The mission of Illinois Institute for Data Science and Dynamical Systems (iDS^2) is to develop the theoretical and the algorithmic foundations of the synthesis of data science and dynamical systems. The institute activities will center on four interrelated themes: Data Modeling and Dynamical Systems; Sampling, Inference, and Dynamical Systems; Algorithm Design and Dynamical Systems; Decision-Making and Dynamical Systems.
DATA-INSPIRE is the Institute in the nation’s TRIPODS network engaged in fundamental transdisciplinary data science research, education & workforce development related to the operation of intelligent machines and their interaction with people.
The focus of FINPenn, the Center for the Foundations of Information Processing at the University of Pennsylvania, is to establish fundamental theory to enable the study of data beyond time and images. Humans’ rich intuitive understanding of space and time may not be applicable to the processing of complex signals, necessitating the discovery and development of foundational principles to guide the design of generic artificial intelligence algorithms. FINPenn will support a class of scholar trainees along with a class of visiting postdocs and students to advance this agenda.
Motivated by today’s greatest foundational data science challenges arising in medicine, healthcare, and beyond, the Greater Data Science Cooperative’s mission is to develop a mathematical foundation that integrates trans-disciplinary perspectives and enables applications that can ultimately benefit everyone worldwide.
The Tufts T-TRIPODS Institute connects an interdisciplinary team of mathematicians, computer scientists, statisticians and electrical engineers advancing the foundations of data science with domain experts in four broad applications areas. The four areas are biological and biomedical data; education and cognitive science; smart cities, development and design; and computational arts and humanities (including language and music).
