Professor Przybylski is an experimental psychologist and Director of Research at the Oxford Internet Institute. His work is mainly concerned with applying psychological models of motivation and health to study how people interact with virtual environments including video games and social media. He is particularly interested in integrating open, robust, and reproducible science with evidence-based policymaking.

Selected Publications

Orben, A., Dienlin, T., & Przybylski, A. K. (2019) Social media’s enduring effect on adolescent life satisfaction, Proceedings of the National Academy of Sciences of the United States of America.

Przybylski, A., Orben, A. and Weinstein, N., (2019) How Much Is Too Much? Examining the Relationship Between Digital Screen Engagement and Psychosocial Functioning in a Confirmatory Cohort Study, Journal of the American Academy of Child & Adolescent Psychiatry.

Przybylski, A. and Weinstein, N., (2019) Violent video game engagement is not associated with adolescents’ aggressive behaviour: evidence from a registered report, Royal Society Open Science, 6(2), p.171474.

Areas of Interest for Doctoral Supervision

Psychology, digital games, virtual environments

Research interests

psychology, human motivation, video games, virtual environments

Positions held at the OI

  • Associate Professor, July 2017 –
  • Senior Research Fellow, January 2017 – 

  • Research Fellow, September 2013 – December 2016


Current projects

Past projects


Journal articles


  • Digital Social Research: Methods Core

    This course provides students with the opportunity to engage with the methodological, ethical and philosophical underpinnings of quantitative and qualitative social science research practices.

  • Digital Social Research: Statistics Core

    This course introduces students to statistics for the social sciences, with an emphasis on application to research on the Internet and society.

  • Experimental Approaches

    This course will prepare students to interpret and practice the experimental method, an increasingly important area of social science research in general, as well as design of policy.

  • Experiments in Social Data Science

    This option puts forward the experimental method as an essential element of social data science, which offers the potential to explain patterns or irregularities in human behaviour.






Integrity Statement

My research is currently supported by the Huo Family Foundation and the Economic and Social Research Council (ES/T008709/1 & ES/S00324X/1). In the preceding five years I have also worked on research grants provided The British Academy, John Fell Fund, The Diana Award, The Leverhulme Trust and the children’s charity Barnardo’s.

During this period, I have also engaged unpaid consultations with several organisations including UNICEF, the Organization for Economic Co-operation and Development, Facebook Inc., Google Inc., Epic Games, UKIE, The ParentZone, UKRI, DCMS, The Office of the Chief Medical Officer, The Academy of Medical Sciences, and the UK Parliament.