Skip to main content
2023 ESA Annual Meeting Main banner
Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Back

Organized Oral Session
Organized Oral Session

OOS 10 - The Future of Ecological Monitoring Is Collaboration with Artificial Intelligence

Monday, August 7, 2023
3:30 PM – 5:00 PM PDT
Location: 253

Observing species occurrence, abundance and behavior is fundamental to ecology. The majority of taxa are difficult to detect and classify in natural landscapes, leading to a chronic lack of data to support research and policy decisions. While human-based observation has been the dominant form of data collection since the inception of ecology, the future of ecological monitoring is in artificial intelligence combined with traditional observer surveys. This session will provide a broad view of the future of AI, covering data collection from multiple sensor types and habitats. The aim of this session is to build community towards general models for AI ecological monitoring that can be shared across projects, data modalities, taxa, and geography. By building general detectors for the dominant forms of remote monitoring we can democratize the advances made by ecological informatics into tangible gains for all ecologists. Combining work from computer vision research at the intersection of AI and ecology, and applied science at federal agencies, this session will connect the projects that motivate individual research questions with the cross-disciplinary efforts to make general models for species detection, classification and tracking.

Presentations:

  • 3:30 PM – 3:45 PM PDT
    Towards general models for airborne ecological monitoring

    Presenting Author: Ben G. Weinstein, PhD – University of Florida

    Co-author: Ethan P. White, PhD – University of Florida

    Co-author: S. K. Morgan Ernest – University Of Florida

  • 3:45 PM – 4:00 PM PDT
    AI for ecology across data modalities: making better use of the data we have

    Presenting Author: Sara Beery – MIT

    Co-author: Jonathan Huang – Google

  • 4:00 PM – 4:15 PM PDT
    Putting coarse-grained AI models to work to solve fine-grained ecology problems

    Presenting Author: Dan Morris – Google

  • 4:15 PM – 4:30 PM PDT
    Unlocking general-purpose bioacoustic classification with open-source approaches

    Presenting Author: Tessa A. Rhinehart – University of Pittsburgh

    Co-author: Jatin Khilnani – University of Pittsburgh

    Co-author: Lauren M. Chronister – University of Pittsburgh

    Co-author: Chapin Czarnecki – University of Pittsburgh

    Co-author: Justin Kitzes – University of Pittsburgh

  • 4:30 PM – 4:45 PM PDT
    Automating forest monitoring with high resolution remote sensing and AI

    Presenting Author: Emily R. Lines – Department of Geography, University of Cambridge

    Co-author: Paloma Ruiz-Benito, PhD – Departamento de Ciencias de la Vida, Universidad de Alcalá

    Co-author: Matt Allen – Department of Geography, University of Cambridge

    Co-author: Stuart W. D. Grieve, PhD – School of Geography, Queen Mary University of London

    Co-author: Harry J. F. Owen, PhD – Department Of Geography, University Of Cambridge

  • 4:45 PM – 5:00 PM PDT
    Ocean Vision AI: Accelerating the processing of underwater visual data for marine ecological monitoring

    Presenting Author: Kakani Katija – Monterey Bay Aquarium Research Institute

    Co-author: Katherine LC Bell – ocean Discovery League

    Co-author: Angus G. Forbes – Purdue University

    Co-author: Henry Ruhl – Central and Northern California Ocean Observing System (CeNCOOS)

    Co-author: Benjamin Woodward – CVision AI