Learning to evaluate social programs
Flagship J-PAL course teaches policy leaders how, why, and when to evaluate social programs ranging from antiviolence interventions to housing mobility initiatives.
Flagship J-PAL course teaches policy leaders how, why, and when to evaluate social programs ranging from antiviolence interventions to housing mobility initiatives.
With data-informed models, Jessika Trancik seeks ways to coax progress toward sustainable energy systems.
Doctoral student Ryan Hill studies factors that influence researchers’ professional paths, while lending his voice to support student families.
Gift to IDSS honors Michael Hammer, influential business leader, engineer, educator, MIT faculty member, and MIT alumnus.
Computer scientists find that physicians’ “gut feelings” influence how many tests they order for patients.
Results may help identify ancient climates on Earth or other planets.
Simons Foundation-backed CBIOMES brings together researchers in oceanography, statistics, data science, ecology, biogeochemistry, and remote sensing.
Laboratory for Nuclear Science project selected to explore machine learning for lattice quantum chromodynamics.
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
Alberto Abadie refines the tools of economics — and gets some interesting results along the way.
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.
Program offers path to an accelerated master’s degree at seven universities.
Scientists leverage one step, unbiased method to characterize the binding preferences of more than 70 human RNA-binding proteins.
Interdisciplinary undergraduate program combines urban planning and computer science.
Algorithm provides networks with the most current information available while avoiding data congestion.