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Traditional Ecological Knowledge

TEK may hold the key to sustainable wildlife conservation. Every FIT algorithm begins with skills honed over generations — the ancient art of reading a footprint, passed down by indigenous trackers.

Where FIT began

Learned from the world's best trackers

WildTrack co-founders Dr. Sky Alibhai and Dr. Zoe Jewell learned to track black rhino alongside indigenous Shona and Ndebele trackers in Zimbabwe, over ten years monitoring rhino there. FIT was inspired directly by the incredible skills of those trackers.

Some indigenous communities still track for hunting or as part of tourism, their skills passed down through generations. But as populations urbanize, tracking becomes less relevant — and in some cultures this knowledge is dying.

A WildTrack scientist learning to read tracks with an indigenous tracker
10 yrs
Tracking black rhino with Shona & Ndebele experts in Zimbabwe
Ancient & modern synergy

Each footprint is a unique biomimetic signal — but few people can still read it.

Expert indigenous trackers, whose skills have been honed over generations by cultural transmission and intense observation of natural processes, can decode what most of us cannot.

From knowledge to algorithm

Translating tracking into numbers and patterns

Over decades, indigenous communities have taught us how the shape, scent, pattern, gait, and substrate disturbance of a footprint can reveal who passed, who stopped to browse, who left a social signal, and who associated with others.

We have translated that knowledge using advanced statistics and AI. If TEK could be expressed in quantitative form for science, we reasoned, it could transform our ability to monitor endangered species — after all, footprints are everywhere.

TEK + AI
cultural expertise rendered into quantitative science
Diversity
local skills build sustainability into global conservation

“FIT has brought together the ancient and modern in perfect synergy for modern wildlife conservation.”— The WildTrack approach