About

A public record, not a campaign.

Campus Evidence Lab is an open-source public evidence project that turns scattered civil-rights records into structured, auditable datasets.

Mission

The project exists to preserve source-backed institutional memory. It begins with campus antisemitism and related public civil-rights records, while the data model supports broader civil-rights categories.

Operating Boundaries

• Public sources only.
• Human review before publication.
• Neutral, attributed language.
• No private evidence collection in the MVP.
• No school rankings or safety scores in the MVP.

Founder Note

The project was motivated by direct experience with antisemitism and a belief that serious public problems require disciplined infrastructure, not outrage-first publishing. The first dataset is intentionally evidence-first and constrained.

Why This Starts Narrow

The first public wedge begins with campus antisemitism and related public civil-rights records because a focused dataset is easier to review carefully. The architecture supports broader civil-rights categories so expansion can happen through the same source standards, correction process, and audit trail.

Open-Source Commitment

The MVP is designed to operate through static files, public issue templates, validation scripts, and reviewable pull requests. Dataset changes should remain inspectable, source-backed, and reproducible without paid infrastructure.

Contact and Contributions

• Submit a public source or correction.
• Review the methodology before contributing.
• Inspect current impact and public-use signals.
• Read public product updates and weekly improvements.
• Review the trust packet before outside outreach.
• Read the press / research brief for reporting context.
• Check the current public acknowledgment status.
• Use the reviewer brief for outside critique.
• Use the journalist guide before citing or comparing records.
• Read the contributor guide before opening an issue.
• Read the research guide before citing or comparing records.
• Build a local citation packet from selected records.
• Inspect the reviewer queue for priority audit samples.
• Download the current dataset and schemas.

Use

The dataset is built for students, families, journalists, researchers, campus organizations, and contributors who need a source-backed starting point for further review.