Agricultural and Life Sciences (IFAS)
White Lab (Weecology)
Led by Ethan White · Wildlife Ecology and Conservation
What we study
Ethan White's lab uses computational and statistical methods to study ecological systems with large datasets. They develop open-source software and publish open datasets.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- EverWatch airborne bird imagery dataset for detection and classification of Everglades wading birds
2026 · Ecology
Creates a dataset of bird images to train computer models for tracking wading birds.
- Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability
2025 · PeerJ
Tests whether forecasting multiple species together improves predictions.
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- BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series
2025 · Global Ecology and Biogeography
Updates a database of biodiversity time series with more records and tools.
- Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities
2025 · Functional Ecology
Reviews challenges and solutions for using aerial images to study individual animals.
- Using time‐series remote sensing to identify and track individual bird nests at large scales
2025 · Remote Sensing in Ecology and Conservation
Uses repeated aerial photos to track bird nests over time automatically.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Ethan White hasn't set up this page yet. Their UF Scholars profile lists their publications.