Philippe Rigollet named IMS Fellow
Rigollet received the award for outstanding contributions to the analysis of statistical versus computational trade-offs, to the theory of aggregation, and to statistical optimal transport.
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MIT unveils a new action plan to tackle the climate crisis
“The proposed new Sustainability Policy Hub, coordinated by TPP, will help MIT students and researchers engage with decision makers on topics that directly affect people and their well-being today and in the future,” says Noelle Selin, TPP director.
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New system cleans messy data tables automatically
MIT researchers, including SDSC affiliate David Sontag, have created a new program that, with just 50 lines of code, spots and fixes likely errors.
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Sam Brinton saves the world
A champion for LGBTQ rights, Brinton got dual masters in nuclear engineering and TPP so he could “save the world from nuclear waste.”
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2021 Women in Data Science conference addresses healthcare and bias
One of many Women in Data Science conferences around the world, WiDS Cambridge explored machine learning applications in healthcare and equity in models and algorithms.
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Collaborators in climate action
Symposium highlights ambitious goals of MIT–industry research targeting technologies to reduce greenhouse gas emissions, including work from LIDS principal research scientist Kalyan Veeramachaneni.
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How to replace everything in the industrialized world
Jessika Trancik, core faculty in IDSS, speaks about the many aspects involved with transforming our world in response to climate change and shifting to clean energy technologies.
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Technology innovation gives government leverage to drive down emissions fast
IDSS core faculty Jessika Trancik's research on innovation shows that government policies can kick off fast progress in moving toward a carbon-free future.
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Job connectivity improves resiliency in US cities, study finds
A new study from researchers including IDSS core faculty Alex "Sandy" Pentland offers insight for city planning and workforce development.
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One-stop machine learning platform turns health care data into insights
With the Cardea software system, hospitals may eventually be able to solve "hundreds of different types of machine learning problems," says Kalyan Veeramanchaneni, a principal research scientist with LIDS.
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