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Global Reach
MIT Sloan has a rich legacy of global engagement, and today our footprint spans six continents. These multicultural collaborations shape perspectives and influence policy worldwide.
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MIT Sloan in the World
MIT Sloan has a rich legacy of worldwide engagement. In this spirit, Global Programs' initiatives foster multicultural collaborations, shape perspectives, and influence policy on six continents.
Institute for Work and Employment Research
ExploringThe Drivers of Income Inequality
MIT Sloan Professor Nathan Wilmers shares insights into factors that contribute to wage inequality.
Ideas Made to Matter
Behavioral Science
A checklist for COVID-19 public health messaging
Useful coronavirus public health messages are clear and concise, emphasize the public good, and create the impression that others expect compliance.
May 8, 2020
Ideas Made to Matter
Career
3 professional life hacks from a billionaire introvert
LinkedIn co-founder Reid Hoffman on limited serendipity, betting on a reference, and embracing your skillset.
Oct 29, 2018
Ideas Made to Matter
Innovation
Operation Space aims to break altitude record with rocket
The team hopes to be the first student group across the Kármán line into outer space.
Jun 27, 2018
Ideas Made to Matter
Entrepreneurship
This pad-free wireless charger can power multiple devices at once
It senses devices with low battery and powers them. No cords necessary.
Jul 30, 2018
Ideas Made to Matter
Social Media
How can social platforms protect kids from hateful speech?
Researchers analyzed 110 million YouTube comments. Their recommendation: Use algorithms to hide toxic speech, then follow up with human review.
Feb 28, 2022
Ideas Made to Matter
Artificial Intelligence
AI Expert Spotlight: Swati Gupta
Swati Gupta explores machine learning and optimization to improve the efficiency, quality, and fairness of the decisions models make.
Oct 31, 2024
Ideas Made to Matter
Artificial Intelligence
AI Expert Spotlight: Vivek Farias
Vivek Farias is using massive parallelism—many processors working simultaneously—to speed up different types of computations. He is also studying the intersection of large language models and human behavior to simulate consumer behavior and determine the impact of bias on LLMs.
Oct 31, 2024