Using data science to forecast clinical trial outcomes
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
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MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
An updated and expanded version of the “Work Design for Health” employer toolkit—developed by researchers from the Harvard T.H. Chan School of Public Health and the MIT Sloan School of Management—has been launched.
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MIT Sloan Professor Erin L. Kelly, who is Co-Director of the MIT Institute for Work and Employment Research (IWER), found in a recent multiyear study in e-commerce warehouses that establishing Health and Well-Being Committees that allow employees to give input on workplace issues significantly reduc...
A new “Work Design for Health” framework and employer toolkit—developed by researchers from Harvard T.H. Chan School of Public Health and the Institute for Work and Employment Research at the MIT Sloan School of Management—map how to create work environments that foster worker health and well-being.
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.
MIT Sloan has hundreds of seminars every semester bringing in the world’s leading experts on topics from sustainability to finance. Find out more.
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In this article, MIT Sloan Professor Katherine Kellogg and a team of coauthors describe a project they have been working on involving the use of a specialized online jobs platform to bring new job applicants to open positions at skilled nursing facilities in Massachusetts during the COVID-19 pandemi...
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AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
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In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
MIT Sloan Professor Erin L. Kelly, who is Co-Director of the MIT Institute for Work and Employment Research (IWER), has coauthored dozens of scholarly articles related to well-being in the workplace, with a particular focus on examining the effects of flexible scheduling initiatives on various measu...