How SciWard differs from traditional funding
SciWard is an experimental platform for recognizing and potentially funding documented scientific and open-source contributions through AI-assisted assessments. Unlike conventional grant processes, its design emphasizes post-publication evaluation and does not generally require a PhD.
The operational beta runs on Node.js and PostgreSQL with centralized administrative control. Independent validation of allocation fairness and reliability remains pending. Payments depend on available donations, eligibility rules and operational controls; recommended allocations are not guaranteed payments.
Traditional funders may provide up-front project grants, laboratory budgets and independent expert review that SciWard does not replace. See Testing & Evidence, Transparency, and Product Status for limitations.
Help Turn SciWard’s Beta into Evidence
SciWard remains experimental. The next proposed milestone is a five-month public adversarial test, with $1,000 planned for distribution to eligible funding recipients. Donations support the work required to run and evaluate that test.
Fund the public test → Test proposal → Independent review →
AI-generated evaluations can contain factual errors or biases. Public testing, auditability, and external criticism remain part of the project.