IDSS faculty Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
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Institute for Data, Systems, and Society (IDSS) is committed to addressing complex societal challenges by advancing education and research at the intersection of statistics, data science, information and decision systems, and social sciences.
IDSS faculty John Sterman has published a set of criteria for evaluating proposed carbon offset plans to make sure they would provide the benefits they claim.
By breaking an intractable problem into smaller chunks, a deep-learning technique developed by researchers including IDSS faculty Cathy Wu identifies the optimal areas for thinning out traffic in a warehouse.
Led by IDSS researcher Kalyan Veeramachaneni, principal investigator at LIDS' Data to AI Group, the project will focus on creating AI-driven generative models for customer load data.