AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact
Uncover data’s true value and make data-driven business decisions with data science techniques and AI tools. Learn from MIT faculty with mentorship from industry practitioners. READ MORE
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More: IDSS brings together research and expertise
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.
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New method enables AI for safety-critical situations
MIT researchers including IDSS faculty Navid Azizan and SES student Kaveh Alim have developed a new technique that helps generative artificial intelligence models find specific solutions to high-stakes problems.
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Anette ‘Peko’ Hosoi on The Curiosity Desk
IDSS faculty and co-founder of the MIT Sports Lab discusses athletic intelligence and football IQ on recent podcast.
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Faculty receive promotions in the School of Architecture and Planning for 2026
IDSS faculty Sarah Williams and TPP alum Danielle Wood ’04, SM ’08, PhD ’12 among those recognized for their significant contributions to the school.
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With more fuel-efficient cars and EVs on the road, we need to rethink how we tax auto travel
IDSS faculty Christopher Knittel is co-author of an opinion piece about adopting a vehicle miles traveled (VMT) tax for electric vehicles, instead of the flat annual fee of $130 recently proposed by Congress.
