Early Warning Project
The Early Warning Project assesses the risk of mass atrocities in countries around the world.
Genocide and mass atrocities are devastating crimes in their scale and scope, in their enduring psychic scars for survivors, and in the long-term trauma they cause in societies where they occur. Despite past efforts to address systematic killing, and a body of law formed after the Holocaust to prevent and punish perpetrators, such crimes persist.
We use quantitative and qualitative methods to spotlight countries where mass atrocities have not begun, but where the risk for such violence is high.
We strive to improve this early warning system for mass atrocities by using a variety of publicly available data and forecasting methods.
The Early Warning Project is a joint initiative of the Simon-Skjodt Center for the Prevention of Genocide at the United States Holocaust Memorial Museum and the Dickey Center for International Understanding at Dartmouth College.
Photo above: A SPLA-In Opposition soldier walks through the elephant grass in rebel-held Magwi county of South Sudan’s Eastern Equatoria state on August 28, 2017. USHMM/Jason Patinkin.
Latest Reports
Countries at Risk for Intrastate Mass Killing 2025–26: Early Warning Project Statistical Risk Assessment Results
Summary Handout | Countries at Risk for Intrastate Mass Killing 2025–26: Early Warning Project Statistical Risk Assessment Results
Major Developments and Worsening Risks for Mass Atrocities in Papua, Indonesia
Explore Our Analysis
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Statistical Risk Assessment
See countries ranked by risk of mass atrocities, and learn about countries that are most at risk.
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Methodology
Explore the methodologies we use to generate our Statistical Risk Assessments. These assessments estimate the likelihood of a new mass killing in more than 160 countries.
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Country Analysis
Read in-depth analysis of countries at risk, including Uganda, Chad, Indonesia, and South Sudan.
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Reports & Downloads
Find all reports from the Early Warning Project, download files, and access our data repository on GitHub.