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Special Programs
The primary activities of the institute are thematically focused programs that coordinate graduate course work, visiting predoctoral fellows, workshops, and external visitors.
current special programs
Fall 2024 IDEAL Special Program on Interpretability, Privacy, and Fairness
Fall 2024Fall 2024 IDEAL Special Program on Interpretability, Privacy, and FairnessWhen working with data we typically want more than an accurate analysis. We also want to understand why a model makes the recommendations it does, ensure it respects the privacy of...
past special programs
Winter/Spring Special Program on Networks and Inference
2024 Winter/SpringWinter/Spring Special Program on Networks and InferenceReal-world data, from social networks to protein-protein interactions to technological networks, often exhibit complex dependencies that can be modeled and represented through networks....
Fall 2023 Special Program on Trustworthy and Reliable Data Science
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 2023 Special Program on Machine Learning and Logic
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 Special Program on Data Economics
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 Special Program on High-Dimensional Data Analysis
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 2021 Special Program on Robustness in High-dimensional Statistics and Machine Learning
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 2021 Special Program on Data Science and Law
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 2020 Special Program on Theory of Deep Learning
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 2020 Special Program on Inference and Data Science on Networks
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...
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Our Sponsors
The Phase II operations of the IDEAL is supported by the National Science Foundation through the TRIPODS HDR program (under the awards EECS 2216970, 2217023, 2216926, 2216912, 2216899). The IDEAL Phase II institute builds on the activities of two NSF TRIPODS Phase 1 institutes: IDEAL Phase 1 (supported by the NSF award CCF 1934931) and UIC TRIPODS Institute (supported by the NSF award CCF 1934915).