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@jacobcole / Open Asks / paper2graph-collaborator.md
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--- title: Collaborator wanted — Paper2Graph paradigm visibility: public --- # Collaborator wanted: develop paper-to-graph paradigm **The ask.** Looking for someone (researcher, vibe-coder, scientifically-literate builder) to further develop the paradigm inside the Paper2Graph paper — extracting structured knowledge graphs from scientific literature and making them queryable, combinable, and useful for drug repurposing, cross-domain discovery, and agent-driven research. **What "further develop" means (open-ended).** Any of: - Take the current Paper2Graph demos and push the extraction quality forward - Build a domain-specific instance (drug repurposing, materials science, longevity, your field) - Connect it to Noos / Neo4j / a graph store so outputs accrete rather than evaporate - Design the UX for scientist ↔ graph interaction - Write the paper that situates this in the broader "claude code + neo4j + MCP" landscape **What I bring.** Context, funding runway for the right collaborator, the existing codebase + demos, the papertograph.ai domain, and an integration target (Noos). I've thought about this for years and have a backlog of specific experiments I want to run. **What I'm looking for.** Ideally someone with scientific domain knowledge + coding ability, or a researcher who wants an AI-native collaborator and doesn't want to build the infra alone. Part-time, contract, or co-founder-shaped engagements all fine. ## References - [More detailed discussion of Paper2Graph (video)](https://youtu.be/A1_rHEqgBWc) - [paper2graph vs. claude code + neo4j mcp — scratch thoughts](https://globalbr.ai/node/Gj843yk_lZec-UHERBytW) - [Drug-repurposing plan akin to Paper2Graph](https://globalbr.ai/node/eDaJ0glVEiwP_RmnJ0b1I) - [papertograph.ai](https://papertograph.ai) - [Paper2Graph on jacobcole.ai](https://jacobcole.ai/paper2graph.html) - Canonical Noos node for this ask: [91Rwh8IiwfQ8Sl9Vrscxl](https://globalbr.ai/node/91Rwh8IiwfQ8Sl9Vrscxl) **Contact.** tmad4000@gmail.com · jacob@ideaflow.io