About the WorkshopIn collaboration with ACM SIGSPATIAL, we are pleased to announce the call for papers for GeoWildLife 2023, a workshop dedicated to bridging the gap between AI-enabled spatio-temporal data analytics and wildlife conservation.
The primary objective of this workshop is to advance the state-of-the-art in AI-driven spatio-temporal data analysis for wildlife conservation. By connecting computer scientists, geospatial scientists, ecologists, and conservation practitioners, the workshop seeks to promote interdisciplinary collaboration and drive real-world impact. Through a series of keynote presentations, panel discussions, and interactive sessions, participants will explore various topics including remote sensing technologies, predictive modeling, movement ecology, species distribution modeling, habitat quality assessment, and mitigating human-wildlife conflict. Special focus will be given to ethically and responsibly harnessing AI to ensure the sustainability of conservation efforts.
Accepted papers will be included in the workshop proceedings, which will be published in the ACM Digital Library. At least one author of each accepted paper must register for the workshop and present the paper. We also offer authors the option to opt out of the proceedings. Such papers will be published on the workshop’s website and will not be considered archival for resubmission purposes.