About

Resource Classification

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

Citing

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).

The Creators

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)’s Graduate Center in New York City. Her dissertation research combines vocal communication and passive acoustic monitoring to understand ruffed lemur behavior and remotely survey their Critically Endangered populations in the southeastern rainforests of Madagascar. You can reach her on Twitter, LinkedIn, or through WILDLABS.
  • Gracie is a Machine Learning Scientist at the Impact Observatory. Her work focuses on using geospatial data to understand how land cover and land use is changing over time. Her career has centered around building AI to support environmental research and decision making. You can reach her on Twitter or LinkedIn.