Accepted Contribution

Citizen Science and Artificial Intelligence for Biodiversity Monitoring  
Julia Flister (Museum für Naturkunde - Leibniz Institute for Evolution and Biodiversity Science (MfN))

Send message to Author

Abstract

We are actively engaged in Citizen Science (CS) projects focused on biodiversity monitoring, including for example the annual “City Nature Challenge” in Berlin and the “IQ Water” project monitoring species diversity at German drinking water reservoirs. Our research explores how CS, technology like artificial intelligence, and policy can be effectively linked to improve biodiversity monitoring across diverse regions. We are particularly interested in understanding how local initiatives can contribute to broader networks, ensuring data quality, participatory engagement, and alignment with policy frameworks. In the workshop, we would like to share practical insights from these projects, discuss challenges in scaling and standardizing approaches. By participating, we aim to discuss strategies for connecting local and regional monitoring efforts, fostering long-term community engagement, and supporting informed decision-making across disciplines and sectors.

Workshop W12
Biodiversity monitoring and enforcement across centre and periphery: Exploring the interplay between citizen science, technology, law and policy