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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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.
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What personality pairings most improve human–AI collaboration?
New research from the MIT Sloan School of Management and IDSS faculty Sinan Aral identifies the most effective ways businesses can use and benefit from AI personalization.
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Generating scenarios for extreme events, without extreme data
A new algorithm from researchers including IDSS faculty Themis Sapsis learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
