Professor Przybylski is an experimental psychologist 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.
Psychology, digital games, virtual environments
Psychology, human motivation, video games, virtual environments
This project will capitalize on ESRC data resources to build a more nuanced and transparent empirical understanding of the impacts of digital technologies on young people.
The use of Internet filters has outpaced scientific evidence suggesting they protect young people online. This project investigates whether Internet filters help make young people resilient in the Internet age.
This project seeks to improve fundamentally the evidence stakeholders will depend on when crafting youth technology policy in the UK in order to address the current gap between research and policy.
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.
I conduct my research in line with the University's academic integrity code of practice.
With Professor Andrew Przybylski, Candice Odgers, and Professor John Horton
Professor Przybylski speaks one-on-one with Professor Candice Odgers (UC Irvine) in a virtual fireside chat moderated by Professor John Horton (MIT), discussing parenting, social media and mental health.
With Professor Andrew Przybylski, Julie Inman Grant, Tessy Ojo, Dr Catherine Steiner-Adair, and Laura Higgins
An esteemed panel convened by the Family Online Safety Institute discuss how the global pandemic and rise of online platforms interact to shape the mental health of young people.
With Professor Andrew Przybylski, and Dr Niklas Johannes
The OII hosts their Director of Research, Professor Andrew Przybylski, and Postdoctoral Researcher, Dr Niklas Johannes. They will discuss their recent ground-breaking study which revealed time spent playing video games can be good for your wellbeing.
With Professor Andrew Przybylski
Screen time - myths, misconceptions and making sense of it all.
28 March 2022
Girls and boys might be more vulnerable to the negative effects of social media use at different times during their adolescence, say an international team of scientists.
11 February 2022
We are delighted to announce the winners of the 2021 OII MSc Thesis Prizes. Two prizes were awarded for the best theses from the MSc in Social Data Science and the MSc in Social Science of the Internet, plus four ‘Highly Commended' awards.
6 January 2022
Consuming traditional forms of media has little effect on short-term adult well-being, according to a new study by researchers from the University of Oxford, University of Vienna and Nesta.
5 December 2021
Academics from around the world urge Mark Zuckerberg to commit to better research on the mental health of children and adolescents in an open letter.
The Independent online, 30 March 2022
The link between screen time and mental health is not as clear as we think.
The Daily Mail, 28 March 2022
Major study reveals boys are most likely to be negatively affected between the ages of 14 and 15 – but girls are susceptible as young as 11.
The Telegraph, 21 March 2022
We assume phones get in the way – but as our writer finds in a rural Essex cabin, they can actually improve our holidays.
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.
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.
