EcoDL 2025: AI & Digital Libraries for Ecological Research
EcoDL 2025 workshop explores AI, digital libraries, and FAIR data principles in ecological research for improved knowledge synthesis and predictive modeling.
EcoDL 2025, the 1st Workshop on Digital Libraries and AI-based Information Systems for Ecological Research and Practice, is now open for submissions. This workshop aims to explore the integration of AI, digital libraries, and FAIR data principles in ecological research to improve knowledge synthesis and predictive modeling.
Researchers from ecology, AI, and digital information systems are invited to discuss AI-driven data synthesis, semantic search, causal inference, and machine learning applications in biodiversity and conservation. The workshop welcomes submissions on topics such as knowledge graphs, advanced search and retrieval, FAIR data principles, AI for assisting ecological research, and digital libraries and ecological informatics.
Submissions can be made in the form of long papers (up to 15 LNCS style pages) or short papers (up to 10 LNCS style pages). All accepted workshop papers will be published in the proceedings of the Springer series Communications in Computer and Information Science (CCIS).
Important dates include:
- Paper Submission: 16th May 2025 (AOE)
- Acceptance Notification: 20th June 2025 (AOE)
- Camera-ready Version: 10th July 2025 (AOE)
- Workshop: 23rd September 2025 in Tampere, Finland
The EcoDL 2025 Workshop is collocated with the 29th International Conference on Theory and Practice of Digital Libraries (TPDL 2025). For more information, please visit the workshop website: https://sites.google.com/view/ecodl2025/
Tags: EcoDL 2025, AI, Digital Libraries, Ecological Research, FAIR Data Principles, Knowledge Synthesis, Predictive Modeling