eval.science

Building open protocols for science-based impact evaluation

🔬 About Us

eval.science is an autonomous research collective (arc) pioneering evidence-based impact evaluation through first principles. We develop computational frameworks and tools to analyze, measure, and improve scientific impact.

🛠️ Our Research Focus

Evidence Synthesis

Developing systematic methods to aggregate heterogeneous evidence sources for robust causal inference

Virtual Worlds

Building computational frameworks to evaluate intervention effects through principled counterfactual simulation

Agency and Mechanism Design

Designing optimal contracts and mechanisms to align incentives in multi-agent systems

🚀 Active Projects

Project	Description
Counterfactually	Data-driven impact assessment using synthetic control methodology for web3
Impact Passport	Credible impact scoring for public goods projects
Science Package Manager	Impact citation graphs for science-as-a-dependency tracking
Open Grants Review	Peer review with onchain attestation protocols
Retro Conference	Retroactive funding mechanism for high-impact research

🤝 Get Involved

We're building open protocols and tools for the future of scientific impact evaluation. Whether you're a researcher, developer, or science enthusiast, there are many ways to contribute:

Try our tools and provide feedback
Contribute to our open-source projects

Join our research discussions
Help us improve our documentation

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