The Mission of the Unit is to aggregate, connect, and visualize data aligned with the Climate Hub’s objectives across five components:
Its overarching aim is to deepen the understanding of the science, technology, and innovation (STI) landscape for climate research and policy-making, by globally monitoring research activities, engaging with the key actors involved, assessing the ensuing societal and economic impacts, assessing and mapping out policy uptake across administrative scales and internationally, through interdisciplinary and intersectoral approaches.
The Unit pioneers cutting-edge AI applications across strategic domains that the GCH relates to (Earth System Modelling, Climate Dynamics and Predictions, Remote Sensing and Geospatial Applications, Ecosystems and Biodiversity, Economics, Policy and Society). Further, the Unit contributes to the creation of DSS, Spatial Computing / AR / VR / GeoAI applications and Digital Twins. In these efforts, the systematic integration of data and models is central in elucidating the research processes involved and in supporting evidence-informed decision-making.
Learn more about the work of the Unit in the following presentation
IntelComp: A Competitive Intelligence Cloud/HPC Platform for AI-based STI Policy Making
Leading Member, Prof. Phoebe Koundouri, “Athena” Research and Innovation Center
OpenAIRE – CONNECTing scientific results in support of Open Science
PI, Natalia Manola, “Athena” Research and Innovation Center
PI, Prof. Phoebe Koundouri, International Centre for Research on the Environment and the Economy (ICRE8)
PI, Prof. Phoebe Koundouri, International Centre for Research on the Environment and the Economy (ICRE8)
Association for Computing Machinery ACM, the world’s largest educational and scientific computing society, delivers resources that advance computing as a science and a profession.
TReNDS: Thematic Research Network on Data and Statistics
An initiative of the UN Sustainable Development Solutions Network, the Thematic Research Network on Data and Statistics (TReNDS), mobilizes technical and policy-oriented solutions to advance the data revolution for sustainable development.
Its vision is to transform society through validated scientific knowledge and allow citizens, educators, funders, civil servants and industry to find ways to make science useful for themselves, their working environments and society while its mission is to shift scholarly communication towards openness and transparency and facilitate innovative ways to communicate and monitor research.
Koundouri, P., Feretzakis, G., & Alamanos, A. (2025). Integrating AI into Energy Systems: The Approach of the Global Climate Hub. Link
Koundouri, P., Aslanidis, P., Dellis, K., Feretzakis, G., & Plataniotis, A. (2024). Uncovering the SDG Content of Human Security Policies Through a Machine Learning Web Application. Link
Koundouri, P., Alamanos, A., Plataniotis, A., Stavridis, C., Perifanos, K., & Devves, S. (2024). Assessing the Sustainability of the European Green Deal and Its Interlinkages With the SDGs. Link