Knowledge Graphs, AI Services and Next Generation Instrumentation for Research and Development in Social Sciences and Humanities
GRAPHIA’s vision is to improve SSH data quality, actionability and interoperability, accelerating the integration of SSH insights into innovative, industry-driven applications.
Through the creation of the first comprehensive Knowledge Graph for SSH enriched with Artificial Intelligence and Large Language Models applications, GRAPHIA will transform SSH data into a more machine-readable and actionable format, significantly improving SSH data visualisation and analysis capacities, empowering researchers to uncover patterns and insights from unstructured data, illuminating social phenomena and cultural trends.
Calendar : 2025 – 2027
Funding : European Commission (HORIZON-INFRA-2024-TECH-01)
Partners :
- OPERAS
- The National Research Council (CNR)
- The Cyprus Institute
- e-Science Data Factory (SDF)
- Foxcub
- Genius Loci
- Leibniz Institute for the Social Sciences (GESIS)
- Institute of Literary Research of the Polish Academy of Sciences (IBL-PAN)
- Industry Commons Fondation (ICF)
- Royal Royal Netherlands Academy of Arts and Sciences (KNAW)
- KU Leuven
- Net7
- OAPEN
- Odoma
- Poznan Supercomputing and Networking Centre (PSNC)
- Leibniz Information Centre for Science and Technology University Library (TIB)
- Alma Mater Studiorum – Università di Bologna (UNIBO)
- Abertay University (AU)
- Leibniz Universität Hannover (LUH)
Role of MAP : Partenaire du projet
Contact : Anthony PAMART, Adeline MANUEL
Website : https://graphia-ssh.eu/