Extensive media coverage of electric vehicle research
August 17, 2016

New electric vehicle research from Jessika Trancik and co-authors covered by The Guardian, The Washington Post, Bloomberg, and more.

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Can today’s electric vehicles make a dent in climate change?
MIT News | August 15, 2016

Electric vehicles can meet drivers’ needs enough to replace 90 percent of vehicles now on the road.

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Is there a STEM crisis or a STEM surplus?
The Wall Street Journal - CIO Journal | August 12, 2016

Wall Street Journal piece cites paper from Prof. Richard Larson and TPP grad Yi Xue.

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Are Your Friends Just Not That Into You?
WBUR - On Point | August 11, 2016

Alex Pentland talks about study, "Are You Your Friends' Friend?"

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Reducing emissions, improving technology: A mutually reinforcing cycle
MIT Energy Initiative / MIT News | August 8, 2016

Study on the connection between technology development and emissions-reduction policies informs Paris climate negotiations.

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New online course addresses data science challenges
MIT News | August 4, 2016

“Data Science: Data to Insights,” presented by IDSS and MIT Professional Education, begins October 4.

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MIT to test out electric vehicle shuttles
The Boston Globe | July 29, 2016

MIT Aerospace Controls Lab and Ford are rolling out three on-demand electric vehicle shuttles at MIT in the fall. Jonathan How is director of ACL.

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Robert Berwick Selected to Give 2016 STOQ Lecture at the Vatican
MIT LIDS | July 29, 2016

Prof. Berwick spoke about his recent book, Why Only Us, co-authored with linguistics professor Noam Chomsky and published by the MIT Press.

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Eytan Modiano and collaborators win Best Paper Award at MobiHoc
MIT LIDS | July 25, 2016

Modiano, along with student Abhishek Sinha and collaborator Prof. Leandros Tassiulas (Yale), received the best paper award at ACM MobiHoc 2016 for their paper.

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IDSS and MIT Professional Education address data science challenges in new online course
PRWeb | July 20, 2016

This new online course is designed for those looking to enhance their ability to understand and analyze large data sets.

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