There is an ever-growing interest in big data across multiple areas of psychology. In this talk, Dr. Louis Tay will present the key reasons for this interest and how it can advance psychological science theoretically and practically. At the same time, psychology can also contribute considerably to big data research, particularly in big-data assessments where there is a significant need to evaluate and enhance reliability and validity and reduce machine learning bias.

Dr. Louis Tay is the William C. Byham Associate Professor of Industrial-Organizational Psychology at Purdue University. He is a co-editor of the books Big Data in Psychological Research (APA Books) and Handbook of Well-Being (DEF Publishers) and the founder of the tech-startup ExpiWell that advances the science and capture of daily life experiences through experience sampling methodology. He currently serves as an Associate Editor of Organizational Research Methods and is the director of the Well-Being and Measurement (WAM) lab.

More information can be found at https://learninganalytics.net/psyc-la/big-data-psyc/

This event is organized by the Master of Science in Learning Analytics Program in the Department of Psychology at the University of Texas at Arlington. If you have any questions about the event, please contact Justin T. Dellinger at learninganalytics@uta.edu