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.
Using data from social networks to understand and improve systems
Researchers in IDSS are learning how ideas evolve over networks, quantifying the influence of individuals in networks, and making better predictions.
Call for MIT Portugal PhD and executive master's is now open
MIT Portugal PhD and executive master's programs are soliciting applications for 2016-17.
MIT, Boeing, NASA, and edX to launch online architecture and systems engineering program
Four-course program will train professionals in latest practices on models and methods to manage complex systems
Nancy Leveson receives space safety award
Professor of aeronautics and astronautics honored for contributions toward the safety of space systems.
MIT Climate CoLab, in collaboration with Nike, launches new materials competition
Materials Matter competition, inspired by MIT research, seeks innovations that could help transform the way we view, make, and use materials.
Professor Richard de Neufville honored at the White House
Engineering professor and systems designer honored as one of the first class of White House Fellows.
Expecting the unexpected
In new book, MIT professor explains how companies can lessen the shocks of a volatile world.
To save on weight, a detour to the moon is the best route to Mars
For a piloted mission to Mars, fueling up on the moon could streamline cargo by 68 percent.
On the importance of academic international engagements: An interview with Fred Moavenzadeh
MIT professor and former president of the Masdar Institute reflects on a career spent fostering international research and teaching collaborations.
3 Questions: Amanda Giang on controlling mercury pollution in India and China
MIT graduate student studies how a new U.N. treaty could affect mercury emissions from coal power plants in Asia.
How to predict responses to disease
Computer model could help public health officials anticipate overreactions to disease outbreaks.