Campus Alert Archive
A Benchmarking Resource for Campus Emergency Managers
The exact words universities choose when lives are at stake
A continually growing archive of real campus emergency alerts, working to capture each one in its exact, original wording. It is built to be exported and dropped into your own AI tools for analysis, and it keeps expanding over time as AI adds new, sourced cases.
For emergency managers, communications officers, journalists, and researchers, or anyone curious how institutions actually word the message when it matters most.
The archive at a glance
Of those, 1,431 (24%) are reproduced verbatim from a primary source, with the exact wording confirmed. We are continually working to raise that share as more official alert archives are recovered.
Growing continually as AI adds new, sourced cases · 1934–2026 · full statistics
How it works
- Step 1
Browse & filter
Filter the archive by incident type, state, era, and source quality to find exactly the alerts you care about.
- Step 2
Export the data
Download what you see as CSV, Excel, or JSON, with the full verbatim alert text and a source link for every message.
- Step 3
Analyze with your own AI
Upload the file to Claude, ChatGPT, or Google NotebookLM and ask your own questions of real, word-for-word crisis communication.
Where the original wording is confirmed, an alert is stored exactly as it was sent, typos and all; the rest are carefully reconstructed from primary-source coverage and clearly labeled as such. Either way, every case links to its sources so you can verify any claim.
Archive last updated June 2026
Take the data with you
Download it all, then analyze it your way
Every case, every sequenced alert, every citation, free to export in one click. Pull the whole archive or just the slice you filtered, then drop it into Claude, ChatGPT, a notebook, or a spreadsheet and ask your own questions.
- The verbatim text of every alert (1,431 confirmed word-for-word, 6,027 messages in all), one row per message.
- A source URL for every alert, plus channel, timestamp, confidence, casualties, and Clery category, so anything is checkable.
- Choose your depth: a quick case summary, the full verbatim-alert grain, or everything, in CSV, Excel, or JSON.
CSV
Universal, opens anywhere, ideal for AI tools.
Excel
Pre-sized columns, frozen header, ready to pivot.
JSON
Full nested structure: alerts, sources, annotations.
New here? How to analyze it
Export a file, upload it to an AI tool, then ask away.
Free tools that can read your export: Google NotebookLM, ChatGPT, and Claude. Upload the CSV or JSON you downloaded, paste one of these starters, and go from there:
“I've uploaded a dataset of real, verbatim US campus emergency alerts. Walk me through the common phrasing patterns institutions use in the very first message of an active-threat alert, with real examples.”
“Using only the verbatim alert texts in this file, show me how all-clear messages are typically worded, and quote a few real examples.”
“From these real alerts, help me draft a clear, plain-language shelter-in-place notification, grounded in how actual campuses worded theirs.”
These are just starting points. The data is yours to question however you like.
Recently added
- Apr 30, 2026
Northwestern
Second Northwestern Construction Fatality in Nine Months: Thomas Barcy Falls Four Stories at Kellogg Site
- Apr 24, 2026
ISU
Bus Duct Explodes in Hamilton Hall Basement, Knocking Out Power to Three East Campus Buildings and Triggering Smoke Evacuation
- Feb 6, 2026
UMN
Two-Alarm Fire and Explosion Rock UMN Steam Plant That Heats 94 Minneapolis Campus Buildings
Built almost entirely by AI
See how this is built, and help build it
Almost every case here was researched, written, and fact-checked by AI, with very little human input. The page explains how, in plain language, and if you have a Claude Code plan, it hands you ready-made prompts for two ways to help, so you can contribute in essentially one paste. No knowledge of the codebase needed.