Using machine learning to predict high-impact research
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
Fund supported by the Office of the Chancellor is advancing mental health, well-being, and racial justice projects at MIT.
Research is part of a $25 million effort to generate evidence on the real-world effectiveness of policies and programs at the intersection of poverty and climate change.
MIT junior faculty explore new research directions and achieve powerful career advancement enabled by J-WAFS’ mission-driven grant program focused on water and food solutions.
State and Local Innovation Initiative seeks government partners to rigorously evaluate policies and programs aiming to address critical social issues.
Generous gift from Michael Gould and Sara Moss provides endowed support for MIT’s Summer Research Program in Biology.
Two MIT faculty members earn funding from the G. Harold and Leila Y. Mathers Foundation.
MISTI Global Seed Funds are open for proposals after Covid pivot.
MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.
NCSOFT-sponsored grants to advance hardware and software for immersive experiences.
MIT and Imperial College London to tackle dual challenges of climate and pollution through new seed fund focus.
MIT spinout continues its investment in early-stage startups working to solve key challenges in climate change, human health, and advanced systems.
MISTI launches new seed fund in Jordan as part of MIT-Arab World program.
Project supported by the Simons Foundation aims to reinvigorate environmental science by leaning on Parsons Laboratory's past as a leader in the space.
National Science Foundation awards proposal for space weather modeling.