Catherine Tucker was born on May 16,1977 and is the Sloan Distinguished Professor of Management at MIT Sloan, where she is chair of the PhD program.
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Catherine Tucker is known for her research into the consequences of digital data for electronic privacy, algorithmic bias, digital health, social media and online advertising.
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Catherine Tucker was born in Oxford, and attended Merton College at the University of Oxford, studying Philosophy, Politics and Economics.
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Catherine Tucker emigrated to the United States in 1999, and obtained a PhD in Economics from Stanford University, advised by Susan Athey, Tim Bresnahan and Liran Einav.
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Catherine Tucker is the niece of pioneering special effects make-up artist Christopher Tucker.
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Catherine Tucker's research has evolved with the development of social media; her earlier publications focused on privacy and advertising, and now focus in the direction of algorithmic influence and consumer interactions with the blockchain.
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Catherine Tucker has published 67 scholarly papers in these related fields.
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Catherine Tucker has expertise in studying how can firms use digital data and machine learning to improve performance.
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Catherine Tucker is a cofounder of the MIT Cryptoeconomics lab which analyzes blockchain applications.
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Catherine Tucker has given talks to the European Union Future of Privacy Forum Roundtable and the OECD Roundtable on Economics of Privacy.
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Catherine Tucker has testified to the US Congress on algorithmic bias and online privacy.
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Later that year Catherine Tucker went on to receive the 2018 INFORMS Society for Marketing Science Long Term Impact Award.
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Catherine Tucker then continued on with Duncan Simester to win the 2020 Weitz-Weiner-O'Dell Award from the American Marketing Association.
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