A Duke University team led by professor of statistical science and mathematics Sayan Mukherjee has won a three-year, $1.5 million dollar grant that will develop the foundations of data science both at Duke and in the broader NC Research Triangle and surrounding region.
As part of the award, 25 Duke faculty from the departments of computer science, electrical engineering, mathematics, and statistical science will collaborate to develop new tools and methods in data science.
A big part of their efforts will be bringing together local and national experts for a series of workshops on topics under three themes: scalable algorithms with uncertainty for data science, data science at the human-machine interface, and fundamental limits of data science.
The project will also leverage existing data science programs, including the Rhodes Information Initiative at Duke, a center for "big data" computational research and expanding opportunities for student engagement in data science; and the Statistical and Applied Mathematical Sciences Institute (SAMSI), a partnership among Duke University, North Carolina State University, and the University of North Carolina at Chapel Hill.
Co-principal investigators include professors Cynthia Rudin, Robert Calderbank, Jianfeng Lu and Rong Ge. This project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity.