MIT Sloan has hundreds of seminars every semester bringing in the world’s leading experts on topics from sustainability to finance. Find out more.
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.
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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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Invited guests attended a special event at the new MIT Museum location in Kendall Square in early December.
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
Does the U.S. tax system incentivize companies to overinvest in automation—at the expense of jobs?
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In a recent paper, MIT Sloan’s Paul Osterman finds evidence that companies have choices about the wages they pay, and that some companies can be successful through “High Road” employment practices that result in better-quality jobs. But it's not at all clear, he concludes, that such High Road employ...
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But recent research suggests that such wellness programs often have limited effectiveness. To truly build a healthier future of work, employers will need to address how their own management practices contribute to employee ill health—and focus on changing those.
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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.
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A panel of practitioners explores how to solve worker shortages and offers three best practices for success.
