Everything government, Parliament, the statistical agencies and the major policy institutes published — read, summarised and ranked so you can skim the day in a minute.
UCL’s Institute for Innovation and Public Purpose argues for treating digital systems—such as IDs, payments and data exchanges—as infrastructure, applying infrastructure economics to assess their properties and fit with political and institutional contexts.
A practical guide for nonprofit communicators on treating AI systems as audiences, summarising key takeaways from a ComNet 2026 session and linking to Pew’s broader research on American attitudes to AI and its role as an intermediary.
A new UCL IIPP series examines the political economy of digital public infrastructure, arguing DPI is broader than the India Stack’s ID, payments and data exchange model and highlighting the infrastructural nature and policy implications of wider DPI choices.
A monthly Pew digest summarises recent internet, science and technology research, noting items like phone‑use concerns, supplement use, and attitudes among young Americans across the Centre’s latest studies.
Sets out Pew Research Center’s current internal guidelines for using artificial intelligence and identifies areas the organisation may experiment with, explaining what AI will and will not be used for in its work.
Across 12 surveyed countries, a median 43% say they trust China to effectively regulate AI, compared with 35% for the United States and 34% for the European Union, according to Pew Research Center polling.
RUSI warns open-weight AI models put powerful capabilities beyond any single developer’s control and urges the UK to clarify how existing investigatory powers apply to them to prevent routine criminal misuse.
Pew’s survey of 41,113 adults across 37 countries finds that concerns about AI’s growth and economic effects are more common in high-income countries than in middle-income nations.
Public opinion in the US toward data centres has become more negative since January, while a substantial share of Americans remain unfamiliar or uncertain about what data centres are and how they affect communities and the environment.
A 37‑country Pew Research Center survey finds more respondents expect AI to cause job losses than to create net job growth, expressing both concern and excitement and reporting pessimism about AI’s likely effect on economic inequality.
Surveying 37 countries, Pew finds many young adults are simultaneously excited and worried about AI’s future impacts, though views vary significantly by country and demographic group.
Appendix A reproduces the model prompt text used to generate synthetic survey respondents, including the respondent role, profile JSON placeholder and the sequence of previously seen questions provided to the AI agents.
A recorded expert panel discussion with government, industry and academic practitioners on adopting a whole-of-government, campaigns-based approach to cyber deterrence in Europe and what that demands of national capitals.
In 37 countries surveyed, most adults have at least some awareness of AI, but the share who have heard or read a lot ranges widely — over half in Japan and Germany, versus around one-in-ten or fewer in some countries.
Argues Europe faces a dilemma on AI: either reject it and forgo growth, or adopt it and rely on US/Chinese technology; recent safety debates may render the choice irrelevant, reflecting Europe’s failure to produce Silicon-Valley scale firms.
Weekly roundup highlighting Pew Research Centre’s latest findings, including public attitudes such as the share of Americans who would feel uncomfortable with a new data centre being built in their area, among other polling insights.
Trainee researcher on IPPR’s economy and environment team, Sethunya Mills works on housing affordability and the societal and economic effects of new technologies. Formerly an advocate against homelessness and rough-sleeping in London, she studied International Relations at the University of Leicester with a year abroad in Florida.
Author revisits a 2018 wishlist of 15 desired inventions and asked an AI to report what has been invented or progressed since. The piece summarises AI’s assessment of each idea, from biodegradable nappies to enhanced carbon‑capture plants.
An Adam Smith Institute opinion piece disputes claims that AI datacentre expansion will create a catastrophic ‘tsunami’ of toxic e‑waste, arguing most discarded electronics will be recyclable, profitable to process and thus not a major problem.