AI for Climate & Conservation

Program Description

The program brings together Danish AI and domain researchers working in biodiversity conservation and environmental monitoring. Through this program, the aim is to establish even stronger ties between academic and industrial stakeholders, disseminating recent advances in relevant AI techniques and identifying domain specific problems where AI can support domain experts.

In recent years there has been an immense increase in AI for climate and conservation, through advances in expert tasks such as biodiversity monitoring and land coverage estimation, as well as core methodological areas such as open world learning and fine-grained categorization. While prior research has to a large extent focused on image-based data sources, the program aims to also incorporate diverse modalities, such as biodiversity soundscapes, textual description, the use of DNA (e.g. DNA barcodes and environmental DNA), and potential multimodal approaches.

Through this program, the goal is to cultivate research within these fields further by bringing together researchers and practitioners. By actively including practitioners, who may or may not already be utilizing some form of AI, the aim is to ground future research efforts at P1 in urgent real world problems which require fundamental AI breakthroughs. It will also encourage the responsible development and use of AI, by including end-user stakeholders.