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.

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.

There are educators everywhere working to teach and train the next generation of sustainability minded students. Whether in formal settings (K-12, undergraduate, graduate) settings or informally as science communication now it is more important than ever to work towards advancing Conservation Tech education. By working on interdisciplinary teams we can help develop teaching and training tools to help expand the field of Conservation Technology creation.

Over the last few years the conservation movement has been enthusiastically deploying new technologies that make it possible to observe and protect the natural world in ways once unimaginable. But are there any potential risks we need to consider as we deploy the new, exciting technologies?

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.