A game changer takes on cricket’s statistical problem
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Reducing false positives in credit card fraud detection
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Machine-learning system tackles speech and object recognition, all at once
Model learns to pick out objects within an image, using spoken descriptions.
Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment
A key part of the MIT Quest for Intelligence, J-Clinic builds on MIT expertise across multiple scientific disciplines.
Model can more naturally detect depression in conversations
Neural network learns speech patterns that predict depression in clinical interviews.
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.
Shaping technology’s future
With data-informed models, Jessika Trancik seeks ways to coax progress toward sustainable energy systems.
Risk, failure, and living your life: The economics of being an early-career scientist
Doctoral student Ryan Hill studies factors that influence researchers’ professional paths, while lending his voice to support student families.
Hammer family gift to support doctoral fellowships in the MIT Institute for Data, Systems, and Society
Gift to IDSS honors Michael Hammer, influential business leader, engineer, educator, MIT faculty member, and MIT alumnus.
Doctors rely on more than just data for medical decision making
Computer scientists find that physicians’ “gut feelings” influence how many tests they order for patients.
Study finds climate determines shapes of river basins
Results may help identify ancient climates on Earth or other planets.
Collaboration to expand the study of microbial oceanography
Simons Foundation-backed CBIOMES brings together researchers in oceanography, statistics, data science, ecology, biogeochemistry, and remote sensing.
Project to elucidate the structure of atomic nuclei at the femtoscale
Laboratory for Nuclear Science project selected to explore machine learning for lattice quantum chromodynamics.
Automating molecule design to speed up drug development
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
Method man
Alberto Abadie refines the tools of economics — and gets some interesting results along the way.