Objective
Peace and conflict research faces a fundamental representational challenge. While conflicts are inherently relational phenomena — involving multiple actors, contested territories, and competing narratives — our field remains constrained by tabular data structures that artificially resolve ambiguities and cannot efficiently represent relationships. This mismatch between conceptual understanding and data architecture has fragmented the field: researchers create parallel datasets rather than building cumulative knowledge, while the separation of data from definitions eliminates nuanced entity matching. The contested, multifaceted nature of social science concepts becomes flattened, undermining measurement validity and widening the qualitative – quantitative divide.
BRIDGE transforms this landscape by developing knowledge graph representations that preserve rather than suppress disagreements, enabling integration across quantitative datasets and qualitative findings. Unlike tabular formats, knowledge graphs explicitly model relationships, maintain multiple perspectives on contested concepts, and make conceptual and measurement choices computationally transparent. This approach bridges methodological divides and enables discovery across the fragmented research landscape.
By developing AI-enhanced methods to extract structured knowledge from research literature and construct these graphs, BRIDGE will fundamentally transform how peace and conflict knowledge is accumulated, integrated, and analyzed — moving from isolated datasets to interconnected, queryable knowledge that better reflects the complexity of conflict dynamics.
Fields of science (EuroSciVoc)
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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 - HORIZON ERC 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-2026-STG
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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.
0186 Oslo
Norway
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.