# AI-BioDynamics: AI for Scalable Biodiversity Monitoring

Bilateral German-Korean project building a biodiversity monitoring platform that combines satellite, radar and citizen-science data with knowledge-guided deep learning, transfer learning and process mining.

- Type: Funded project
- URL: https://www.gyunam.com/funding/ai-biodynamics/
- Period: 2025 – 2029
- Kind: research
- Funder: German Federal Ministry of Education and Research (BMBF) and Korean Ministry of Science and ICT (MSIT), bilateral DE-KR programme
- Role: PI (German side); author of the German proposal and lead of the German consortium
- Total budget: EUR 1.3 M
- Partners: Fraunhofer FIT, Geo Engine GmbH, Seoul National University of Science and Technology, Kwangwoon University, Moonsoft Co. Ltd.
- Research lines: [Neuro-symbolic process learning](https://www.gyunam.com/research-line/neuro-symbolic-process-learning/index.md)

## Abstract

AI-BioDynamics builds a monitoring platform for biodiversity at scale. It combines satellite, radar and citizen-science data with knowledge-guided deep learning, transfer learning and process mining. I lead the German consortium at Fraunhofer FIT; the Korean partners are Seoul National University of Science and Technology, Kwangwoon University and Moonsoft, with Geo Engine GmbH on the German side.