Catherine Tucker

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Catherine Tucker (born May 16, 1977) is the Sloan Distinguished Professor of Management at MIT Sloan, where she is also chair of the PhD program. She is known for her research into the consequences of digital data for electronic privacy, algorithmic bias, digital health, social media and online advertising. She is also a research associate at the NBER, cofounder of the Cryptoeconomics lab at MIT with Christian Catalini and coeditor at Quantitative Marketing Economics.

Biography[edit]

Catherine Tucker was born in Oxford, and attended Merton College at the University of Oxford,[1] studying Philosophy, Politics and Economics. She 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. She is married and has four children.[2] She is the niece of pioneering special effects make-up artist Christopher Tucker.

Research field[edit]

Tucker's research focuses on the connections of marketing, economics of technology, law. Much of her publications have studied social media and its interactions with consumers. Tucker's research has evolved with the development of social media; her earlier publications focused on privacy[3] and advertising,[4] and now also focus in the direction of algorithmic influence and consumer interactions with the blockchain.[5] She has published 67 scholarly papers in these related fields. Common outlets for Tucker's publications include Marketing Science,[6] Quantitative Marketing and Economics,[7] and the Journal of Marketing Research.[8][9] She has expertise in studying how can firms use digital data and machine learning to improve performance. [10]

Career[edit]

Tucker teaches at the MIT Sloan School of Management and is chair of the MIT Sloan PhD Program.[11] Tucker is also a cofounder of the MIT Cryptoeconomics lab which analyzes blockchain applications.[10]

Tucker has given talks to the European Union Future of Privacy Forum Roundtable and the OECD Roundtable on Economics of Privacy. She has testified to the US Congress on algorithmic bias and online privacy.[12] In 2011, she received a CAREER Award from the National Science Foundation.[13] In 2012, she was admitted as a Research Associate of the National Bureau of Economic Research, and became the first woman to be awarded tenure in the MIT Marketing Department. In 2015, she received the Erin Anderson Award, honoring an "emerging research star...who has exceeded the normal expectations for someone of her rank in mentoring doctoral students or junior faculty members."[14] In 2018, she received the William O'Dell Award, for an "article ... that has made a significant contribution to marketing theory, practice or methods".[15] Later that year Tucker went on to receive the 2018 INFORMS Society for Marketing Science Long Term Impact Award.[16] She then continued on with Duncan Simester to win the 2020 Weitz-Weiner-O'Dell Award from the American Marketing Association.[17] Additionally, she was appointed a visiting fellow at All Souls College at the University of Oxford;[18] and cofounded the Cryptoeconomics Lab at MIT.

Selected publications[edit]

References[edit]

  1. ^ "Elections". Oxford University Gazette. Oxford University. Archived from the original on October 28, 2008. Retrieved May 7, 2013.
  2. ^ Escobar Coakley, Nell (2008-05-14). "Fairfield St. Family Celebrates A Happy Mother's Day". Medford Daily Transcript. Retrieved May 4, 2013.
  3. ^ "Handbook of Media Economics, vol 1A - 1st Edition".
  4. ^ Lambrecht, Anja; Tucker, Catherine; Wiertz, Caroline (2018). "Advertising to Early Trend Propagators: Evidence from Twitter" (PDF). Marketing Science. 37 (2): 177–199. doi:10.1287/mksc.2017.1062. hdl:1721.1/122363.
  5. ^ Tucker, Catherine E.; Catalini, Christian (2018-06-19). "Antitrust and Costless Verification: An Optimistic and a Pessimistic View of the Implications of Blockchain Technology". SSRN 3199453. {{cite journal}}: Cite journal requires |journal= (help)
  6. ^ Goldfarb, Avi; Tucker, Catherine (2011). "Online Display Advertising: Targeting and Obtrusiveness". Marketing Science. 30 (3): 389–404. doi:10.1287/mksc.1100.0583. hdl:1721.1/67901.
  7. ^ Ryan, Stephen P.; Tucker, Catherine (2012). "Heterogeneity and the dynamics of technology adoption". Quantitative Marketing and Economics. 10: 63–109. doi:10.1007/s11129-011-9109-0. hdl:1721.1/73195. S2CID 189953091.
  8. ^ Tucker, Catherine E. (2014). "Social Networks, Personalized Advertising, and Privacy Controls". Journal of Marketing Research. 51 (5): 546–562. doi:10.1509/jmr.10.0355. hdl:1721.1/99170. JSTOR 43832316. S2CID 11518615.
  9. ^ "Author Page for Catherine e. Tucker :: SSRN".
  10. ^ "MIT Sloan Faculty: Catherine Tucker | Sloan Distinguished Professor of Management Science and Professor of Marketing".
  11. ^ a b Sengupta, Somini (2011-09-15). "Less Web Tracking Means Less Effective Ads, Researcher Says". The New York Times. Retrieved May 7, 2013.
  12. ^ "2011 Awards and Honors". NBER Reporter. National Bureau of Economic Research. Retrieved May 7, 2013.
  13. ^ "MIT Sloan Professor Catherine Tucker Receives Top Marketing Award | MIT Sloan Executive Education". executive.mit.edu. Retrieved 2019-02-12.
  14. ^ "AMA Academic Community - "ELMAR"". ama-academics.communityzero.com. Retrieved 2019-02-12.
  15. ^ 17
  16. ^ "Catherine Tucker". MIT Management Sloan School. 2020 MIT Sloan School of Management. Retrieved 10 December 2020.
  17. ^ "All Souls College Oxford". www.asc.ox.ac.uk. Retrieved 2019-02-12.
  18. ^ Vijayan, Jaikumar (2009-04-14). "Privacy rules hamper adoption of electronic medical records, study says". Computer World. Retrieved May 7, 2013.
  19. ^ Flavelle, Dana (2011-05-31). "Advertising: Web tangles traditional ad bans, study finds". Toronto Star. Retrieved May 7, 2013.
  20. ^ Lewis, Nicole (March 3, 2011). "Health IT Saves Babies' Lives". Information Week. Retrieved 2013-05-15.
  21. ^ Hiltzik, Michael (July 8, 2012). "Ads invade our screens — and our private lives". Los Angeles Times. Retrieved May 7, 2013.
  22. ^ Rooney, Ben (2013-04-17). "Expect More Ads to Follow You Around The Web". Wall Street Journal. Retrieved May 7, 2013.
  23. ^ "People Who Love Crystal Pepsi Are a New Demographic, MIT Study Finds". americaninno.com. Retrieved 2018-02-03.
  24. ^ Woodward, Aylin. "Bitcoin study reveals how early adopters influence our decisions". New Scientist. Retrieved 2019-02-12.
  25. ^ Maron, Dina Fine. "Science Career Ads Are Disproportionately Seen by Men". Scientific American. Retrieved 2019-02-12.