Public programs
Fields don't stall in general. They stall on a specific constraint. These are the programs we run to loosen those — and the evidence we look at next.
How we choose the work →Diagnose
Identify the bottlenecks
Read field velocity. Name the constraint that is actually in the way.
Intervene
Match the work
Orient, coordinate, resource, build, prove, or enable — whatever loosens that bottleneck.
Learn
Examine the evidence
Watch whether the field moved. Update the hypothesis, continue, or stop.
Draft-source examples. Not approved commitments.
9 published examples. Draft-source programs, labeled as proposed — not a verified active inventory.
Help national institutions turn open models into useful, locally maintained AI capability.
Give public institutions credible evidence for AI adoption decisions.
Make participatory decision tools easier to adopt, evaluate, and maintain.
Develop shared research and evaluated AI tools for environmental institutions.
Make credible evaluation more useful and affordable.
Make connectome reconstruction a measurable, competitive AI problem.
Create a primate reference dataset that tests long-range tracing.
Give AI researchers well-defined neuroscience problems they can work on.
Build shared simulation infrastructure after a discovery target is proven.
Public types here follow the FA2 draft vocabulary. See the methodology for how they relate to the Console toolkit.