using photos of their footprints in the snow
Feedback Loop: Taxonomic ID from Photo Recognition, Integrated Species Distribution Modeling, and Citizen Science.
A TETTRIs Third Party Project funded by the European Union.
FOOTPRINTS-CITSCI NEWS
Partnering with the public in nature research
About FOOTPRINTs
Our mission is to open up new ways for the public to participate in collecting data on animal populations—through the collection of photographs of animal footprints in the snow.
To bring this vision to life, we are building new research collaborations and supporting them with new research methods. We’re developing machine learning models to identify an animal from a photo of its footprints. We’re advancing biodiversity modeling to pinpoint locations where we need more data to understand the conservation status of animal populations. And we’re refining data collection methods to find ways to partner with the public in this work.
Data about the natural world is a foundation of nature restoration, wildlife protection, and science-based nature management—and we believe that there is room for everyone to be a part of this mission.
FOOTPRINTs
We partner with the public to collect data on animal populations in winter. Combining citizen science collection of snow footprint photograph , state-of-the-art AI species identification models, and live data analysis, we provide participants and stakeholders with new raw data and updated species maps.
Meet our team with
the links above
Launched
January 2024
...and
counting!
A feedback loop for research innovation
Building new research tools for biodiversity research
Citizen science
Machine learning species identification
Integrated species distribution models
This project has received funding from the European Union’s Horizon Europe Research and Innovation programme within the framework of the TETTRIs Project funded under Grant Agreement Nr. 101081903.
© 2024 FOOTPRINTS-CITSCI. CC BY 4.0.