Thomas J. Allen, Beloved Sloanie Professor, Dies at 89
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Thomas J. Allen, SM ’63, PhD ’66, a beloved member of the MIT Sloan community for more than half a century, died November 13 after a brief illness. He was 89.
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Thomas J. Allen, SM ’63, PhD ’66, a beloved member of the MIT Sloan community for more than half a century, died November 13 after a brief illness. He was 89.
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Many of the MIT alumni who created the TravlerPack sleeping bag for Syrian refugees, including Sloanie Vick Liu, SB ’20, will return to campus for a special in-person ceremony celebrating the Classes of 2020 and 2021.
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Alumnae and friends from around the globe gathered online in January to discuss how they could come together to identify global problems and take action.
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Guadalupe Hayes-Mota, SB ’08, LGO ’16, is one of eight recipients of this year's Margaret L. A. MacVicar, SB ’65, ScD ’67, Award, which is given in recognition of one’s innovation at, dedication to, and impact on the MIT Alumni Association or the Institute in any area of volunteer activity.
For decades, MIT Sloan Professor Lotte Bailyn has been calling for changes in the way work is organized -- often in ways that have proven prescient.
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Steve Rusckowski, SM ’84, former chairperson, CEO, and president of Quest Diagnostics, believes small changes can have a major impact on company culture.
MIT Sloan students visited startups in Ghana and Kenya to learn from founders.
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Bain & Company’s clients want to know how they can use generative AI (GenAI) to add value to their businesses. In order to make recommendations, Bain & Company Partner Jennifer Smith, MBA ’11, and Senior Manager Enrico Innocenti, MBA ’18, needed more information. They enlisted a team of six Prosemin...
MIT Sloan Associate Professor Nathan Wilmers has been named an incoming Visiting Scholar at the Russell Sage Foundation, a leading foundation supporting social science research. This prestigious ten-month fellowship, which begins in September, is awarded to 15-17 scholars in the social sciences each...
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While no one can say for sure yet, it’s possible generative AI might reduce the contemporary societal problem of income inequality. That’s one of the conclusions reached by MIT Sloan School Associate Professor Nathan Wilmers in a new analysis.