Exactly what I was looking for
Karan Bhuwalka, recent TPP alumnus, reflects on TPP’s interdisciplinary approach and bringing data science, manufacturing, and social issues together in his research on the materials that make up electric vehicles.
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Climate change will disrupt supply chains much more than Covid — here’s how businesses can prepare
John Sterman, MIT Sloan Professor and IDSS affiliate, argues that the best way for a company to protect itself and its supply chain is to be proactive in reducing its own carbon footprint.
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Smarter regulation of global shipping emissions could improve air quality and health outcomes
“Areas with high proportions of mortalities contributed by domestic shipping could effectively use domestic regulations to implement controls,” says study co-author and IDSS core faculty Noelle Selin.
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Mobility patterns influence how we experience income segregation in our cities
Most of our understanding of income segregation comes from where people live, not where people go, preventing us from identifying how people experience income segregation in their daily lives.
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System trains drones to fly around obstacles at high speeds
New algorithm from researchers including IDSS core faculty Sertac Karaman could enable fast, nimble drones for time-critical operations such as search and rescue.
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A comprehensive study of technological change
New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.
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LIDS faculty participate in newly funded NSF program on optimization-focused AI research
A research team including Suvrit Sra and Stefanie Jegelka is poised to make advances with real-world impact in chip design, robotics and communication networks.
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Study finds lockdowns effective at reducing travel in Sierra Leone
MIT researchers including IDSS affiliate Sarah Williams use cell tower data to show that movement during Covid-19-related lockdowns declined the most in wealthier areas with more people.
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The AI we should fear is already here
We should be worried less about what AI might become and more about what it is now, argues IDSS affiliate and Institute Professor Daron Acemoglu.
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Data science in domains
From predicting financial risk to building smart cities, IDSS director Munther Dahleh contends that data science is most effective when it is integrated with domain knowledge, especially an understanding of how relevant physical, social, and institutional systems interact.
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