Using new models and big data to better understand financial risk
Bringing together engineers, data theorists, mathematicians, economists, biologists, and policy experts, IDSS is looking at financial risk through a multidisciplinary lens.
Bringing together engineers, data theorists, mathematicians, economists, biologists, and policy experts, IDSS is looking at financial risk through a multidisciplinary lens.
Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.
Assistant Professor Thomas Heldt mines critical care data to support real-time clinical decision making and improve patient care.
Electrical engineering and computer science assistant professor is working at the intersection of genomics and computational biology.
Cryptographic system would allow users to decide which applications access which aspects of their data.
Event welcomes more than 20 speakers over four sessions on designing places for inventing the future.
The world’s biggest sports analytics conference shows how theorists have changed sports.
Assistant professor of electrical engineering and computer science discusses his work focusing on learning graphical models from data.
With EU vice president, U.S. secretary of commerce discusses EU-U.S. “Privacy Shield” and launches new policy program.
Wearable tracks increased skin conductance that signals stress, helps identify dangerous seizures.
"Polaris" system from MIT's Computer Science and Artificial Intelligence Lab accelerates website load-time by decreasing network trips.
New quantum computer, based on five atoms, factors numbers in a scalable way.
MIT’s David Shoemaker testifies before Congress on the significance of LIGO.