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.
7 published examples. Draft-source programs, labeled as proposed — not a verified active inventory.
Give public institutions credible evidence for AI adoption decisions.
Turn public-goods research conversations into sustained collaborations.
Make credible evaluation more useful and affordable.
Make connectome reconstruction a measurable, competitive AI problem.
Test whether neural simulation can predict a new biological result.
Make a large-scale connectome program technically and financially credible.
Give AI researchers well-defined neuroscience problems they can work on.
Public types here follow the FA2 draft vocabulary. See the methodology for how they relate to the Console toolkit.