The session, chaired by Eero Siivola (Syke) delved into specialized applications of AI and machine learning in environmental research, building on the foundations laid by the first seminar. The presentations highlighted diverse projects, including air quality forecasting, biodiversity monitoring, and agricultural productivity assessment, showcasing innovative methodologies and solutions to pressing environmental challenges.
Key highlights included:
- Prof. Jibran Khan (Aarhus) on insights into forecasting street-level NO₂ and PM₂.₅ in Copenhagen.
- Dr. Kevin Darras (INRAE) on nationwide monitoring of bird and bat populations using passive acoustic monitoring and deep neural networks.
- Dr. Loïc Dutrieux (EC Europa) on exploration of trends and challenges in environmental monitoring with AI.
- Dr. Marco Rogna and MSc Ana Klinnert (EC Europa) on their work on emulating large-scale crop growth in Sub-Saharan Africa through machine learning.
The final session, led by Dr. Kristian Meissner (Syke) and Dr. Giulia Salvini (WUR) opened up new avenues for collaboration, with participants expressing interest in working together on topics discussed in both the first and second seminar. To support this enthusiasm, we’ve created an online document where participants can further develop these collaborative ideas. This platform is ideal for researchers building consortia for upcoming EU funding calls or exploring new research ideas to form partnerships.
Thank you to all the speakers and participants for your contributions and enthusiasm. Together, we are shaping the future of AI and environmental science through collaboration and innovation!
Stay tuned for updates on the progress of these collaborations and future seminars!