Testing spooky action at a distance
A quantum computing research collaboration connects MIT with the University of Copenhagen.
A quantum computing research collaboration connects MIT with the University of Copenhagen.
Shared commitment to data-driven approach will help identify new policy solutions to reduce poverty and increase economic mobility in the US.
Four faculty members and four others with MIT ties are recognized for pushing the boundaries of science and for creating highly inclusive and collaborative research environments.
Project led by MIT economist Rob Townsend aims to help low- and middle-income countries assess and utilize new technologies to improve central banks’ functions.
The IDEAS Social Innovation Challenge helps students hone their entrepreneurship skills to create viable ventures for public good.
MIT spinout SiTration looks to disrupt industries with a revolutionary process for recovering and extracting critical materials.
Physics professor will use the award to develop a new kind of microscopy.
During the MIT Science Policy Initiative’s Congressional Visit Days, PhD students and postdocs met with legislators to share expertise and advocate for science agency funding.
With support from The Marcus Foundation, an MIT neuroscientist and a Harvard Medical School immunologist will study the “fever effect” in an effort to devise therapies that mimic its beneficial effects.
The MIT-led projects will investigate novel high-performance designs, materials, processes, and assessment methods for an environmentally sustainable microchip industry.
The grants fund studies of clean hydrogen production, fetal health-sensing fabric, basalt architecture, and shark-based ocean monitoring.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
Since 2020, K-CAI has innovated and tested climate policies in more than 35 countries and supported scale-ups that have reached over 15 million people.
Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.
The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.