Evidence, guides and answers.

Reports, methodology, data-ethics documentation and answers to the questions partners and communities ask most.

Methodology

The CRSIF prevention model

How Observe → Enrich → Analyze → Act → Measure turns local signals into prevention intelligence.

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Data Ethics

Privacy & data governance overview

Our approach to data minimization, human review and aggregated, location-based reporting.

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Guide

A guide for school partners

What schools need to know to bring the Youth Road-Safety Ambassador Network to their students.

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Report

Why prevention beats reaction

The case for shifting community road safety from reacting after harm to preventing it earlier.

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Guide

For municipalities & MPP offices

How to scope a pilot and turn local evidence into fundable prevention plans.

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Media

Press & media kit

Logos, brand assets, founder bio and approved language for media and partners.

KitDownload

Resource library is being built out — content shown is a working draft pending final review.

Data Ethics

Trust is the product.

Everything CRSIF publishes is governed by one rule: we help communities see and prevent — never watch or punish. Our resources reflect that standard.

No individual driver identification
Aggregated, location-based reporting
Human review of AI-assisted analysis

Frequently Asked

Quick answers.

CRSIF helps communities understand road safety risk by combining public collision data, community observation, geography and AI-assisted analysis into reports, dashboards and prevention plans.

Stay close to the mission.

Occasional updates on pilots, programs and new resources. No noise.