IDSS Professor Philippe Rigollet receives grant as part of global effort to map every cell in the human body on behalf of the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation
IDSS core faculty Philippe Rigollet was one of 83 principal investigators from around the world whose project was selected for funding.
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Pablo Parrilo named SIAM Fellow
EECS Professor Pablo Parrilo has been named to the Society of Industrial and Applied Mathematics (SIAM) Fellows Class of 2018.
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Professor Joseph Sussman, expert in complex engineering systems and revered mentor, dies at 79
Leader in the Department of Civil and Environmental Engineering and Institute for Data, Systems, and Society was the inaugural JR East Professor.
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Measuring the economy with location data
Startup’s platform crunches anonymized smartphone GPS data to understand how people shop, work, and live.
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Models of learning from data: a Q&A with IDSS Associate Professor Alexander “Sasha” Rakhlin
Alexander "Sasha" Rakhlin is an Associate Professor in Brain and Cognitive Sciences and IDSS. His research is in machine learning, with an emphasis on statistics and computation.
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Noelle Selin awarded Hans Fischer Senior Fellowship
Noelle Selin, Associate Professor, IDSS and EAPS; and Associate Director, Technology and Policy Program, has been awarded a Hans Fischer Senior Fellowship at the Technical University of Munich Institute for Advanced Study (TUM-IACS).
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Second annual Women in Data Science conference showcases research, explores challenges
Co-hosted by MIT's Institute for Data, Systems, and Society, WiDS Cambridge brings together students, academic leaders, and industry partners.
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Tamara Broderick receives 2018 NSF CAREER Award
Tamara Broderick, ITT Career Development Assistant Professor in Electrical Engineering and Computer Science and IDSS Affiliate Faculty, has received an NSF CAREER Award for her research "Robust, scalable, reliable machine learning."
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A machine-learning approach to inventory-constrained dynamic pricing
New study shows that Thompson sampling can be naturally combined with a classical linear program formulation to include inventory constraints.
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Study: On Twitter, false news travels faster than true stories
Research project finds humans, not bots, are primarily responsible for spread of misleading information.
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