Data science is an important interdisciplinary field with significant impacts on many aspects of the modern world, including government, industry, academia, and the general public. Transdisciplinary Research In Principles Of Data Science (TRIPODS) brings together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities focused on core algorithmic, mathematical, and statistical principles.
The following projects are funded by this Phase I grant, which supports the development of small collaborative Institutes over three years.
- Foundations of Model Driven Discovery from Massive Data
Brown UniversityAug 6, 2018 to Aug 10, 2018 - Institute for Foundations of Data Science
University of Wisconsin–MadisonJul 24, 2018 to Jul 28, 2018 - TRIPODS Institute for Optimization and Learning
Northwestern University, Lehigh University, State University of New York at StonybrookAug 13, 2018 to Aug 17, 2018
- Foundations of Model Driven Discovery from Massive Data
Brown UniversityDec 11, 2017 to Dec 13, 2017 - Institute for Foundations of Data Science
University of Wisconsin–MadisonApr 20, 2018 - UA-TRIPODS
University of ArizonaMay 21, 2018 to May 24, 2018 - Topology, Geometry, Data Analysis (TGDA@OSU)
Ohio State UniversityMay 21, 2018 to May 25, 2018 - Transdisciplinary Research Institute for Advancing Data Science (TRIAD)
Georgia Institute of TechnologyJun 7, 2018 to Jun 8, 2018