Making a measurable economic impact
Saeed Miganeh’s work at MIT is helping him answer important questions about designing effective programs for poverty mitigation and economic growth in African countries.
Saeed Miganeh’s work at MIT is helping him answer important questions about designing effective programs for poverty mitigation and economic growth in African countries.
MIT students who participated in the pilot program developed tools to rapidly screen for novel biosynthetic capabilities.
The innovation, which employs beeswax to maintain consistent heating, is the result of three years of co-design with Cameroonian poultry farmers.
Through MISTI’s Imperial College London Exchange, students experience AeroAstro, MIT, and the beauty of New England.
When instructor Amanda Gruhl Mayer ’99, PhD ’08 discovered that deaf students have limited access to STEM, she dedicated the next four years of her career to addressing this issue.
MISTI’s Global Classrooms helps students address global issues within their local context.
“Our hope is that our students grow and mature as scholars and help rebuild the intellectual potential of Ukraine after the devastating war.”
Bernardo Picão, a graduate student in physics, has turned to MIT Open Learning’s resources throughout his educational journey.
The IDEAS Social Innovation Challenge helps students hone their entrepreneurship skills to create viable ventures for public good.
With NASA planning permanent bases in space and on the moon, MIT students develop prototypes for habitats far from planet Earth.
The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.
The MITx MicroMasters in Data, Economics, and Design of Policy program educates learners around the world using its data-driven approach to poverty alleviation.
A class this semester challenged students to evaluate technologies to help MIT decarbonize — with implications for organizations across the globe.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.