Resources are classified into one of the following types:
- Academia: research labs, software/products produced by university groups, university centers, etc.
- Community: collaborations, forums, networks, research groups, etc.
- Company: fee-based resources, for-profit, proprietary tech, etc.
- Opportunity: events, job boards, educational resources, professional/career development resources, trainings, etc.
- Organization: NGOs, non-profits, policy groups, project initiatives, etc.
- Tool: software packages, online platforms, toolkits, datasets, etc.
Each resource is also assigned tags to make it easier to search for specific keywords in the spreadsheet. These tags include:
- Analytical methods: AI/ML, data management, data analysis/viz, IoT, python, R/Rstudio, software
- Data collection methods: camera trap, data-/bio-logging, drones/UAV’s, eDNA/genetics, GPS, hardware, remote sensing, tracking/telemetry, mobile app
- Data types: bioacoustics, images, geospatial, video
- Habitat: climate, marine/aquatic, terrestrial
- Professional development: academic lab, education, events, funding, jobs, networking
- Relationship to humans: citizen science, consulting, local capacity building, open-source, wildlife crime prevention
While this is meant to be open-access, please cite the directory when using it in your own research or for your own non-commercial purposes. A static version of the document is archived through figshare (allowing a DOI to be assigned) in accompaniment of this site (see link below).
- Suggested citation: Batist, CH & Ermi, G. (2021). Conservation technology directory. Online resource. https://doi.org/10.6084/m9.figshare.15442200.
This directory was created by Carly Batist and Gracie Ermi, who continue to maintain it and add resources. Feel free to reach out to them with any questions or suggestions regarding the directory!
- Carly is a PhD Candidate in primatology at the City University of New York (CUNY) Graduate Center in New York City. Her dissertation research combines vocal communication and passive acoustic monitoring to understand ruffed lemur behavior and survey their Critically Endangered populations in the southeastern rainforests of Madagascar. You can reach her on Twitter, LinkedIn, or through WILDLABS.
- Gracie is a Research Engineer at the Allen Institute for Artificial Intelligence (AI2). She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research. You can reach her on Twitter or LinkedIn.