The 14th Annual MIT Chief Data Officer &
Information Quality Symposium
July 2020
On behalf of the Symposium team, we would like to take a moment and not only thank you, our loyal patrons, but also share a few details from this past 13th Annual Symposium. 
We had 5 Keynote speakers and over 35 separate speaking engagements, with an all-time record attendance of Data Leaders attend the Symposium. In fact, we had so many attendees that we were "Sold Out." A fantastic achievement!
We have received excellent feedback on our speakers throughout the event. Not only were the speakers outstanding, but the networking and sharing of information bi-directionally was also well received, as was our reception.
A BIG THANK YOU to our valued sponsors and attendees as you helped make this our best year yet!
Moving forward to 2020, due to our increasing volume of expected attendees, we are moving to a slightly bigger venue on the MIT campus. Building 32, the CSAIL Building, or commonly known as "The Dr. Seuss building," located only 500 meters from the Tang Center.
This year will have a few more speaking sessions and we have already had a few folks take advantage of the Early Bird registration . We encourage you all to as well!
We look forward to seeing both new & familiar faces in 2020!

the Symposium Team
Interested in the Conference Proceedings?
Contact Elizabeth Albee at
If you attended the 2019 MIT CDOIQ Symposium, we'd greatly appreciate 5 minutes of your time to fill out a survey based on your experience during the event. Your feedback is priceless to us. It would help the team tremendously as we are eager to deliver an even bigger and better Symposium next year!
The Rise of the Chief Data Officer in Canada

Gartner predicts that the majority of large companies - 90% - will have a Chief Data Officer (CDO) role by the end of 2019. This one-day event, organized by Richard Wang, introduces the role of the CDO and highlights the key challenges that organizations are looking to address around data management that can deliver the results and make the role a success
September 5, 2019 @ Toronto, Canada

Interested? Click here for more info & agenda
The Symposium team would like to take the opportunity to thank the Institute for Chief Data Officers at UA Little Rock for the year-round support for the MIT CDOIQ Symposium!

 Below are some recent publications
from the iCDO Research Team
Educational Infrastructure for Data-Driven Performance: Chief Data Officers
in the Big Data Era

By Lawrence Whitman, Richard Wang, Mihail Tudoreanu and Ningning Wu
Abstract: High-quality data and data analytics are two inter-related areas in the era of big data. Leading organizations are rapidly appointing Chief Data/Digital Officers (CDO) and Chief Analytic Officers (CAO) for competitive advantages and strategic necessities. Gartner Inc. reported that more than one thousand CDO/CAO positions have been established as of 2017, a tenfold increase from 2013; and the trend is growing steadily in both public and private sectors. As such, it is critical to provide training and education, which are based on rigorous and relevant research. The Institute for Chief Data Officers (iCDO) established by the State Department of Higher Education in 2016, anchored in the University of Arkansas at Little Rock, was conceived to address these critical issues. In this paper, we report our progress in the following areas: CDO training programs and on research using publicly available federal data to improve defense acquisition policies, contract, and procurement processes.

Data Enhancement and Analysis of
Federal Acquisition Databases

By Ningning Wu, M. Eduard Tudoreanu, Richard Wang and Wenxue Jiang
Abstract: The Federal Funding Accountability and Transparency Act of 2006 (FFATA) required federal contract, grant, loan, and other financial assistance awards of more than $25,000 be displayed on a publicly accessible and searchable website to give the American public access to information on what the federal government spends every year and how it spends the money. Federal acquisition databases, such as those maintained by and, serve this purpose. These databases contain contract information for all U.S. departments for the last 20 years. However, little has been done to dig into the data and extract the information that may provide valuable insights on potential ways to improve the efficiency of acquisition management. This paper takes a data science approach to assessing and enhancing the quality of the databases and to discovering patterns that can be potentially useful for acquisition research and practice.

Utilizing Public Data for Data Enhancement and Analysis of Federal Acquisition Data

By Ningning Wu, Richard Wang and M. Eduard Tudoreanu
Abstract: It is challenging to standardize data; yet, the capabilities to draw upon data across information systems hold huge potential for improving defense acquisition and procurement. Acquisition planning and management is a complex process. It involves many decision-making and action-taking processes that cover almost every aspect of the acquisition including actual acquisition, contracting, fiscal, legal, personnel, and regulatory requirements. A sound decision-making process has to rely on data – the high quality data. Often the data at hands are dirty, out-of-dated, incomplete, or insufficient for us to make a decision. On the other hand, there are enormous amount of data on the web that we can utilize to get the information we need. These data are publicly accessible and from a variety of sources including websites, government reports, news, wikis, blogs, online forums, and social media. This paper investigates how to leverage the information in public data sources to complement the internal data in order to support effective acquisition planning and management. This research is based on publicly available government acquisition databases at and . It takes data science approach for analyzing acquisition databases and focuses on two major tasks: 1) research on leveraging the web data for quality assessment and improvement of federal acquisition data; and 2) research on appropriate data analytic techniques to discover useful information that can potentially help federal acquisition management and planning process. 

