MIT in the media: 2021 in review
MIT community members made headlines around the world for their innovative approaches to addressing problems local and global.
MIT community members made headlines around the world for their innovative approaches to addressing problems local and global.
Senior Stacy Godfreey-Igwe seeks to make marginalized communities more visible in the fight against climate change.
In 14.009, a first-year class taught by Nobel laureates, MIT students discover how economics helps solve major societal problems.
Political scientist Nazli Choucri discusses challenges and hopes for global coordination on climate issues — and the role of political science in the process.
Sihao Huang, William Kuhl, Tingyu Li, Giramnah Peña-Alcántara, Sreya Vangara, and Kelly Wu will pursue graduate studies in global affairs at Tsinghua University in Beijing.
Professor Fotini Christia is part of a team examining the challenges of implementing community policing across a range of countries.
A new survey underscores how material needs lead to movement within the Americas — at a high cost to those trying to relocate.
Paper-based blood test developed by SMART researchers can rapidly determine the presence of SARS-CoV-2 neutralizing antibodies.
The MIT senior will pursue postgraduate studies in intelligent systems in Ireland.
A delegation from MIT traveled to Glasgow for COP26, where international negotiators sought to keep global climate goals on track.
By incorporating the scattering of RF waves into fusion simulations, MIT physicists improve heating and current drive predictions for fusion plasmas.
Announced at the UN Climate Change Conference, the initiative aims to make food systems more resilient and sustainable by better connecting research to practice.
MIT students connect with Israelis and Palestinians to learn how to leverage science, technology, and entrepreneurship.
MISTI Career Conversations virtual lunch series sees MIT students explore environmental, social, and governance initiatives in a global context across three key sectors.
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.