Objective
The challenges of preventing, mitigating, and adapting to large-scale political violence are daunting, particularly when violence escalates where it is not expected. Early-warning systems of sufficient quality and transparency do not exist, limiting the ability of the international community to effectively assist affected populations. We propose to 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. This objective is challenging but feasible. The conflict research community has laid the ground for such a system through careful isolation of theoretically manageable sub-components of complex phenomena, and concomitant systematic, disaggregated data collection efforts. A major innovation in the project is to integrate these isolated research programs into a theoretically and methodologically consistent forecasting system, by means of dynamic simulation techniques in combination with Bayesian Model Averaging, and guided by continuous out-of-sample evaluation. This integration effort will not only allow an early-warning system of unprecedented scope and performance, but also build theoretically informative bridges between numerous compartmentalized conflict research programs. Concentrating on theoretical and methodological development, the pilot will be limited in scope to Africa but be scalable. ViEWS will provide early warnings for four forms of political violence: armed conflict involving states and rebel groups, armed conflict between non-state actors, violence against civilians, and forced population displacement, and apply these to specific actors, sub-national geographical units, and countries. Led by Håvard Hegre, the system will leverage the data resources within the Uppsala Conflict Data program, the world-leading provider of conflict data, in combination with a strong team of highly experienced conflict scholars.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-ADG - Advanced Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2015-AdG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
751 05 Uppsala
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.