Campus Evidence Lab

The description states that CEL is:

• A public evidence infrastructure for civil-rights accountability in higher education
• A reproducible evidence system with claim boundaries built into its architecture
• Capable of transforming fragmented public information into structured, source-linked records
• Designed to make the underlying public record easier to find, verify, and responsibly use

It allows users to:

• Search campus civil-rights records by institution, issue, source, and community
• Open institution-specific evidence pages
• Trace claims back to primary sources and precise document locations
• Generate citation-ready reporting packets
• Download structured JSON and CSV datasets
• Inspect limitations, institutional responses, corrections, and review status
• Receive timely CEL Signals connecting current developments with relevant public evidence

The system is described as not ranking universities, calculating safety scores, or turning allegations into conclusions.

Evidence Self-reported by the author. No independent verification provided.

The description states that:

• CEL is becoming "America’s civil-rights radar for civil rights issues in higher education"
• It transforms 10,000 source-linked records into live accountability for journalists, advocates, and communities
• The platform aims to make verifiable evidence accessible when needed most
• It is positioned as public-interest infrastructure

The claim evolution appears to be:

1. Initial focus on antisemitism in higher education (personal motivation)
2. Expansion to broader civil rights accountability in higher education
3. Development into a scalable, reproducible evidence system with institutional relevance

Evidence Self-reported by the author. No external validation or third-party claims provided.

The description states that CEL serves:

• Journalists
• Researchers
• Advocates
• Institutions
• Affected communities

It is described as being designed for users who need to inspect, verify, and responsibly use public records related to civil rights in higher education.

Evidence Self-reported by the author. No explicit ICP defined beyond these user groups.

The description states:

• CEL does not rank universities
• It does not calculate safety scores
• It does not turn allegations into conclusions
• It focuses on making evidence accessible and verifiable

There is no mention of pricing, monetization, or business model in the provided text.

Evidence Not evidenced. The author does not describe any revenue streams or pricing mechanisms.

The description states that:

• CEL was built with Codex as a development partner
• It uses rules for canonical record definition: resolved institution, supported claim, public source, precise locator, explicit limitations, and language that does not exceed the evidence
• Pipelines normalize records from inconsistent government and institutional sources
• Institution names are resolved, aliases, campuses, and duplicate entries are handled
• Exact provenance is preserved including document sections and workbook cells
• Aggregate statistics, allegations, official findings, and institutional responses are separated
• Records with ambiguous identities, unsupported claims, or privacy risks are rejected
• Structured feeds, reporting tools, APIs, and datasets are generated
• ProofGraphs are created for verifiable evidence
• Corrections and public history of changes are propagated

Evidence Self-reported by the author. No independent technical validation provided.

The description states:

• CEL received an Emergent Ventures grant
• At the time of the grant, a commitment was made to expand to tens of thousands of records within two months
• 10,000 canonical public records were reached in approximately ten days
• 150,000 accepted import-wave quality-assurance candidates
• 5,470 generated institution pages
• 10,000 verifiable ProofGraphs
• Exact source-cell verification for 6,000 newly promoted government records with zero mismatches
• Public correction, review, methodology, and responsible-use systems are implemented
• Structured feeds and reporting tools designed for journalists and researchers

Evidence Self-reported by the author. No independent validation or third-party traction data provided.

The description does not mention any direct competitors or competitive landscape.

Evidence Not evidenced. The author does not describe existing solutions or market positioning relative to others.

Inferences based on self-reported information:

• The project is built by a single founder (team size: 1)
• It relies heavily on AI tools like Codex for development
• There is no evidence of institutional partnerships, funding beyond a grant, or customer base
• The system's maturity and scalability are unproven in real-world use
• No pricing model or monetization strategy described
• The project appears to be in early stages with limited external validation

Evidence Self-reported by the author. No independent risk assessment provided.

1. What is the source of the 10,000 records? Are they primarily government or institutional documents?
2. How are you handling privacy concerns and data protection in your records?
3. Have you identified any specific institutions or organizations that are using or planning to use CEL?
4. What is the long-term sustainability plan for maintaining and updating the database?
5. How do you ensure the accuracy of records when they come from multiple sources with varying reliability?
6. What are the potential legal risks associated with publishing this type of information?
7. Can you provide examples of how journalists or researchers have used CEL so far?
8. What is your strategy for scaling beyond 10,000 records while maintaining quality standards?