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Peace Research Institute Oslo

  • Posted on 22 Sep 2025

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    ERC: The Violence Early-Warning System

    VIEWS began as a pioneering research initiative to address a pressing global need: early, reliable, and actionable forecasts of political violence. The pilot project – then known as the political Violence Early-Warning System (ViEWS) – ran from 2017-2021, laying the technical and methodological groundwork for the system’s current operational form.

  • Posted on 16 Sep 2025

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    NRC: Uncertainty of Forecasting Fatalities (UFFAC)

    Building onto and expanding the Violence & Impacts Early Warning System (VIEWS), the UFFAC project sets out to develop prediction models that forecast the number of fatalities in armed conflict while carefully exploring and assessing the multiple sources of uncertainty thereof with each monthly release of new VIEWS data.

  • Posted on 16 Sep 2025

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    ERC: ViEWS Proof of Concept

    Funded by an ERC Proof-of-Concept grant, this project aimed to explore and enhance the societal relevance of ViEWS’ global and subnational conflict forecasts.

  • Posted on 16 Sep 2025

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    CRAF’d: VIEWS – People in Need

    VIEWS-PIN is an academic research project set to provide early warnings of the need for humanitarian assistance for all months in a rolling three-year forecasting window, for all Low and Middle Income Countries (LMICs).

  • Posted on 15 Sep 2025

    UNRWA building bombed during the war in Gaza

    ERC: ANTICIPATE

    ANTICIPATE is a multi-disciplinary research project directed by Professor Håvard Hegre. It brings together scholars from economics, epidemiology, political science, and conflict research to study the impacts of armed conflicts on human development – in close collaboration with researchers from the “Societies at Risk” project at Uppsala University.

  • Posted on 22 Jan 2025

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    GFFO: Prediction Challenge 2023/2024

    With the goal of improving the accuracy and certainty of our forecasts, we launched our second prediction competition in 2023. It challenged participants to forecast conflict intensity as a probability distribution over the outcome — thus taking the uncertainty of forecasts fully into account. Learn more about the prediction challenge, explore all forecasts from the…

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