SubsidieMeestersViEWS – a political Violence Early Warning System
The project aims to enhance the ViEWS political violence early warning system's societal impact and financial sustainability through user-centric evaluation and open-access strategies.
Projectdetails
Introduction
This application presents a plan to explore the societal potential and financial viability of ViEWS – a political Violence Early Warning System, which has been developed as part of the ERC-AdG project no. 694640 at the Department of Peace and Conflict Research, Uppsala University, and Peace Research Institute Oslo (PRIO).
Overview of ViEWS
It is a rigorous and transparent prediction system of unprecedented scope and performance that is positioned at the forefront of research on theoretical and methodological foundations for high-quality forecasts of political violence.
Research Application
The proposal describes how the research from the AdG project, as well as research conducted as extensions to the AdG project in collaboration with the UNHCR, UN ESCWA, and UK FCDO, can be applied to maximize the usefulness of the forecasting system for individuals and organizations that are dedicated to conflict prevention and mitigation.
At the same time, it aims to strengthen the system’s focus on transparency and open-access publication strategies.
Planned Activities
Planned activities include:
- Measures to solidify ViEWS’ reputation as a high-quality open-source early-warning system.
- Strategies to transform ViEWS into a financially viable and self-sustaining entity.
- Concerted efforts to clarify our IPR position and strategy.
- Incorporating recent user-specified developments into the early-warning system built under the AdG project.
- Applying a user-centric approach to evaluate the predictive performance of the forecasting system as a complement to current evaluation metrics.
- A number of activities aimed at assessing, validating, and maximizing the usefulness of the project's outcomes to the full target audience.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 150.000 |
| Totale projectbegroting | € 150.000 |
Tijdlijn
| Startdatum | 1-9-2022 |
| Einddatum | 29-2-2024 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- INSTITUTT FOR FREDSFORSKNINGpenvoerder
Land(en)
Geen landeninformatie beschikbaar
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Anticipating the impact of armed conflict on human development
This multidisciplinary project analyzes the comprehensive impacts of armed conflict on human development, aiming to create an early-warning system and policy recommendations to mitigate vulnerabilities.
Toward an epidemiology of gynaecological violence
GYNVEPI aims to establish a comprehensive understanding of gynaecological violence through an intersectional epidemiological approach, ultimately improving women's health care experiences.
Disentangling and Preventing Economic Violence against Women
The ECOVI project aims to assess the prevalence and drivers of economic intimate partner violence in India, developing a community-based prevention approach to empower women and improve their welfare.
VIrtual GuardIan AngeLs for the post-truth Information Age
The VIGILIA project aims to develop AI-driven tools to detect cognitive biases in information processing, mitigating the effects of misinformation and enhancing trust in society.
Early warning systeM for soil dEgRadation: a statistical physics Approach to cLimate change aDaptation
The EMERALD Proof of Concept aims to develop a scalable soil fertility monitoring method using statistical physics to combat soil degradation and enhance climate change adaptation for agriculture and land use.
Vergelijkbare projecten uit andere regelingen
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D-Cypher
D-Cypher onderzoekt de haalbaarheid van een AI-platform voor efficiënte beveiliging en veiligheid op evenementen.
Early Warning System 2.0 for countering Improvised Explosive Devices (IEDs)
Het project ontwikkelt een geautomatiseerd systeem voor IED-detectie om de veiligheid van de Nederlandse krijgsmacht te verbeteren.
BIRDS: Beschermd, Intelligent, Rondom Detectie Systeem
Het BIRDS-project ontwikkelt een 360-graden detectiesysteem voor bemande en onbemande gevechtsvoertuigen, ter verbetering van situationeel bewustzijn en veiligheid in vijandige omgevingen.
VIRus IDentificatie (VIR-ID)
Ontwikkeling van een gebruiksvriendelijk early warning systeem voor virale uitbraken dat snel resultaten biedt zonder medische training.
Risk Signal
Het project onderzoekt de haalbaarheid van een machine learning-applicatie voor het signaleren van gevaarlijke situaties in bedrijfsomgevingen om incidenten te voorkomen.