Inclusive research for social change
The MIT Student Research Program pairs underrepresented students with opportunities to examine inequity through the IDSS Initiative for Combatting Systemic Racism.
The first results from the world’s biggest basic income experiment
IDSS faculty Tavneet Suri is part of a team researching the best ways to direct cash to low-income households.
How should AI-generated content be labeled?
Content labels are one way to identify content generated with artificial intelligence. A new study co-authored by IDSS faculty David Rand looks at what wording is most effective.
“Relentlessly report what the facts are”: Experts are combatting disinformation
IDSS faculty Adam Berinsky discusses the impact of misinformation on democracy and the upcoming 2024 election. “The larger issue is that there is this climate of distrust,” says Berinsky.
© MIT Institute for Data, Systems, and Society | 77 Massachusetts Avenue | Cambridge, MA 02139-4307 | 617-253-1764 |
Accessibility
