- AI4PG
- Research
Four open problems.
Four research threads that shape the AI4PG agenda. The workshop and the grants programme converge on this structured map of open problems in the design of allocation mechanisms for public goods, under realistic assumptions about evaluator capacity, measurement error and strategic behaviour. Visual artifacts such as timelines, infographics, and essays live in Field Notes.
Thread 01
Ex-ante versus ex-post allocation
What are the comparative properties of prospective allocation mechanisms (including quadratic and matching-fund designs) versus retrospective, impact-based reward mechanisms, under realistic assumptions about evaluator capacity, measurement error, and strategic behavior?
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Impact evaluation at scale
How should the outcomes of funded work be measured, attributed, and rewarded when the volume of funded projects grows faster than the supply of qualified evaluators? What mechanisms can credibly distinguish impactful work from plausible-looking work, especially when results unfold over years?
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Evaluation under AI-mediated contribution
How should provenance, attribution, and reviewer effort be incorporated into allocation mechanisms when a growing share of submitted material is machine-generated? What mechanisms can preserve informativeness when the cost of producing plausible submissions approaches zero?
Read threadThread 04
Broad listening and collective input
Tools like Polis, Talk to the City, and Kouchou AI use language models and clustering to read free-form input from thousands of citizens, contributors, and beneficiaries. How should that input feed into allocation mechanisms, so that funding decisions track what affected communities actually say while staying incentive-compatible, legitimate, and auditable?
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