PRIO
Conflict Prediction and Humanitarian Impact Early Warning System
© UNOCHA | Joel Opulencia
ABOUT
Developed by the Peace and Research Institute Oslo (PRIO) and Uppsala University, the Violence and Impact Early Warning System (VIEWS-PIN) is an innovative research initiative that applies machine learning, advanced statistics, and vast datasets to predict conflict-driven humanitarian needs up to three years into the future. VIEWS-PIN is designed to strengthen decision-making, including on resource allocation and programming with the goal to reduce human suffering. It champions transparency and responsible data handling, by providing interpretative tools and analytics to convey predictions to across all Low and Middle-Income Countries (LMICs).
All LMICs
$700,000
24 months
PROJECT OBJECTIVES
DEVELOP
A predictive model that helps CRAF’d partners to assess evolving humanitarian need, enhancing anticipation, prevention, and response to crises.
PROVIDE
Country-specific risk levels, identifying critical risk combinations that may lead to potential crises, enabling targeted crisis action.
FACILITATE
User-centric data exploration through an open-source web interface designed for immersive data exploration and feedback collection.
IMPACT AT SCALE
With crucial CRAF'd support, VIEWS-PIN is well-positioned to reshape global humanitarian needs forecasting, enabling CRAF'd partners to reach people in fragile and crisis-affected settings earlier, faster, and in a more targeted and dignified manner. CRAF'd support is instrumental in strengthening VIEWS-PIN's data infrastructure, incorporating longitudinal surveys to advance localized predictions across all Low and Middle-Income Countries. This innovative tool enhances our understanding of compound shocks, referring to the combined impact of climate hazards and armed conflicts, and provides geographically detailed forecasts.
10K
Datasets and analytical tools produced and publicly available.
500
Publications that feature VIEWS-PIN insights.
1,000
Users per month that leverage VIEWS-PIN for decision-making, resource allocation and programming.