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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Q&A: Hey AI, who should I vote for this year?
A new project led by IDSS faculty Adam Berinsky and Charles Stewart III, and Assistant Professor Chara Podimata, tracks how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
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Why AI gets decisions wrong
IDSS faculty Devavrat Shah joins the Trust the Process Podcast to examine how AI uses probability to calculate possible futures, the role business context plays, and how to combine probabilities with deterministic rules to decide what happens next.
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3 Questions: Why infrastructure is entering a defining era
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
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Data Nation – Last Call?
Is alcohol consumption on the decline? Are people socializing at the bar, or more likely to hang out at the gym? In the new episode of MIT’s Data Nation, hosts Munther Dahleh and Liberty Vittert Capito explore the evolving relationship between alcohol and society.
Parallel sampling and speciation in diffusion language models
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Sitan Chen, Harvard University
