Experts urge “full speed ahead” on climate action
An MIT climate change symposium panel chaired by TPP director and IDSS/EAPS professor Noelle Selin described the state of knowledge in climate science and stressed the urgent need for action.
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System helps smart devices find their position
A system designed by LIDS professor Moe Win and colleagues enables interconnected smart devices to cooperatively pinpoint their positions in noisy environments where GPS usually fails.
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Alumni in academia: energy and climate
We’ve profiled four former TPP students -- three of whom are also IDSS PhD alumni -- whose work has involved the critical societal challenges of energy and climate change. All four are beginning new chapters in their careers as faculty members at universities across the country.
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Reaching climate solutions through negotiation
IDSS affiliate and Sloan professor John Sterman led “SimPlanet,” an event where students tried a new computer simulation to reveal climate outcomes of different policy decisions.
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How “information gerrymandering” influences voters
“The structure of information networks can really fundamentally influence the outcomes of elections,” says David Rand, IDSS affiliate, associate professor at MIT Sloan, and co-author of the paper detailing the study.
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A four-step plan for fighting social media manipulation in elections
MIT Sloan professors and IDSS affiliates Sinan Aral and Dean Eckles propose a four-step process for researchers to measure and analyze social media manipulation -- and to turn that data into a defense against future manipulation.
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Cathy Wu named Gilbert W. Winslow Career Development Assistant Professor
Wu, who officially joined IDSS and LIDS faculty this summer, was given the prestigious appointment by the Department of Civil and Environmental Engineering.
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The anthropologist of artificial intelligence
Media Lab professor and IDSS affiliate Iyad Rahwan is calling for a new field of science to study machine behavior.
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Autonomous vehicles: the answer to growing traffic woes
Introducing Flow, an open-source, deep reinforcement learning framework for traffic modeling developed by a team that includes IDSS and LIDS professor Cathy Wu.
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Dylan Foster receives Best Paper and Best Student Paper awards at COLT 2019
Foster is a postdoc with the MIT Institute for Foundations of Data Science (MIFODS), as well as IDSS and SDSC. He received the best paper award for "Statistical Learning with a Nuisance Component."
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