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.
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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.
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The $200,000 prize, the first ever awarded by MIT in the area of financial policy, will be given biennially starting in the spring of 2020.
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A new study by MIT Sloan School of Management Prof. Roberto Rigobon and IESE Business School Prof. Diego Aparicio, reveals that online prices set by algorithms are not necessarily the lowest.
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Proponents said leaving the EU would save the U.K. money, but that isn’t the case.
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Work underway by an MIT professor puzzles how bots change minds — or swing an election.
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Provides readers with new materials, worksheets, assessments, exercises, and cases
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Prof. Joann de Zegher suggests that crowdsourcing price information from market participants through a carefully-designed information-sharing platform can improve decision-making and increase revenue.
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MIT Sloan's Master of Finance (MFin) program has placed first among US schools in the eighth edition of the Financial Times’ Global Masters in Finance rankings released on Monday, June 18, 2018.
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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.