Lockdown lessons on balance and belonging at work
1 October 2025
OII doctoral researcher Lily Rodel explores what lockdown revealed about how we could all achieve the perfect work-life balance.
Latest news
Oxford Internet Institute relocates to the new Schwarzman Centre
30 September 2025
The Oxford Internet Institute (OII) has moved to its new home in the Stephen A. Schwarzman Centre for the Humanities.
New report calls for decisive government action to help build public trust in AI
24 September 2025
A new paper from the Tony Blair Institute for Change, featuring a guest contribution from the OII’s Professor Helen Margetts, calls for government action to build better public trust in AI.
Next events
03
Nov
Oxford Digital Ethnography Group Seminar Series
For every species, a language: AI, interspecies communication, and the democratization of language to nonhuman worlds
15:30 -17:00, 61 Banbury Road
With Professor Courtney HandmanThis talk will explore the argument that every species has a 'language' of its own that can be understood with machine learning, and emphasize the ways in which language is becoming polymorphous in its definitions.
Four graduate degrees
Academic spotlight
Find out more about research by OII academics
Professor Andrew Przybylski
Professor of Human Behaviour and Technology
Professor Przybylski is a psychologist who studies how online social media and video games platforms influence users’ mental health. His research focuses on how data from these platforms can inform regulation, policymaking, and expert advice.
Professor Mark Graham
Professor of Internet Geography
Mark Graham is an economic geographer. His research focuses on digital labour, the gig economy, and digital inequalities. He is the author, most recently, of Feeding the Machine: The Hidden Human Labour Powering AI
Dr Ekaterina Hertog
Associate Professor in AI and Society
Ekaterina Hertog is an Associate Professor of AI and Society at Oxford Internet Institute and Institute for Ethics in AI. She studies how the rising digitalisation is reshaping private lives across the world.
Latest projects
Conversations between governments and citizens in a digital society
This project seeks to understand how citizens listen and speak to public institutions, and how alternative AI-based models and framing might encourage democratic communication.
The Promise of AI in Childcare
With mobile devices ubiquitous among young people, it is not surprising that parents are increasingly turning to technology for help in childcare. This project examines monitoring technologies and how parents use them as part of child supervision.
Understanding the Causes of the Reverse Personal Computing Revolution
The shift to cloud represents a reversal of the 1980s personal computing revolution: computation is moving from personal devices back into large, centralized facilities. This project seeks to understand the economic drivers of this reversal.
Latest report
By Andres Raieste, Andri Rebane, Madis Tapupere, Keegan McBride
In a world increasingly defined by crises—from pandemics and climate disasters to escalating wars—governments that fail to build digital resilience risk crumbling under pressure.
Press coverage
From Mexico to Ireland, Fury Mounts Over a Global A.I. Frenzy
New York Times, 20 October 2025
As tech companies build data centers worldwide to advance artificial intelligence, vulnerable communities have been hit by blackouts and water shortages, with commentary from the OII's Dr Ana Valdivia.
Companies are blaming AI for job cuts. Critics say it’s a ‘good excuse’
CNBC, 19 October 2025
Article consider the impact of AI on shrinking workforces with new commentary from the OII's Dr Fabian Stephany.
London Became a Global Hub for Phone Theft. Now We Know Why.
New York Times, 15 October 2025
About 80,000 phones were stolen in the British capital last year. The police are finally discovering where many of them went.
Latest podcast
The science behind successful start-ups
Fabian Braesemann and Paul McCarthy discuss the impact of founder personalities on startup success, how a predictive model outperforms industry standards to predict company success, and what factors can help us predict which startups will succeed.
