VIEWS
Predicting conflict & humanitarian impacts
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VIEWS
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Website & Data Access
Forecasting Tool
Forecasting Tool
Explore the VIEWS forecasts in the interactive data visualization tool” instead of “Views prediction app
viewsforecasting.org
viewsforecasting.org
Open-source project leveraging AI to predict armed conflict 1-36 months ahead across the globe. New forecasts released every month.
VIEWS on HDX
VIEWS on HDX
Explore 193 humanitarian datasets from the Violence & Impacts Early-Warning System on HDX. Access critical data supporting disaster relief, crisis response, and recovery efforts worldwide.
MLOps Pipeline & Codebase
views-platform
views-platform
This GitHub organization hosts the ML forecasting platform of VIEWS, including all code and tools used for conflict prediction. - views platform
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The Violence & Impacts Early-Warning System (VIEWS) is a an academic research consortium jointly led by Uppsala University and Peace Research Institute Oslo. It unites a diverse range of research initiatives dedicated to exploring novel methodologies for forecasting violent conflict as well as the its impacts on society and human development. The consortium offers an award-winning prediction system that systematically monitors hundreds of structural drivers and complex conflict dynamics, and generates monthly predictions of impending conflict across the world – for each country and sub-national location up to three years into the future. To learn more about VIEWS and its three sub-projects, please visit https://viewsforecasting.org.
Featured Publications
Vesco et al. (2025). The impacts of armed conflict on human development: A review of the literature
Vesco et al. (2025). The impacts of armed conflict on human development: A review of the literature
The detrimental impacts of wars on human development are well documented across research domains, from public health to micro-economics. However, thes…
Hegre et al. (2025). The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
Hegre et al. (2025). The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
Philipp et al. (2024). Policy Insight 135: Harnessing AI: How to develop and integrate automated prediction systems for humanitarian anticipatory action
Philipp et al. (2024). Policy Insight 135: Harnessing AI: How to develop and integrate automated prediction systems for humanitarian anticipatory action
UNHCR (2022). Moving from Reaction to Action Anticipating Vulnerability Hotspots in the Sahel.
UNHCR (2022). Moving from Reaction to Action Anticipating Vulnerability Hotspots in the Sahel.
Theisen et al. (2021). Understanding the potential linkages between climate change and conflict in the Arab region.
Theisen et al. (2021). Understanding the potential linkages between climate change and conflict in the Arab region.
Host Institutions
Department of Peace and Conflict Research - Uppsala University
Department of Peace and Conflict Research - Uppsala University
Peace Research Institute Oslo (PRIO)
Peace Research Institute Oslo (PRIO)
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