Algorithms and decision-making

early career researchers data blitz

october 26, 2020 10am PT / 1PM ET

The Psychology of Technology Institute is pleased to present an exclusive virtual seminar, Algorithms and Decision-Making: Early Career Researchers Data Blitz. The data blitz featured six presentations from emerging researchers from a variety of disciplines and was moderated by PTI co-directors Nate Fast (USC) and Juliana Schroeder (UC Berkeley).

Watch the Video

SPEAKERS:

Click here for the Data Blitz sessioN Schedule

MORE ABOUT THE SPEAKERS:

• Noah Castelo, University of Alberta: Noah is an assistant professor in the marketing group at the University of Alberta School of Business. His research focuses on the psychology and marketing of artificial intelligence, and he teaches consumer behavior in the B.Comm. program. He received his PhD from Columbia Business School. You can follow him on Twitter or visit his website for more information.

• Jennifer M. Logg, Georgetown University: Jennifer is an Assistant Professor of Management at Georgetown University's McDonough School of Business​. Prior to joining Georgetown, she was a Post-Doctoral Fellow at Harvard University. She received her PhD from the Management of Organizations department at the University of California, Berkeley’s Haas School of Business. Jennifer’s work examines why people fail to view themselves and their work realistically. Her research focuses on how individuals can assess themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). You can visit her website for more information.

• Hatim A. Rahman, Northwestern University: Hatim is an Assistant Professor of Management and Organizations at the Kellogg School of Management, Northwestern University. Prior to joining Kellogg, Hatim received his PhD and Masters in Management Science and Engineering from Stanford University and his B.S. in Business Administration from the University of Illinois at Urbana-Champaign. His research investigates how artificial intelligence, undergirded by algorithms, is impacting the nature of work and employment relationships in organizations and labor markets. Hatim's work has received several awards, including from INFORMS, Academy of Management, Psychology of Technology Institute, and ICIS.

• Teodora Tomova Shakur, New York University: Teodora is a 5th-year PhD Candidate at New York University, Stern School of Business. Prior to joining NYU Stern, she gained industrial experience as an organizational consultant and HR professional, giving a start to her career as a researcher. Teodora’s research interests focus on unpacking the motivations of network tie favoritism (e.g. nepotism, cronyism) and the implications of such favoritism on organizational diversity and equality. Additionally, Teodora is interested in exploring the role of automation in hiring processes and the perceived utility of algorithmic recommendations in comparison to incumbent employees’ hiring recommendations for organizational diversity, performance, and new hire socialization. 

• Heather Yang, Massachusetts Institute of Technology: Heather is an organizational psychologist and PhD candidate at MIT's Sloan School of Management, where she has been recognized as an MIT Presidential Fellow. Her research is on how social information embedded in novel technologies (such as artificial intelligence) influences their use and the psychological factors that dissuade or engage users from algorithmic advice. She is currently on the job market for tenure-track faculty positions in management departments. You can follow her on Twitter or visit her website for more information.

• Michael Yeomans, Imperial College: Michael is currently an Assistant Professor at Imperial College Business School. His research focuses on the digital transformation of conversation. He uses methods from machine learning and natural language processing to understand and improve the ways that people make decisions in their social interactions. You can follow him on Twitter or visit his website for more information.