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.

UPDATES

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