IS Seminar Series: “Employing Natural Language Processing and Machine Learning to Improve Psychometrics”

“Employing Natural Language Processing and Machine Learning to Improve Psychometrics: Can we Develop a Distance Measure for Constructs in IS, Management, and Psychology?”

Kai R. Larsen is an Associate Professor of Information Systems in the division of Organizational Leadership and Information Analytics, Leeds School of Business, University of Colorado Boulder. He is a courtesy faculty member in the Department of Information Science of the College of Media, Communication and Information, a Research Advisor to Gallup, and a Fellow of the Institute of Behavioral Science. Kai is most known for providing a practical solution to Edward Thorndike’s (1904) Jingle Fallacy and for his contributions to the Semantic Theory of Survey Response (STSR), which holds that results of surveys using attitude scales primarily measure the linguistic relationships between survey questions. Kai’s book on Automated Machine Learning is slated for publication by Oxford University Press in 2019.