We aim to create tools, processes, and incentives that empower communities to identify reliable knowledge based on credible evidence. We promote transparency in the provenance, quality, reliability, relevance, and integrity of the data underpinning the evidence.

Our work is informed by a deep understanding of cognitive science principles, distributed cognitive systems, institutional design, data science, and informatics. It is motivated by our commitment to helping communities act wisely.

On a day-to-day level, we help knowledge-generating entities register their claims, publish the evidence supporting the claims, and report the data quality standards and processes they used to generate that evidence. We provide public verification of registration, publication, and reporting to illuminate the credibility of registrants and their knowledge production methods for specific types of evidence.

Our longer-term goal is to enable communities to more efficiently evaluate claim trustworthiness and reliability through computable, standards-based public records. Efficient and public evaluation of credibility will create social incentives for producing defensible claims supported by high-quality evidence and data.

We are excited so many have expressed interest in this important problem. We're just getting started, but we're already making progress.

Our first step is to form advisory boards made up of experts in relevant fields who will help guide our work and ensure that we stay focused on our mission.

In addition, we're currently writing white papers that will help us develop a shared understanding of the problem and the possible solutions. These papers will provide the foundation for our work going forward and will be a valuable resource for anyone who wants to learn more about the issue.

• If you are interested in joining our advisory board, please get in touch (see below).

• If you want to keep tabs on our progress, please sign up for our newsletter and/or follow us on LinkedIn (see below).