What do we know about the economics of AI?
Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.
Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.
International research co-led by Professor Fotini Christia finds an approach lauded in the US works differently in other regions.
Researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.
Along with James Robinson, the professors are honored for work on the relationship between economic growth and political institutions.
By enabling users to chat with an older version of themselves, Future You is aimed at reducing anxiety and guiding young people to make better choices.
A new study shows that belonging to age-based groups, common in some global regions, influences finances and health.
Letting people work with a “navigator” dramatically increases how often they move to higher-opportunity neighborhoods.
When interventions or policies perform well in studies, they may disappoint later on. An MIT economist’s tools can help planners recognize this trap.
Collaborative brings together charter school policy, practice, and research communities to help make research on charters more actionable, rigorous, and policy-relevant.
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
The pathbreaking thinker helped reshape discussions of science, gender, and objectivity, as well as biological determinism, in her lauded career.
Associate Professor Dean Eckles studies how our social networks affect our behavior and shape our lives.
Labs in Africa, the Middle East and North Africa, and South Asia will be led by J-PAL with support from Community Jameel.
An experiment in Egypt suggests ways to spread information for women facing domestic violence.
Using insights into how people intuit others’ emotions, researchers have designed a model that approximates this aspect of human social intelligence.