Causality in digital medicine : Q&A with Caroline Uhler and colleagues
IDSS core faculty Caroline Uhler and colleagues talked to Nature Communications about their research interests in causality inference and how this can provide a robust framework for digital medicine studies.
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Taking on the stormy seas
IDSS affiliate Themistoklis Sapsis tackles engineering problems associated with the unpredictable ocean environment and its effects on ships and other structures.
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MIT appoints members of new faculty committee to drive climate action plan
Professors Noelle Selin and Anne White will co-chair the Climate Nucleus, charged with managing and implementing MIT’s new plan.
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Making self-driving cars safer through keener robot perception
LIDS graduate student Heng “Hank” Yang and collaborators, including IDSS core faculty Luca Carlone, have developed the first set of “certifiable perception” algorithms, which could help protect the next generation of self-driving vehicles.
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Study: As a population gets older, automation accelerates
“Demographic change — aging — is one of the most important factors leading to the adoption of robotics and other automation technologies,” says Daron Acemoglu, IDSS core faculty and co-author of a new paper detailing the results of the study.
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MIT welcomes nine MLK Visiting Professors and Scholars for 2021-22
S. Craig Watkins is an internationally recognized expert in media and a professor at the University of Texas at Austin. He will join IDSS to assist in researching the role of big data in enabling deep structural changes with regard to systemic racism.
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Study: Crowds can wise up to fake news
An experiment led by IDSS affiliate David Rand shows that groups of laypeople reliably rate stories as effectively as fact-checkers do.
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LIDS Student Yuzhou Gu Wins Best Student Paper Award at COLT 2021
Winning paper "Stochastic block model entropy and broadcasting on trees with survey” co-authors include LIDS professor and IDSS core faculty Yury Polyanskiy.
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School testing for Covid-19
The WhenToTest K-12 Playbook, developed based in part on IDSS research about using testing to prevent COVID-19 transmission, offers guidance for schools going back to in-person learning. The playbook is now included in school testing resources by the CDC.
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3 Questions: Peko Hosoi on the data-driven reasoning behind MIT’s Covid-19 policies
“We have not played all our cards yet,” says the associate dean of engineering and co-founder of the Isolat modeling group.
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