Special Programs

FALL 2023IDEAL Special Program on Trustworthy and Reliable Data ScienceMassive datasets are susceptible to various kinds of noise and corruptions. Many data analysis primitives are brittle to even small corruptions of the data sets, while modern sophisticated machine...

Spring 2023IDEAL Special Program on Machine Learning and LogicMachine learning and mathematical logic have a rich and durable history, beginning with the early days of artificial intelligence. The intersection of these fields has seen a revitalization, with recent...

Fall 2022 IDEAL Special Program on Data EconomicsAs data science transforms science and society, it is important to develop the economics of data. Collecting data is costly, possessing data gives market power, sharing data has risks and benefits, conclusions from data...

Spring 2022 High-Dimensional Data AnalysisToday, machine learning and data science deal with tremendous amounts of high-dimensional data. Processing these data requires extensive computational resources (these often include large CPU and GPU clusters). It is expected...

Fall 2021Robustness in High-dimensional Statistics and Machine LearningToday’s data pose unprecedented challenges to statisticians and data analysts. It may be incomplete, corrupted, or exposed to some unknown source of contamination. We need new methods and theories...

Spring 2021Data Science and Law March 30 – June 6, 2021Synopsis Law, like many disciplines, finds itself grappling with the theoretical foundations of computation and data science. Algorithms, data analytics, and artificial intelligence are being used in...

Fall 2020Theory of Deep Learning September 15 – December 12, 2020Synopsis Deep learning plays a central role in the recent revolution of artificial intelligence and data science. In a wide range of applications, such as computer vision, natural language processing,...

Spring 2020Inference and Data Science on Networks March 30 – June 6, 2020   Over the past decade or so, many diverse communities have become increasingly interested in networks as a way of understanding the role of interconnections between various entities. For...