News
Daron Acemoglu named Institute Professor
Economist and IDSS faculty member Daron Acemoglu, whose far-ranging research agenda has produced influential studies about government, innovation, labor, and globalization, has been named Institute Professor, MIT’s highest faculty honor.
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Cool wireless
LIDS student Omer Tanovic is working to make wireless communication more energy efficient.
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Welcoming the 2019 Hammer Fellows
Meet the four incoming students in the IDSS Social and Engineering Systems doctoral program -- and the two postdocs -- who have joined the ranks of the Michael Hammer Society of Fellows.
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IDSS hosts inaugural ‘Learning for Dynamics and Control’ conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
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Spotting objects amid clutter
Robots can quickly find objects hidden in 3D data thanks to a new technique developed by researchers from the Laboratory for Information and Decision Systems (LIDS) -- including Aero/Astro and IDSS/LIDS professor Luca Carlone and Heng Yang, a grad student in LIDS and MechE.
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An experiment illuminates the value of public transportation
IDSS affiliate and DUSP professor Jinhua Zhao is co-author on a paper, led by DUSP grad student Jeffrey Rosenblum, showing how fare discounts for low-income people could increase public transit ridership.
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IDSS congratulates 2019 graduates
IDSS and IDSS-affiliated graduates were awarded 25 doctoral degrees, 52 Master of Science degrees, 7 Master of Engineering degrees, and 14 bachelor’s degrees with a Minor in Statistics and Data Science.
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Protecting our energy infrastructure from cyberattack
Researchers including IDSS affiliate and MIT Sloan professor Stuart Madnick are addressing cyber vulnerabilities in energy systems using a methodology that examines the interaction of people, equipment, and policies.
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Tamara Broderick receives Notable Paper Award from AISTATS for ‘A Swiss Army Infinitesimal Jackknife’
The annual international conference on Artificial Intelligence and Statistics recognized the paper for demonstrating how a linear approximation, known as the "infinitesimal jackknife" in statistics literature, can be used to address a variety of challenges in machine learning.
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Saurabh Amin and Sertac Karaman awarded tenure
"Saurabh and Sertac are exceptionally accomplished as both scholars and teachers," said John Tsitsiklis, director of LIDS. "I know that both will continue to make seminal contributions in their fields."
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