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Crowdsourcing big-data analysis
... usually requires some human intuition. For instance, a sales database might contain revenues and date ranges, but it might take a ... “I do hope that we can facilitate having thousands of people working on a single solution for predicting where traffic accidents are ...
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The Curse of Variety
... at the Institute for Data, Systems, and Society. She is also a LIDS PI. Her focus is learning-enabled control and optimization, especially ... case, we're examining emerging transportation problems that people have spent decades trying to solve with classical approaches. It seems ...
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A machine-learning approach to finding treatment options for Covid-19
Researchers have developed a system to identify drugs that might be repurposed to fight the coronavirus in ... “Making new drugs takes forever,” says Caroline Uhler, a computational biologist in MIT’s Department of Electrical Engineering and ... shows different patterns of gene expression than in younger people, even in response to the same signal. “Earlier work by the ...
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Caroline Uhler awarded J-WAFS seed grant for research on climate impacts on agriculture
... up to $200,000, overhead free. The winning projects include a silk-based food safety sensor; research into climate vulnerability and ... particularly extreme in South Asia, where over 100 million people in Bangladesh, Nepal, India, Cambodia, Pakistan, Vietnam, and Myanmar ...
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LIDS joins the MIT Stephen A. Schwarzman College of Computing
... LIDS, together with IDSS, officially joined the MIT Stephen A. Schwarzman College of Computing on January 1, 2020. The article below ... in the disciplines; the disciplines are changing the way people do computing.” Under the leadership of Asu Ozdaglar, the deputy ...
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On Estimation with Strategic Sensors
... and self-interested sensors. We model this situation as a non-cooperative game between informed sensors and a receiver, whose ... to ''smart infrastructures'' problems within the Center for People & Infrastructures which he co-founded and co-directs at CSL. He is a ...
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Making better decisions when outcomes are uncertain
... and future consequences are uncertain. They’ve had a huge range of applications — in natural-resource management, manufacturing, ... least represents a big step in the right direction. “People are not going to start using something that is so sample-intensive right ...
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Making Good Policies with Bad Causal Inference: The Role of Prediction and Machine Learning
... insights. Prof. Mullainathan will argue that there are a large class of problems where causal inference is largely unnecessary where, ... Foreign Policy Magazine, and named to the “Smart List: 50 people who will change the world” by Wired Magazine (UK). ...
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Book a Conference Room
... members in building 32 and 45. Each room is equipped with a card reader that should allow any lab member access. If you have any trouble ... address and tap the Search button (this will only work for people with MIT accounts). More information can be found on this help ...
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Nonlinear thinker
... airplane is cruising along and raises the flaps on its wings a degree or two, it will tilt upward. If it raises the flaps twice as much, it ... while the set of nonlinear ones is huge and varied. Most people were exposed to both types in algebra class. A mathematical function ...