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Dr. Kalinda Ukanwa

Contributing Author

Dr. Kalinda Ukanwa is an Assistant Professor of Marketing at the University of Southern California’s Marshall School of Business. A quantitative modeler, Professor Ukanwa researches how algorithmic bias, algorithmic decision-making, and consumer reputations impact firms. She is the winner of the 2018 Eli Jones Promising Young Scholar Award and a finalist for the 2018 INFORMS Service Science Best Student Paper Award, 2019 Howard/AMA Doctoral Dissertation Award, and the 2020 AMS Mary Kay Doctoral Dissertation Award. In a prior life, Professor Ukanwa was an industrial engineer, financial analyst, and finance executive at Walt Disney, Citigroup, Viacom, and Kaplan.

Kalinda holds a Ph.D. from the University of Maryland, as well as an MBA, M.S. and B.S. from Stanford University.

Recent Work

Publication  |  February 7, 2022

Breaking Up Big Tech Will Not Prevent Algorithmic Harm to Society

  • Dr. Kalinda Ukanwa
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