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Summary
Hosted by AGCI in July 2024, this interdisciplinary workshop brings together AI experts and ecologists to identify data, infrastructure, and methodological gaps limiting AI’s impact on biodiversity conservation. It explores the need for robust biodiversity monitoring systems and integration of remote sensing with field data. The event addresses bottlenecks such as lack of standardization and data quality, and promotes collaborative solutions to scale AI tools responsibly for ecosystem monitoring and decision support.
Relevant SDGs
How to use
Feature this workshop in advanced sustainability, conservation science, or technology courses. Use it as a case study to illustrate interdisciplinary collaboration challenges. Assign students to analyze identified barriers, then design mock project proposals that integrate AI with biophysical data collection plans. Incorporate follow-up discussions or assignments on standardization, ethics, and data infrastructure. Encourage teams to outline responsible deployment strategies for AI in biodiversity contexts, reflecting workshop conclusions.
Teaching format tip
Workshop
Facilitate hands-on learning through active participation and collaborative problem-solving. Students should engage in practical skill development while working with peers on authentic challenges. Use workshops to combine individual learning with group dynamics and immediate application opportunities.
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