Open Problems in Prediction Market Research.
functionSPACE is building a continuous-distribution prediction market primitive. This page tracks open research problems we believe matter for the prediction market ecosystem.
Some are funded as bounties; all are open invitations for serious work. If you have an angle on any of these, or want to propose something not yet here, get in touch.
Two tiers of contribution. Cash and / or token are allocated on acceptance after editorial review, not on submission, and are negotiable per contributor and piece.
- Tier 1Deep research. Original work by domain experts in derivatives, market microstructure, mechanism design, data science, or law / regulation. 1,500-4,000 words or notebook plus writeup.
- Tier 2Scoped bounties. Defined-scope analysis, paper breakdowns, use-case retrospectives. 800-1,500 words.
Some entries are tagged Pressure-test. These ask the contributor to act as a design critic against the functionSPACE protocol mechanism. Each PT entry shows the specific mechanism version being researched, canonicalised in the corresponding white-paper version, and the deliverable should frame its analysis against that version explicitly, calling out limitations and improvement vectors.
The mechanism is iterating. The white-paper version stated on the entry is the version under pressure-test; later mechanism changes are out of scope unless added to the brief at claim time.
All accepted research is published in collaboration with functionSPACE, on functionspace.dev/research and the functionSPACE X account, with contributor credit.
Where a piece of work materially shapes the protocol or core mechanism, additional formal attribution can be granted, negotiated case by case at acceptance.
- SourcesEvery numerical claim must have a source. Priority: academic papers > on-chain > official reports > news > community.
- HonestyHypotheses flagged as hypotheses. No unverified assertions stated as fact.
- AccessIf a primary source isn't accessible, mark [UNVERIFIED] and move on. A headline or URL is not a source.
- ReproShare notebooks and data where applicable.