Research

Tools and research projects supporting wildlife monitoring, computer vision, and machine learning.

Research at Wild Basin

Wild Basin supports research in a living laboratory within a 227-acre nature preserve. Past and current research topics include water quality, wildlife populations, soil microbes, predator activity, human-wildlife interactions, and creative research across disciplines.

Project Repositories

Box Drive Processing Pipeline

Python tools for collecting Box file images, run speciesnet and OCR processing, and generate json metadata files.

GitHub Repo

Wild Basin Image Gallery App

Django web application for uploading metadata, searching SpeciesNet results, reviewing OCR data, and viewing cached trail camera images.

GitHub Repo

Adaptive Backpropagation Research

Experimental machine learning research exploring whether selected subnetworks can reduce backpropagation computation while maintaining model performance.

GitHub Repo