What volunteers contribute
Volunteers run a desktop worker app that can process open-access literature packets with a local AI model. The worker returns structured evidence candidates, source quotations, validation warnings, and provenance.
About OpenCause Compute
OpenCause Compute is a volunteer-compute network for AI-assisted open science. It turns open research literature into signed work packets, routes them to registered worker apps, and collects structured, citation-backed evidence for comparison, consensus, and review.
Volunteers run a desktop worker app that can process open-access literature packets with a local AI model. The worker returns structured evidence candidates, source quotations, validation warnings, and provenance.
Results are research-support artifacts. They require consensus and/or human review before scientific use and should never be treated as medical advice, diagnosis, treatment guidance, or validated discoveries by themselves.
First research track
Cancer Knowledge Miner focuses on open biomedical literature. The goal is to make research evidence easier to inspect, compare, and verify — not to produce clinical recommendations.
Workers process public/open scientific literature. OpenCause Compute is not designed to process personal health records or private documents.
The desktop app exposes pause controls, resource limits, logs, and local data removal so contributors can decide when and how their computer participates.
OpenCause reports processing and review progress. It does not present candidate extractions as accepted science, medical advice, or clinical guidance.
OpenCause Compute is operated by AppAssist, a small AI-assisted software studio building practical tools and research-support infrastructure. For questions, security reports, or volunteer support, contact alan@appassist.ai.