UW-Madison was one of the recipients of the 1.5M in funding from the The National Science Foundation (NSF) in funding for twelve Transdisciplinary Research in Principles of Data Science (TRIPODS) projects
This new project will bring together the statistics, mathematics and theoretical computer science communities to develop the foundations of data science. One of the co-PI’s is Sebastien Roch, who worked with Qin Li, Jordan Ellenberg and Nigel Boston to help develop the proposal for the Institute for Foundations of Data Science (IFDS).
IFDS will serve as a hub for people across campus with expertise in mathematics, statistics, and computer science to explore new approaches to the formulation and solution of problems in data analysis, as well as to epitomize the possibilities of a collaborative approach to investigating fundamental issues in data science. IFDS will integrate with the broader UW-Madison agenda for data science research, creating a new home for research of a fundamental, theoretical nature. It will play a vital role in establishing graduate degree programs in data science and in outreach to industrial partners with interests in fundamental data science research.