The WILDLABS Community Base is the ideal place to get oriented with the all that our community platform offers, hear about news and opportunities, and to meet new friends and collaborators.

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.

The Animal Movement Group is a collaborative community dedicated to advancing the study, monitoring, and conservation of animal movement. It provides a space for researchers, practitioners, and innovators to exchange knowledge, explore bio-logging approaches and data, and address conservation challenges linked to species mobility.

Advancements in communications networks that connect sensors and enable data retrieval across landscapes are revolutionizing conservation fieldwork. As the infrastructure that helps our core tools talk to each other in even the most remote places, the importance of connectivity cannot be overstated. Whatever solutions you're working with - and on whatever scale - this group is the place to discuss all things related to connectivity in conservation, from fiber-optic cables to LoRa to Swarm. 

Used to pick up signals from tracking gear on the ground, collect images of wildlife and habitats from the air, gather acoustic data with specialized hydrophones, or even collect snot samples from whales' blowholes, drones are capable of collecting high-resolution data quickly, noninvasively, and at relatively low cost.