Geospatial data and analysis are critical for conservation, from planning to implementation and measuring success. The Geospatial group focuses on all aspects of this field, from field surveys to remote sensing and data development/analysis to GIS systems. The ability to visualize and analyze spatial data underpins many areas of conservation, this group may serve as a landing point and gateway for those new to conservation technology. 

This group is for anyone interested in open source technologies for ecology and conservation. We welcome contributions from both makers and users, whether active or prospective. Here, we believe that open source hardware, software, and data are key to conducting both rigorous and honorable science and research. It is a place to share novel or existing technologies, exchange resources, discuss new projects, ask for advice, find collaborators, advocate for adopting open source technologies, and share strategies for making them sustainable. Open Source Solutions naturally overlaps with existing WILDLABS groups, and we aim to embrace this overlap while maintaining our unique space for growth of Open Source Solutions as a priority in conservation science.

Technology is changing and evolving faster than ever, and as it does, our community members are looking for the next big thing to revolutionize their conservation tech work. To chat about your favorite new tools that are just emerging in the field and discover innovations you haven't yet heard of, join this group!

Conservation tech work doesn't stop after data is collected in the field. Equally as important to success is navigating data management and processing tools. For the many community members who deal with enormous datasets, this group will be an invaluable resource to trade advice, discuss workflows and tools, and share what works for you.

Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.