generate pilot data that will lead to RO1 funding or a comparable outside grant will be first priority. 
- Associate Professor: Faculty who are pursuing new research directions. Must explain how the project is a new research direction. Must provide abstract for current grant(s). (Note: A new technique is not considered a new direction unless it pertains to a different area of study.) 
- Seed Grants are not to be used for bridge funding between grants. 
Note that instructions for this limited submission deviate from standard instructions.
Institutional Limit: 1 Proposal
Internal Deadline: November 30, 2018, 4:45pm
In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas." The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Division of Information and Intelligent Systems (IIS) within the Directorate for Computer and Information Science and Engineering (CISE), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. 

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. 
Institutional Limit: 1 Proposal
Internal Deadline: November 30, 2018, 4:45pm
The Established Program to Stimulate Competitive Research (EPSCoR) is designed to fulfill the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. A jurisdiction is eligible to participate inEPSCoR programs if its level of NSF research support is equal to or less than 0.75 percent of the total NSF research and related activities budget for the most recent three-year period. Through this program, NSF establishes partnerships with government, higher education, and industry that are designed to effect sustainable improvements in a jurisdiction's research infrastructure, Research and Development (R&D) capacity, and hence, its R&D competitiveness. 

RII Track-4 provides opportunities for non-tenured investigators to further develop their individual research potential through extended collaborative visits to the nation's premier private, governmental, or academic research centers. During these visits, the EPSCoR Research Fellows will be able to learn new techniques, develop new collaborations or advance existing partnerships, benefit from access to unique equipment and facilities, and/or shift their research toward potentially transformative new directions. The experiences gained through the fellowships are intended to have lasting impacts that will enhance the Fellows' research trajectories well beyond the award period. These benefits to the Fellows are also expected to in turn improve the research capacity of their institutions and jurisdictions more broadly. Those submitting proposals must either hold a non-tenured faculty appointment at an institution of higher education or an early-career career-track appointment at an eligible non-degree-granting institution. 
Institutional Limit: 3 Proposals
Internal Deadline: December 14 , 2018, 4:45pm
Letter of Intent Due – January 8, 2019 5pm
Full Proposal Due February 20, 2019 5pm
The CISE Research Infrastructure (CRI) program drives discovery and learning in the core CISE disciplines of the three participating CISE divisions by supporting the creation and enhancement of world-class research infrastructure that will support focused research agendas in computer and information science and engineering. This infrastructure will enable CISE researchers to advance the frontiers of CISE research. Further, through the CRI program, CISE seeks to ensure that individuals from a diverse range of academic institutions, including minority-serving and predominantly undergraduate institutions, have access to such infrastructure. 
Preapplication Date: December 20, 2018 at 5pm (Eastern)
Full Proposal Date: March 27, 2019 at 5pm (Eastern)
Grants awarded under this program are intended to improve research capability through the support of a group of scientists and engineers, including graduate students and post-doctoral fellows, working on a common scientific theme in one or more than one EPSCoR jurisdictions. These awards are not appropriate mechanisms to provide support for individual faculty science and technology research projects.  

The objectives of the DOE EPSCoR Implementation Grants are to: 
  • Jumpstart capability development in the jurisdiction(s) through increased human and technical resources.
  • Support a group of researchers working on a common scientific theme, with mutually supporting goals and objectives.
  • When topically relevant to the subject matter of the application, promote collaborations with other institutions of higher education and industry with strong participation by students, postdoctoral fellows, and junior faculty from EPSCoR eligible institutions. These collaborations may include institutions from other EPSCoR jurisdictions. Collaborations involving more than one institution or more than one EPSCoR jurisdiction, while welcome, are not a requirement.
Proposal Services & Faculty Support
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