Recap: What We Learned About Climate and AI from Our First Roundtable
The kick-off of AI Learning Labs brought the community together for a wide-ranging discussion lasting over two hours; here are the video recording and highlights
How can we build a responsible climate chatbot?
In one of our very first AI Learning Labs projects, we are teaming up to explore how to design a chatbot that draws on reliable science and systemic social analysis
The Neurotech Booth at RightsCon That Never Happened
What testing commercial neurotech has taught us, and why these technologies require informed engagement now.
Brazil and OKFN partner to enable citizens to ‘talk’ to national data
Together, we are developing a tool that will bring public data closer to citizens, allowing them to get data by simply asking a question.
Introducing OKFN’s AI Learning Labs
We are partnering with organisations on high-impact social issues to experiment with AI and develop replicable methods together; you can join us
Frictionless Data Community Call January 2026
At our last call we discussed the evolution of the Frictionless Data standards, ongoing software development, and real-world adoption across research domains.
Open Knowledge Foundation and datHere Announce New Partnership to Strengthen Open, FAIR, AI-Ready Data Infrastructure Powered by CKAN
The Open Knowledge Foundation (OKFN) and datHere have established a new partnership to advance open standards and AI-ready data infrastructure tooling, standards and practices. The collaboration aims to help develop…
Frictionless Data Community Call November 2025
At our last call we discussed the Zenodo Integration of the Data Package and an Action Plan for the community reactivation in 2026.
Call for Applications – Open Knowledge Legal Lab
The Open Knowledge Foundation is proud to launch the Open Knowledge Legal Lab — a new global community of lawyers committed to advancing openness at the frontiers of technology. The…
Open Data Commons in the age of AI and Big Data
AI is bringing forth new types of capture, appropriation and enclosure of data that limits the realisation of its collective societal value.