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.

The East Africa Community is WILDLABS first regional hub. This group creates a space to foster connections and collaboration between conservation and technology players in the Silicon Savannah.

Just starting your conservation tech career path? Our Early Career group is the best place to network, chat about your master's projects, and seek advice from your peers and those who have been down this path before! Join now to get to know community members and students from around the world!

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.