The Biodiversity Observatory Automation Working Group aims to review and update the requirements for effective biodiversity assessment in an era of unprecedented environmental change and biodiversity loss. Biodiversity assessment faces several challenges, including time-intensive fieldwork, demanding post-fieldwork data processing, and storage limitations. However, advancements in data collection automation, increasing computational power, and the integration of artificial intelligence offer promising solutions.
The first international meeting on this topic was held in Slovenia in April 2024, bringing together experts to share key achievements, address obstacles in monitoring and observational methods, and discuss the needs and concerns of various stakeholders.
The Working Group will explore modern approaches for biodiversity monitoring and detection, ranging from aerial observations to eDNA analysis. Efforts will focus on optimizing data collection, improving data curation and exploration, leveraging artificial intelligence, and applying FAIR data principles to enable the creation of digital twins.
Through these initiatives, the group aims to advance biodiversity monitoring methods and address current gaps to support effective responses to global environmental challenges.
Key Objectives
To be announced.
Coordinators
To be announced.
Timeline
To be announced.