Using AI to extract Value from Big Data to inform European Environmental Policies
Session Abstract:
Europe is rapidly advancing toward its climate neutrality goals, driven by groundbreaking innovations in data technologies and artificial intelligence. This session explores the critical intersection of big data infrastructure, the evolving Green Deal Data Space, and AI-driven predictive modelling. It highlights how interoperable environmental and regulatory data ecosystems can actively mitigate climate change, monitor biodiversity losses, and build sustainable, resilient policies. Bringing together industry professionals, researchers, and policy-makers, this session tackles the technical and operational challenges of environmental data sharing. The session showcases breakthroughs from European big data and policy initiatives, demonstrating how scalable AI workflows can process complex scientific observations to optimize environmental integrity. Key
Discussion Topics:
- Green Deal Data Space Operationalisation: Navigating cross-border data sovereignty, architectural interoperability, and trust frameworks to create shared environmental data ecosystems.
- AI-Driven Climate Intelligence: Deploying machine learning models and predictive analytics.
- Industrial & Policy Synergy: Unlocking value from public environmental datasets while supporting the rigorous monitoring demands of EU policies.
- From Sensor to Decision: Addressing data quality, edge-computing limitations, and standardization challenges in processing massive volumes of IoT and Earth observation data.
Target Audience:
- Data scientists and AI researchers building environmental or scientific workflows.
- Enterprise sustainability officers, business developers, and technology providers.
- Public sector representatives, smart city planners, and environmental policy-makers.
- Innovators and coordinators from EU-funded consortiums.
Expected Takeaways: ·
- A clear understanding of the architectural building blocks needed to participate in the European Green Deal Data Space.
- Actionable strategies to integrate public and proprietary environmental data into corporate ESG (Environmental, Social, and Governance) platforms.
- Insight into upcoming funding opportunities, research priorities, and technological gaps in AI for environmental science.
- The workshop investigates the evolving two-way relationship between AI and our environment
Agenda
- Welcome and introduction: Niall Ó Brolcháin
- Introducing the European Peatland Policy Portal and how it uses AI and Big Data to inform policies
- Presentation by Al Waskow – EU Peatland Policy Portal – DSI
- Q&A with audience
- Presentation by John O’Sullivan – Derrighter Farm
- Q&A with audience
- Presentation by Torsten Bondo – DHI Gras Denmark
- Q&A with audience
- Panel discussion
