Projects

A public map of who shapes U.S. AI policy, what they believe, and how they are connected. The map covers 2,041 people and organizations and 2,978 relationships.

A systematic map of the threat models behind policy interventions: their assumptions, causal pathways, and the measurement systems needed to track them.

We’re conducting structured postmortem interviews with campaigns in the 2026 congressional primaries, covering how their tech platforms were built (especially who influenced them), what landed with voters, and what they would do differently.

A proposal to build strategic relationships with pro-democracy groups, legal scholars, and adjacent fields working to prevent concentrations of power.

A pilot proposal for structured transparency between frontier labs and government statistical agencies, enabling shared evidence about AI’s effects on the economy.

An exploration of institutional forms that could bind frontier AI companies to account for the public interest through internal governance and verifiable external checks.

A working catalog that matches governance problems to institutional forms, and identifies where AI calls for new scientific, investigative, or infrastructure-building bodies.

How does power concentrate across multiple world models? An introduction to a participatory method for mapping structural power and its causal pathways.

Our founding charter on technological transitions, public authority, and the evolving agreements through which institutions and publics allocate risk and benefit.