GLOW trains the next generation of changemakers in systems thinking, evidence-based research, and AI applied to real public health challenges. In 8 weeks, you’ll go from learning the skills to producing work that real organizations use.
Each skill builds on the last. By the end of 8 weeks, you'll think in systems, interrogate evidence, work with real data, and communicate findings to people who make decisions.
Learn to see problems as the product of interconnected structures — not isolated failures. You'll build iceberg models, map feedback loops, identify leverage points, and trace root causes through established frameworks.
Feedback Loops, Root Cause Analysis, Leverage Points, Iceberg Model
Navigate real federal datasets. Build interactive dashboards with actual data. Prototype AI-enabled tools that make invisible patterns visible to decision-makers. Learn data visualization principles that drive action.
Dashboard Design, Federal Datasets, AI Prototyping, Data Visualization
Learn how to read a peer-reviewed study in 30 minutes, evaluate evidence quality, distinguish RCTs from observational studies, design interview protocols, and synthesize findings into actionable analysis.
Literature Review, Evidence Hierarchy, Interview Design, Data Evaluation
Draft nonpartisan policy briefs and evidence-based appeals that decision-makers actually read. Learn to present trade-offs honestly, frame recommendations for specific audiences, and translate research into language that moves people.
Policy Analysis, Nonpartisan Framing, Stakeholder Mapping, Presentation Skills
16 sessions across 8 weeks. Two per week: Sundays for deep learning, Thursdays for hands-on building. Each session teaches one core concept and immediately applies it to the problem.
These aren't school projects. They're board-ready assets designed for actual nonprofit partners, advocates, and decision-makers.
An interactive visualization built with real federal and state data, tracking 10+ indicators that help caseworkers, judges, and program directors make better decisions. Includes a technical spec for AI/ML enhancement.
An 8–10 page evidence-based analysis presenting policy options with trade-offs and recommendations. Cites 20+ peer-reviewed sources. Formatted for submission to advocacy organizations and legislative offices.
A data-grounded appeal with a clear theory of change, quantified impact projections, and actionable recommendations. Designed to support advocacy campaigns and inform policy conversations.
No prior research experience required. We select for drive, intellectual curiosity, and the desire to use your skills for something that matters.
who want rigorous research training applied to real problems
and are ready to commit 8 weeks to learning and producing
in the systems we study — your perspective is expertise
who want to develop skills in systems analysis and policy
Jun 21 – Aug 16, 2026
8 weeks, 16 sessions. July 4th weekend off.
Sundays & Thursdays
Sun 9:00–10:30 AM PT Thu 5:00–6:00 PM PT Plus 3–4 hrs async/week
100% Virtual
Live sessions via Zoom. Async work via Google Classroom and Discord.
Completely Free
GLOW operates on a volunteer model. No fees, ever.
Volunteer Experts
Led by experienced professionals in research, policy, design, and AI.
Completion + Co-Authorship
Receive a certificate and be named as co-author on published deliverables.
Applications are open for Summer 2026. No prior experience required —
just the drive to learn and lead.
Early Detection is the Best Protection—Pledge Now!
Early detection of breast cancer through regular screenings can save lives. Screenings help find cancer at an early stage when it is most treatable. By taking this pledge, you commit to prioritizing your health and encouraging others to do the same.
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