Investigating Possible Locations of Undisclosed Subcontractors through Data Analytics of Employment and Federal Contract Records

By M. Eduard Tudoreanu, Keith Franklin, Ningning Wu and Richard Wang
Abstract: This paper analyzes data from employment and Federal contracts, and it provides a characterization of how contracts affect local employment. It is a continuation of the research presented at the last year's ARP Symposium on searching for undisclosed subcontractors by exploiting the linkages between publicly available employment data and cuts to federal contracts. Many Federal and DoD contracts are performed by a team of contracting entities, where some prime contractors rely on subcontractors to execute specific parts of the contract. For many reasons, including national security, privacy, or competitive advantage, some of these subcontractors are not publicly disclosed and have the potential to be unmitigated single stress points in the acquisition process. The paper focuses on gaining a deeper and data-verified understanding of the interactions between federal awards and employment numbers, particularly on the boost to local employment that the start of a large contract may provide. A process for analyzing large Federal contracts side by side to employment information is presented. The result of the analysis has found that locations of large Navy awards rank above 70% of other locations in the country in terms of the magnitude of employment changes, under certain industry classification reporting methods. 
Searching Hidden Links: Inferring Undisclosed Subcontractors from Public Contract Records and Employment Data

By M. Eduard Tudoreanu, Keith Franklin, Arnold Rego, Ningning Wu and Richard Wang
Abstract: Many prime contractors use subcontractors to meet the DoD requirements for Small Business Utilization, to incorporate specialized skills and to perform tasks that are not the prime contractors' core business. Some of these subcontractors are not explicitly made public for a variety of reasons, including security or competitive advantage. In such cases, because the involvement of these subcontractors in certain aspects of acquisition is not known, they can pose the risk of becoming a weak, stress point despite careful planning by the DoD. This paper examines whether such undisclosed contractors can be inferred through a combined analysis of both the published purchasing data (Federal Procurement Data Systems - Next Gen) and of additional pieces of information freely available on the web. In particular, this paper investigates employment data in an attempt to correlate changes in employment with negative modifications to contracts. It is possible that, when a contract is cut, the prime contractor may terminate a subcontract, resulting in layoffs of the subcontractor's employees. Employment numbers are published regularly and broken down to county and industry codes. This paper provides a preliminary analysis showing that drops in employment occur when small contractors have relatively large reductions in DoD contracts. 
CDO-1 Certificate Program

The CDO-1 Certificate Program offered by
Dr. Richard Wang will explain the definition and landscape of the Chief Data Officer's roles and responsibilities, provide introductions to big data technologies, data policy, data strategy, data governance, data analytics, data integration, and tools that are immediately deployable by CDOs. The certificate program will also include hands-on application of the tools learned to help drive business cases.


"This was the most valuable course I've attended in years! It was so refreshing to be immersed in a discussion with a technical slant that didn't focus on technology at all. A Chief Data Officer should be all about business strategy, enabling the use of data in delivering business outcomes. That's easy to say, but no always easy to do, and CDO Fundamentals gave me a range of tools that give me the confidence to make it happen in the real world.
The curriculum balanced academic theory and practical application perfectly. Speakers from all disciplines were of the highest quality, and it was most impressive to hear about the application of the theory directly from living, breathing CDO's sharing their experiences - good and bad."


Next Upcoming Training:
November 14 - 15, 2019 @ Washington, DC

Register now to receive a 25% Early Bird Discount!
Discount Code: EarlyBird25
All sessions of the Annual MITCDOIQ Symposium will be held at the

Massachusetts Institute of Technology
July 2020

Stata Center
32 Vassar St
Cambridge, MA 02139

To inquire about s peaker opportunities , contact
Dr. Richard Wang at

For Sponsorship Opportunities , contact
Robert Lutton at

Volunteers are welcome! To learn more, contact
Collette Johnson at