E. B. Nilsen

This study identifies a recognizability bias in citizen science photographs, where species harder to recognize are underreported, affecting model training and future performance.

This study shows that adding images of under-represented species improves recognition models more than adding more images of well-represented species.

This study surveys OS practitioners in ecology to identify drivers and challenges of open science engagement, finding that formal education and institutional support are critical for adoption.

GMSE simulates adaptive management scenarios with genetic algorithms to address social-ecological conflicts under uncertainty.