Artificial intelligence is transforming the way environmental scientists tackle some of the planet’s most complex challenges — and researchers at UC Santa Barbara’s Bren School of Environmental Science & Management are leading the charge. As reported by edhat, Bren School professor Ben Halpern recently took the stage at the inaugural event of UCSB Library’s new “AI in Action” speaker series to demonstrate how his team is harnessing machine learning for ecological conservation.
Machine Learning Meets Conservation: Tracking Invasive Ice Plant from Space
Halpern, who also directs the National Center for Ecological Analysis and Synthesis (NCEAS), described how his team has developed an innovative approach to monitoring invasive ice plant across the Jack and Laura Dangermond Preserve near Point Conception. By blending frequent, lower-resolution satellite imagery with less frequent but higher-resolution aerial photo data, they can now track the spread of this invasive succulent across hundreds of acres of rugged coastal terrain — terrain that would be much more costly and time consuming to survey on foot.
“We definitely need humans in the loop,” Halpern emphasized, underscoring that AI serves as a tool to enhance and amplify critical thinking, not replace it. His team’s work is directly informing an eradication plan mandated by the California Coastal Commission, turning cutting-edge data science into tangible conservation outcomes.
UCSB’s “AI in Action” Series: Bridging Artificial Intelligence and Academic Research
The “AI in Action” series, launched by UCSB Library, brings together scholars, students, and community members for free presentations and discussions about the growing role of artificial intelligence in academic research. The inaugural event also featured earth science professor Tobias Fischer, who demonstrated how AI models are being used to predict wildfire severity in Santa Barbara County by processing complex temperature, wind, and terrain data.
University Librarian Todd Grappone highlighted the essential connection between libraries and AI. “It was clear from these presentations that artificial intelligence depends on archival material,” Grappone said. “How libraries preserve, curate and diversify the historical record fundamentally shapes the intelligence we build.”
Technology and Ecology at the Bren School: What’s Next
For the Bren School, this work exemplifies a central tenet of its mission: developing innovative, interdisciplinary solutions to pressing environmental problems. Whether tracking invasive species with satellite data, predicting wildfire behavior, or training the next generation of environmental data scientists, the Bren School continues to push the boundaries of what’s possible at the intersection of technology and ecology.
The “AI in Action” series is free and open to the public. Upcoming events include speakers from the Computer Science Department, Germanic and Slavic Studies, Electrical and Computer Engineering, and Materials Science. Read the full story at edhat.
