DAY 1: WEDNESDAY, 14 SEPT 2022, 10:00-12:00 EDT (90 global participants) Computational Ecology Today (talks are 20min + 10min questions/discussion, all times are EDT) 10:00 EDT (New York) = 3pm BST (London) = 16:00 CEST (Berlin) | ||
Time Slot | Title | Presenter |
10:00-10:10 | Welcome and Introduction | Tilo Burghardt |
10:10-10:40 | Talk and Discussion: Opportunities for AI Applications in Ecology (PDF) |
Hjalmar Kuehl |
10:40-11:10 | Talk and Discussion: Open Challenges in Generalizable Computer Vision for Ecology (PDF) | Sara Beery |
11:10-12:00 | Panel Discussion |
DAY 2: WEDNESDAY, 21 SEPT 2022, 10:00-12:00 EDT (75 global participants) Ecological Data meets AI (talks are 20min + 10min questions/discussion, all times are EDT) 10:00 EDT (New York) = 3pm BST (London) = 16:00 CEST (Berlin) | ||
Time Slot | Title | Presenter |
10:00-10:10 | Welcome Back | Paul Bodesheim |
10:10-10:40 | Talk and Discussion: Estimating Animal Abundance using Automatically Derived Observation Distances (PDF) | Maik Henrich |
10:40-11:10 | Talk and Discussion: Zamba: Computer Vision for Wildlife Conservation (PDF) | Emily Dorne |
11:10-12:00 | Panel Discussion |
DAY 3: WEDNESDAY, 28 SEPT 2022, 10:00-12:00 EDT (70 global participants) Systems, Standards, Community (talks are 20min + 10min questions/discussion, all times are EDT) 10:00 EDT (New York) = 3pm BST (London) = 16:00 CEST (Berlin) | ||
Time Slot | Title | Presenter |
10:00-10:10 | Welcome Back | Tilo Burghardt, Alexander Mathis |
10:10-10:40 | Talk and Discussion: Looking at Animals in 3D (PDF) | Silvia Zuffi |
10:40-11:10 | Talk and Discussion: Continuous Learning for Long-term Ecological Monitoring (PDF) | Paul Bodesheim |
11:10-11:40 | Cross-Event Insights: CameraTrapAI at the Cv4Ecology Summer School: 1) Introduction and Overview (PDF) 2) Topic: Urban Mammal Detection (PDF) 3) Topic: Winter Weather and Wildlife (PDF) 4) Topic: Unlabelled Data and Ecological Health (PDF) | 1) Sara Beery, 2) Tiziana Gelmi Candusso, 3) Catherine Marina Breen, 4) Peggy Bevan |
11:40-12:00 | Next Steps + Closing Remarks | Tilo Burghardt |
FOLLOW-UP SESSIONS: WEDNESDAY, 05 OCT + 02 NOV 2022, 10:00-12:00 EDT Perspective Paper Discussion (MS Teams Link) (first meeting of parties interested in writing a perspective paper) 10:00 EDT (New York) = 3pm BST (London) = 16:00 CEST (Berlin) | ||
WORKING TITLE: Perspectives for End-to-end Computational Species Monitoring with Camera Traps Effective species monitoring requires well-developed approaches for field observations, robust data processing routines and statistical methods for inference on species population status and other ecological metrics. Camera trapping and associated efforts for effective processing of recorded footage by AI approaches offer vast potential for standardized monitoring of hundreds to thousands of species. We still lack, however, an integrative framework towards end-to-end solutions for computational species monitoring. In this article we highlight remaining gaps and steps towards such framework by identifying (i) relevant target ecological metrics and related analytical frameworks that require adaptation, as well as (ii) remaining gaps in an end-to-end data processing and analyses pipeline. We demonstrate on how this can be achieved with a case study on the estimation of species occupancy and density. We further outline how the community of computer scientists, ecologists and wildlife statisticians could better integrate their respective efforts to facilitate the flow of information and knowledge among the disciplines and thus jointly work towards end-to-end computational species monitoring with camera traps. |
FOLLOW-UP SESSION: WEDNESDAY, 12 OCT 2022, 10:00-12:00 EDT Possibility of an AI-Ecology Online Challenge, a Project/Code Link Library, and Education Projects (MS Teams Link) (first meeting of parties interested in running an interdisciplinary challenge and building a project/code link library (10:00 EDT 1h) and in initiating interdisciplinary education efforts (11:00 EDT 1h)) 10:00 EDT (New York) = 3pm BST (London) = 16:00 CEST (Berlin) |
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Sara Beery | Paul Bodesheim | Hjalmar S Kuehl |
MIT | Google | University of Jena | iDiv | MPI |
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Silvia Zuffi | Maik Henrich | Emily Dorne |
IMATI-CNR | University of Freiburg | DrivenData |
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Peggy Bevan | Tiziana Gelmi Candusso | Catherine Marina Breen |
University College London | University of Toronto | University of Washington |
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