ITS1.10/ESSI1.1 | Leveraging AI for Data-Driven Environmental Policy: Collaborative Innovations Across European Agencies
Leveraging AI for Data-Driven Environmental Policy: Collaborative Innovations Across European Agencies
Convener: Robert Wagner | Co-convener: Christoph Wohner

In an era where environmental challenges are increasingly complex, the integration of artificial intelligence (AI) into data-driven approaches is transforming how we understand and address these issues. This session aims to bring together professionals from national and regional agencies across Europe who are leveraging AI technologies to enhance environmental research and policy-making.
We invite participants to share their experiences, case studies, and innovative applications of AI in environmental monitoring, data analysis, and policy development. A key focus will be on how to build the necessary infrastructures and frameworks that facilitate the effective implementation of AI applications to support policy-making processes.
Key topics may include:

- Developing robust data infrastructures for AI integration
- AI applications in real-time environmental monitoring
- Creating collaborative frameworks for sharing AI-driven insights across agencies
- Strategies for overcoming challenges in implementing AI technologies in environmental contexts
- The role of AI in data-driven policy consulting and its impact on sustainability

By fostering interdisciplinary dialogue and collaboration, this session aims to identify best practices, explore new opportunities, and enhance the collective capacity of European agencies to address pressing environmental challenges through the power of AI. Join us in shaping the future of environmental policy and research in Europe!

In an era where environmental challenges are increasingly complex, the integration of artificial intelligence (AI) into data-driven approaches is transforming how we understand and address these issues. This session aims to bring together professionals from national and regional agencies across Europe who are leveraging AI technologies to enhance environmental research and policy-making.
We invite participants to share their experiences, case studies, and innovative applications of AI in environmental monitoring, data analysis, and policy development. A key focus will be on how to build the necessary infrastructures and frameworks that facilitate the effective implementation of AI applications to support policy-making processes.
Key topics may include:

- Developing robust data infrastructures for AI integration
- AI applications in real-time environmental monitoring
- Creating collaborative frameworks for sharing AI-driven insights across agencies
- Strategies for overcoming challenges in implementing AI technologies in environmental contexts
- The role of AI in data-driven policy consulting and its impact on sustainability

By fostering interdisciplinary dialogue and collaboration, this session aims to identify best practices, explore new opportunities, and enhance the collective capacity of European agencies to address pressing environmental challenges through the power of AI. Join us in shaping the future of environmental policy and research in Europe!