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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Clean Rolls Don’t Require Federal Control
IDSS faculty Charles Stewart III examines how best to address concerns about non-citizens on the voter rolls.
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MIT Student wins 2027 IMS Lawrence D. Brown Ph.D. Student Award
CSAIL and LIDS student Fan Chen, co-advised by IDSS faculty Sasha Rakhlin, received the prestigious award from the Institute of Mathematical Statistics.
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2026 MIT Prize for Open Data
SES student Kaveh Alim and IDSS faculty Navid Azizan and Faez Ahmed among those awarded for efforts in highlighting the value of open data at MIT.
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Why teaching AI about symmetry could make prenatal diagnosis more reliable
A model developed by researchers including IDSS faculty Polina Golland adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
On fast hyperparameter transfer across width and training horizon
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Denny Wu, New York University
Parallel sampling and speciation in diffusion language models
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Sitan Chen, Harvard University
