







Prof. Nick Vincent is an Assistant Professor in Computing Science at Simon Fraser University. He studies the content ecosystems and data supply chains that fuel
Nicholas Vincent - Academic Website
Prof. Nick Vincent is an Assistant Professor in Computing Science at Simon Fraser University. He studies the content ecosystems and data supply chains that fuel
Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage - The Blockchain Socialist
I spoke to Nick Vincent, assistant professor of computing science at Simon Fraser University and author of the Data Leverage substack, about what it actually means that AI systems are built on the collective output of humanity’s digital labor and what we can do about it. Nick has spent years researching how data functions as a bargaining tool, […]

Renaissance Philanthropy Fellow: Dario Taraborelli
Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage
Podcast Episode · The Blockchain Socialist · March 4 · 1h 3m
Alex Komoroske (Common Tools)
Data Leverage: A Framework for Empowering the Public in its...
Many powerful computing technologies rely on implicit and explicit data contributions from the public. This dependency suggests a potential source of leverage for the public in its relationship...

A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AI
Back to the basics of data leverage.

Broadening Access to Data Science Education in High School and Higher Education through Open Source Tools, Infrastructure, and Training
Equitable data science education requires a multifaceted approach, involving high school and higher education, community involvement, and accessible tools. A renewed investment in public digital infrastructure is needed to support these efforts. Nonprofits play a crucial role in supporting these efforts, and increased representation in leadership can enhance their impact. By addressing these disparities, we can ensure a more inclusive future in data science.
Daily Dose of Data Science on Twitter / X
Claude Code fully dissected!Researchers from UCL reverse-engineered the leaked Claude source. What they found changes how you should think about agent design.Only 1.6% of the codebase is AI decision logic.The other 98.4% is operational infrastructure. Permission gates, tool… https://t.co/5HYH7qV3wQ pic.twitter.com/5SBHQy5wFH— Daily Dose of Data Science (@DailyDoseOfDS_) June 13, 2026

Data on AI Companies
Our database of AI company data, with data on revenue, funding, staff, and compute for many of the key players in frontier AI.
Doing Data Science on the Shoulders of Giants: The Value of Open Source Software for the Data Science Community
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.

AI Economy Institute - Microsoft Research
The AI Economy Institute (AIEI) is Microsoft’s flagship think tank dedicated to shaping an inclusive, trustworthy AI economy. We building a network of scholars and convening that network with our subject matter experts to explore how artificial intelligence is transforming work, education, and productivity – and making this knowledge base available to policy-makers, educators, and […]

Why AI Agents are either the best or worst thing we’ve ever built
Why AI Agents are either the best or worst thing we’ve ever built
Our Spreadsheet Overlords
Weatherby argues that the current discourse around AI, especially the buzz around “artificial general intelligence,” is a distraction from its actual impact: the expansion of bureaucracy through massive data systems…

"AI makes it cheaper to contribute to Open Source, but it's not making life easier for maintainers. More contributions are flowing in, but the burden of evaluating them still falls on the same small group of people. That asymmetric pressure risks breaking maintainers." also relevant to slop science