Crowdsourcing to better forecast drug approvals
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Simple interventions to reduce the spread of misinformation can shift peoples’ attention toward accuracy.
Research topics include analyzing firm behavior, data-driven sequential decision-making, inequality and worker power, and renewable energy integration.
Working with Building Impact, a local not-for-profit, EMBA students will address a variety of operational initiatives at Boston area nonprofits to help them better serve the community.
New books from MIT Sloan faculty and experts on a future-ready workforce, game theory, AI, and more.
From blockchain to collective bargaining, here are the books from MIT Sloan faculty that made their debut in 2018.
MIT Policy Hackathon, organized and run by students from MIT’s Institute for Data, Systems, and Society and MIT’s Technology and Policy Program.
Managing in a pandemic requires knowledge and foresight. These articles examine what’s next for the economy, remote work, and an innovative vaccine.
At a time when wage inequality and workplace fairness dominate the national conversation, a new study by Nathan Wilmers sheds light on the factors that drive pay disparities among workers.
And climbed into the top three spots for graduate business schools.