ViEWS: a political Violence Early-Warning System
The ViEWS project started in January 2017 with funding from the ERC Advanced Grant scheme. It will develop, test, and iteratively improve a pilot Violence Early-Warning System (ViEWS) that is rigorous, data-based, and publicly available to researchers and the international community. ViEWS will provide early warnings for the three forms of political violence recorded by the UCDP: armed conflict involving states and rebel groups, armed conflict between non-state actors, and violence against civilians, and apply these to specific actors, sub-national geographical units, and countries. Early warnings for forced population displacement will be added as a fourth category. Core tasks of the ViEWS project will be to add detailed geographical information, link to the other levels of analysis in the system, and iteratively improve the forecasts by means of out-of-sample evaluation and Bayesian Model Averaging.
- ViEWS featured in the November/December issue of MIT Technological Review
- Open Access - ViEWS overview article in Journal of Peace Research
- Policy Dialogue Day
- New blog post in Monkey Cage: "U.N. peacekeeping really can be effective."
- First public forecasts from ViEWS: a political Violence Early-Warning System
- Unfortunately there are no upcoming events at this time
ViEWS receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no 694640). ViEWS computations are performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX).