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
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Companies whose board members are digitally savvy outperform other companies in areas like revenue growth, return on assets, and market cap growth.
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Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.
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Using data to build better products and improve job satisfaction builds competitive advantage. Creating “data connectors” can help.
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By assessing and applying the right type of governance, ecosystem participants can address shared challenges and grow ecosystem value.
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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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With carbon emissions reduction a top concern, tech leaders are building capabilities that help companies reduce their own emissions and those of suppliers and customers.
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To train employees on digital skills, companies need precise insight into current workforce skills. Artificial intelligence can help.
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How to women in low-wage service-sector jobs respond to unemployment? That's a question Claire C. McKenna explored in her recent doctoral dissertation in the MIT Institute for Work and Employment Research (IWER) PhD program.
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What factors explain the large differences in employment rates and wages between men and women in South Korea? That’s a question explored in a paper by MIT Sloan Assistant Professor Anna Stansbury, Jacob Funk Kirkegaard of the German Marshall Fund, and Harvard University Professor Karen Dynan that w...