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Funded Academic Replication Marketplace
A platform connecting research funders, institutions, and journals with qualified researchers who can be contracted to replicate published studies. Addresses the core incentive gap: replication is valuable but nobody currently gets paid to do it. Includes automated triage that flags high-impact, never-replicated studies as priority candidates.
Por que isso importa
You are a research integrity officer or journal editor who knows that influential studies in your field may rest on fabricated or irreproducible data, but you have no systematic way to identify which ones or commission replications. The current system relies on heroic individual investigators who manually uncover fraud years after publication, while the original studies accumulate thousands of citations in the meantime. You wish there were a structured way to prioritize and fund replication of high-impact papers, but no marketplace exists to connect willing funders with qualified replicators. The result is that bad science persists for decades, and you have no tool to change that.
- · Feito para University research integrity offices, academic journals, science philanthropies, and government grant agencies (NSF, NIH) that want to ensure funded research is reproducible.
- · Monetização mais provável: SaaS subscription for institutions + transaction fee on funded replications.
A Dor · Narrativa
You are a research integrity officer or journal editor who knows that influential studies in your field may rest on fabricated or irreproducible data, but you have no systematic way to identify which ones or commission replications. The current system relies on heroic individual investigators who manually uncover fraud years after publication, while the original studies accumulate thousands of citations in the meantime. You wish there were a structured way to prioritize and fund replication of high-impact papers, but no marketplace exists to connect willing funders with qualified replicators. The result is that bad science persists for decades, and you have no tool to change that.
Detalhe da pontuação
Sinal de Mercado
Go-to-Market
Research integrity officers and open science advocates at R1 universities who are already frustrated by replication failures in their disciplines
~2,000 research integrity officers and open science administrators globally at major research institutions, plus ~100 progressive journals interested in replication mandates
Direct outreach to open science communities and academic conference demos at events like the Society for Improving Psychological Science conference
$299/month for institutional accounts; 10% transaction fee on funded replications
5 funded replication projects posted on the platform within 60 days of launch, with at least 2 completed replications
Escopo do MVP · 1–2 semanas
- Build simple web app with project posting board where funders can list studies needing replication
- Integrate OpenAlex API to fetch metadata on high-cited papers in psychology and behavioral economics
- Create researcher profile page with ORCID integration for credential verification
- Set up basic project workflow: posted → claimed → in progress → completed
- Landing page explaining the replication crisis with signup form for interested funders and replicators
- Add funding escrow integration via Stripe Connect for secure payment handling
- Build automated 'replication priority' scoring algorithm based on citation count, age, and replication status
- Create replication methodology template library for common study types (surveys, behavioral experiments, etc.)
- Add results publishing interface with DOI assignment via DataCite integration
- Reach out to 20 open science advocates and 5 journal editors for pilot feedback and first project postings
Diferenciação
Por que isso pode falhar
Auto-refutação — o sinal de confiança mais importante
- 1Academic culture fundamentally undervalues replication; researchers may not want to spend time or money on it even with a platform, because tenure and promotion decisions reward novel findings exclusively
- 2The marketplace requires simultaneous trust from funders (who must post money) and replicators (who must trust they will be paid), making the cold-start problem exceptionally difficult for a niche audience
- 3Legal and reputational risks: if a replication on the platform incorrectly invalidates a study, the platform could face litigation from the original authors, creating a chilling effect
Resumo das evidências
Como a IA sintetizou este insight — sem citações literais
Approximately 6 commenters in this discussion explicitly discussed the replication crisis and lack of incentives. One commenter directly suggested paying people to replicate studies as the solution. Another pointed out that the fraudulent study in question was trivially easy to replicate yet nobody attempted it for years. Multiple commenters expressed frustration that the scientific community accepts findings without replication by default. The emotional investment in this topic is high, with commenters describing personal betrayal after promoting fraudulent research.
Plano de Ação
Valide esta oportunidade antes de escrever código
Próximo Passo Recomendado
Validar
Sinais promissores. Crie uma landing page, colete e-mails e então decida se vai construir.
Kit de Textos para Landing Page
Textos prontos para colar, baseados na linguagem real da comunidade Reddit
Título Principal
Funded Academic Replication Marketplace
Subtítulo
A platform connecting research funders, institutions, and journals with qualified researchers who can be contracted to replicate published studies. Addresses the core incentive gap: replication is valuable but nobody currently gets paid to do it. Includes automated triage that flags high-impact, never-replicated studies as priority candidates.
Para Quem É
Para University research integrity offices, academic journals, science philanthropies, and government grant agencies (NSF, NIH) that want to ensure funded research is reproducible
Lista de Funcionalidades
✓ Replication project posting board with funding escrow ✓ Researcher credential verification and matching algorithm ✓ Automated identification of high-impact studies that have never been replicated using OpenAlex/Crossref data ✓ Replication methodology templates and peer review workflow ✓ Results publishing with DOI assignment for replication studies
Onde Validar
Compartilhe sua landing page no r/HN · front_page — é exatamente lá que esses pontos de dor foram descobertos.
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