On Monday, March 3 at noon US ET, the Ecological Forecasting Initiative and
the ESA Statistical Ecology Section are co-hosting Dr. Sara Beery and Timm
Haucke (Massachusetts Institute of Technology) who will present on
"Ecological Modeling with AI and Python"

You can register to join the call at: https://bit.ly/4dbtALA

Computer vision and biodiversity monitoring is an emerging field that
combines artificial intelligence with ecological research to improve the
accuracy and efficiency of wildlife tracking. By using machine learning
algorithms to automatically analyze large datasets of wildlife images from
camera traps and other sources, this technology enables real-time
identification and monitoring of species. Computer vision techniques offer
scalable solutions for conservationists and ecologists to assess
biodiversity, track population trends, and understand species interactions,
making it a critical tool for addressing global challenges in biodiversity
conservation and ecosystem management.

This seminar will demonstrate a Python workflow to use AI models to
automatically process large image datasets, test the accuracy of those
models, and perform downstream ecological modeling. We will illustrate this
process using BioCLIP, a general AI model that was trained on 450,000
taxonomic labels, to classify a large set of camera trap images. We will
then assess the quality of those classifications given a relatively small
set of human species annotations. Since camera traps are imperfect
detectors (i.e. they fail to detect some animals) and AI models are
imperfect classifiers (i.e. they miss or confuse the species of some
detections), naively drawing conclusions from that data might be
suboptimal. To transform the classifications into ecologically useful
insights, we will instead use them to fit an occupancy model, which can
tell us whether sites are occupied by a species of interest while
accounting for imperfections in detection and classification.

Details about the seminar series and recordings from previous seminars are
at: https://ecoforecast.org/workshops/statistical-methods-seminar-series/
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