Karan Bhuwalka

Exactly what I was looking for
TPP | August 20, 2021

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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Cars attemping to drive down flooded streets

Climate change will disrupt supply chains much more than Covid — here’s how businesses can prepare
CNBC | August 19, 2021

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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a container ship

Smarter regulation of global shipping emissions could improve air quality and health outcomes
MIT News | August 17, 2021

“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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an overhead view of a crowd walking across a crosswalk

Mobility patterns influence how we experience income segregation in our cities
SSRC | August 12, 2021

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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graphic art of a drone mapping various pathways

System trains drones to fly around obstacles at high speeds
MIT News | August 10, 2021

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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Distribution of predicted improvement rates (in percent per year) for all 1,757 technology domains. Domains to the right of dashed red line are improving faster than 36.5 percent per year, the predicted rate for integrated chips according to Moore's law. Credits:Image courtesy of the researchers.

A comprehensive study of technological change
MIT News | August 2, 2021

New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.

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Suvrit Sra and Stefanie Jegelka

LIDS faculty participate in newly funded NSF program on optimization-focused AI research
LIDS | July 30, 2021

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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A data visualization from an MIT GOV/LAB and Civic Data Design Lab presentation to Sierra Leone’s government shows how frequently different routes were traveled in and around the capital. Dot sizes reflect the popularity of destinations and lines are colored light blue to pink to show the popularity of each route. Image courtesy of the MIT GOV/LAB and CDDL

Study finds lockdowns effective at reducing travel in Sierra Leone
MIT News | July 27, 2021

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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AI stock image

The AI we should fear is already here
Washington Post | July 21, 2021

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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Munther Dahleh

Data science in domains
Harvard Data Science Review | July 20, 2021

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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