Equipping communities
with tools for change.

We utilize a public health approach to design, test, and scale-up evidence-based tools and intervention strategies to prevent hate, bias, and extremist radicalization.

How We Work

Empowering Resilience in Youth and Communities

PERIL is an applied research lab preventing radicalization to violent extremism by fostering community resilience.

We design, test, and scale-up evidence-based tools and strategies using a public health approach.

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Our Approach

Tools

Produce Evidence

Design and test online and offline interventions to build resilience and reduce vulnerability to supremacist ideologies, misinformation, disinformation, propaganda, and conspiracy theories.

Networking

Create Public Impact

Share evidence and academic findings with policymakers and the public through reports, handbooks, op-eds, media appearances, testimony, agency briefings, lectures, and more.

Cultivate Next-Gen Leadership

Mentor, coach, and cultivate a diverse next generation of students and junior researchers who will help transform the prevention and intervention space.

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We are committed to providing evidence of what works and sharing it, along with our methodologies and tools.

All of our tools and videos are tested through pre- and post-testing and/or with comparison groups, and are designed with rigorous research from the ground up- nationally representative surveys, focus groups and listening sessions with practitioners, interviews, and participant observation.

All PERIL interventions are tested for effectiveness, typically on survey-based platforms using either pre- and post-testing or comparison groups. We use that evidence to ensure the effectiveness of the tools and to develop messaging to help inform communities about tools that can help them.

We have demonstrated that it is possible to meaningfully improve communities’ awareness and ability to intervene with a person who is exposed to harmful online content in as little as seven minutes of reading, and in videos as short as 30-seconds.

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