The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) is a multi-discipline (computer science, statistics, economics, electrical engineering, and operations research) and multi-institution (Northwestern University, Toyota Technological Institute at Chicago, and University of Chicago) collaborative institute that focuses on key aspects of the theoretical foundations of data science. The institute will support the study of foundational problems related to machine learning, high-dimensional data analysis and optimization in both strategic and non-strategic environments. The primary activity of the institute will be thematically focused quarters which will coordinate graduate course work with workshops and external visitors. The institute will facilitate collaboration between Chicago-area institutions through a number of initiatives, and across multiple disciplines. Several components of the research agenda have direct applications areas, and institute will involve practitioners in development economics, online markets, public policy, as well as data scientists.

火星加速器卡密-旋风加速度器

The primary activity of the institute are thematically focused quarters which will coordinate graduate course work, visiting predoctoral fellows, workshops, and external visitors. Visit the special quarters page to see all of our upcoming special quarters.

火星加速器卡密-旋风加速度器

火星加速器卡密-旋风加速度器

IDEAL is a HDR TRIPODS institute supported by the National Science Foundation under award CCF 1934931.