Project description
AI-driven solution for conflict analysis and prediction
Conflict analysis and prediction are crucial for preventing and managing crises worldwide. They help reduce tension, protect populations, and safeguard quality of life and economic stability. Unfortunately, the increasing complexity of our world makes this job increasingly challenging to do efficiently and accurately. The ERC-funded AICAP project will develop a revolutionary solution, including several key practical tools, to improve conflict prediction and risk estimation. To achieve this, it will research and analyse patterns driving conflict escalation, develop novel practical tools and interfaces, and an innovative AI-driven predictive model. Finally, the project will collaborate with specialists and developers to ensure accuracy and efficiency.
Objective
AICAP (Artificial Intelligence for Conflict Analysis and Prediction) aims to revolutionize conflict prediction and risk estimation by turning fundamental ideas into practical tools. Leveraging advanced AI and multi-scale temporal pattern analysis, AICAP intends to create a predictive model outperforming existing methods in forecasting conflict escalation and risk.
The project's objectives are to: (1) identify and analyze patterns driving conflict escalation across time scales and regions, (2) create an AI-driven predictive model incorporating temporal and cross-regional analysis, and (3) develop practical tools and user interfaces, such as interactive dashboards for a wide range of users. Our multidisciplinary team of experts in conflict studies, AI, and data science will partner up with market analysts, business developers and IPR specialists to ensure the project's success. AICAP's value proposition lies in translating cutting-edge research into tangible, actionable insights for governments, companies, NGOs, and media corporations.
Applications include early warning systems for governments, enabling proactive diplomacy and strategic resource allocation; targeted interventions for NGOs, optimizing humanitarian aid and conflict resolution efforts; political risk assessment for insurance companies, enhancing risk modeling and pricing strategies; informed investment decisions for multinational corporations, minimizing exposure to geopolitical uncertainty; and data-driven reporting for media corporations, delivering insightful, accurate, and timely conflict analysis to inform public discourse and decision-making.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences political sciences political policies civil society civil society organisations nongovernmental organizations
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.1.1 - 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.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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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-2025-POC
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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.
D02 CX56 Dublin
Ireland
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.