The MITIQ team is led by Richard Wang, Stuart Madnick, and Yang
Dr. Richard Wang, Director of MIT’s Chief Data Officer & Information Quality Program
Richard Y. Wang is Director of the MIT Chief Data Officer and Information Quality (CDOIQ) Program. He is a pioneer and leader in the research and practice of Chief Data Officer (CDO). Dr. Wang has significant credentials across government, industry, and academia. He conceived and chaired the Inaugural MIT-Army CDO Forum, and established the CDO Forum as an annual event at MIT. In addition, he has been chairing the Annual MIT CDOIQ Symposium since 2007.
Dr. Wang was a professor at the MIT Sloan School of Management for almost a decade. From 2005-2009, he was appointed as a Visiting University Professor of Information Quality, University of Arkansas at Little Rock. He is an Honorary Professor at Xi’An Jiao Tong University, China.
Dr. Wang is the recipient of the 2005 DAMA International Achievement Award.
Previous recipients of this award include Codd for inventing the Relational Data model and Chen for the Entity Relationship model.
In 2005, he received a certificate of appreciation from the Director of Central Intelligence and a thank you letter from the Director of National Intelligence. From 2009-2011, Dr.
Wang served as the Deputy CDO and Chief Data Quality Officer of the U.S. Army, for which he received letters of appreciation from the Army’s Chief Information Officer, and the CIO at the Office of the Secretary of Defense.
Dr. Wang has
put the term Information Quality on the intellectual map with myriad publications. In 1996, Prof. Wang organized the premier International Conference on Information Quality, which he has served as the general conference chair and currently serves as Chairman of the Board. Wang’s books on information quality include Journey to Data Quality (MIT Press, 2006), Information Quality: Advances in Management Information Systems (M.E. Sharpe, 2005), Introduction to Information Quality (MITIQ Publications, 2005), Data Quality (Kluwer Academic, 2001), and Quality Information and Knowledge (Prentice Hall, 1999).
He received a Ph.D. in Information Technology from the MIT Sloan School of Management in 1985.
Professor Stuart Madnick, John Norris Maguire (1960) Professor of Information Technology, Professor of Information Technology and Engineering Systems,
Co-Director of the MIT IQ Program
Stuart Madnick is the John Norris Maguire (1960) Professor of Information Technology, a Professor of Information Technology and Engineering Systems, and the Co-Director of the PROFIT Program at the MIT Sloan School of Management.
Madnick finds ways to integrate information systems to provide organizations with a more global view of their operations. He is also involved in introducing new types of “aggregator” Internet applications—on-line applications that accumulate and synthesize information. One of his current projects identifies new technologies for gathering and analyzing information from many different sources, including conventional databases and the World Wide Web.
Madnick is testing these new technologies in the financial services, manufacturing, logistics, counter-terrorism, and transportation industries.
Madnick holds an SB and an SM in electrical engineering and management and a PhD in computer science from MIT.
GENERAL EXPERTISE: Big data; China; Cloud computing; Cyber security; Data management; Digitization; Dodd-Frank Act; Enterprise information systems; Facebook; Financial information technology; Financial reporting; Global standards; Healthcare exchanges; Information technology; Intellectual property; Intellectual property; Internet security; Legacy information systems; Management of information technology; MOOCs; Singapore; Social media; Social networks; Social networks; Sociotechnical system; Sociotechnical system; Technology security; United Arab Emirates
Professor Yang Lee, Deputy Director of the MIT IQ Program, Chair of the Supply Chain & Information Management Group at Northeastern University’s D’Amore-McKim School of Business
Professor Yang W. Lee is an internationally-renowned leader in the data and information quality field. She is Associate Professor of Supply Chain & Information Management in the D’Amore-McKim School of Business at Northeastern University. Professor Lee investigates the role of differentiated quality of information in information systems, work processes, and structural mechanisms in data-rich, service-critical, and extended organizational contexts. Her current research projects explore quality information products, IT-mediated institutional learning, context-reflective problem solving, service innovation, healthcare collaboration, and medical errors. Dr. Lee’s work includes numerous prestigious academic journal publications, and several books on data quality, including: Journey to Data Quality (MIT Press, 2006), Data Quality (Kluwer Academic Publishers, 2000), and Quality Information and Knowledge (Prentice Hall, 1999).
She is currently Deputy Director of MIT’s Information Quality Program. She is the founding Co-Editor-in-Chief of ACM Journal of Data and Information Quality, and she co-founded several data quality conferences and workshops, including the International Conference on Information Quality. She has put her research into practice, providing consultation and solutions for companies and agencies in the private and public sectors in the US and internationally for over 25 years. She was awarded for her work from many institutions including the US intelligence community. Dr. Lee received her Ph.D. from MIT.