MIT Election Data and Science Lab launches
Founded by political scientist Charles Stewart III, the Election Lab focuses on non-partisan research, data, and analysis to improve elections.
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What can data science tell us about literature?
Research by IDSS postdoctoral associate Santiago Segarra and team used a network-based tool to analyze Shakespearean plays.
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Technological progress alone won’t stem resource use
Research by Chris Magee and co-author finds no evidence of an overall reduction in the world’s consumption of materials.
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Rethinking how we get around
Paul Kishimoto, a PhD student in IDSS, probes the future of transportation in China.
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Trancik Lab: From Data to Action
The Trancik Lab uses data models to answer questions about energy technologies from photovoltaics to electric cars.
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Sertac Karaman receives IEEE Robotics and Automation Society Early Career Award
Karaman honored "for contributions to motion planning and control algorithms for robots and autonomous vehicles."
READ MOREIDSS Job Opportunities
Learn more about IDSS faculty and postdoctoral opportunities at: https://idss-stage.mit.edu/about-us/opportunities/.
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Driverless platoons
Paper co-authored by Sertac Karaman indicates autonomous trucks that drive in packs could save time and fuel.
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Data diversity
Researchers, including Stefanie Jegelka and Suvrit Sra, recently presented a new algorithm that makes the selection of diverse subsets much more practical.
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MIT Energy Initiative report provides guidance for evolving electric power sector
Experts call for regulatory, policy, and market transformation to realize potential of distributed energy technologies. (Ignacio Pérez-Arriaga is one of the study's PIs, and a number of IDSS students are on the research team.)
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