This webinar explored climate change adaptation from the cutting-edge science to on-the-ground action. Looking at what is happening locally to adapt to the impacts of climate change and Tasmania’s role in broader programs like the National Environmental Science Program.
This forum was hosted by the patron of National Science Week Tasmania and CMS member, Dr Jess Melbourne-Thomas.
Panel:
• Associate Professor Sarah Boulter, Associate Professor in Climate Change Adaptation, University of Tasmania and Climate Adaptation Mission Lead, National Environmental Science Program
• Katrina Graham, Senior Climate Change Officer, Hobart City Council
CMS members Dr Jess Melbourne-Thomas presented the talk "Challenges and solutions for Antarctic marine biodiversity under climate change", and Prof Marcus Haward presented the talk "Marine Biodiversity in the Southern Ocean: Lessons from CCAMLR" at the panel.
Plenary presentation at the World Fisheries Congress, 20-24 September 2021, Virtual
Plenary presentation at the World Fisheries Congress, 20-24 September 2021, Virtual
Is the climate problem so big, you don't know where to start, or what to do? Do you want to contribute to the sustainable future of our planet? Find out from our experts how you can make a difference in this online seminar.
Host:
Gretta Pecl, Director, Centre for Marine Socioecology and ARC Future Fellow, University of Tasmania
Speakers:
• Professor Martin Grimmer, Associate Provost and Professor of Marketing, University of Tasmania
• Hannah Moloney, Author and Director, Good Life Permaculture
• Martin Exel, Managing Director, Seafood Business for Ocean Stewardship, and Advisor, Austral Fisheries
Programme
May 3 (6.00-8.00 UTC)
Starting at 20:00 of May 2 HST (Honolulu), 8.00 CEST (Berlin), 11.30 IST (Delhi), 16.00 AEST (Melbourne)
Asta Audzijonyte (Nature Research Center, Lithuania & University of Tasmania, Australia): Introduction and day one recap
John Lynham (University of Hawai'i at Mānoa). FishNet: species classification and size regression using AI and a dataset of one million fish
Catarina Silva (Nature Research Center, Lithuania): Developing open source tools for automated fish species identification for recreational fisheries
Jaume Piera (Spanish National Research Council): Integrating AI tools in Citizen Observatories for potential monitoring of fishes: the case of Cos4Cloud project
Dadong Wang (Data61, CSIRO, Australia): AI-based video analysis for electronic monitoring of fisheries operation
Yanyu Chen (University of Tasmania, Australia): Automated sex classification and size estimation for Giant Grabs
Xabier Lekunberri (AZTI, Basque Research and Technology Alliance): Identification and measurement of tropical tuna species in purse seiners catches using computer vision and deep learning
Discussion
Programme
May 2 (14.00-16.00 UTC)
Starting at 7.00 PDT (Vancouver), 10.00 EDT (New York), 16.00 CEST (Berlin), 19.30 IST (Delhi)
Asta Audzijonyte (Nature Research Center, Lithuania & University of Tasmania, Australia). Introduction, anglers, citizen science and fish size data
Daniel Pauly (University of British Columbia, FishBase, Canada). Citizen science data and FishBase
Christian Skov (Technical University of Denmark). Fangstjournalen: a citizen science program for anglers
Sean Simmons (MyCatch and Angler's Atlas, Canada). Citizen science in fisheries research: angler generated data, validation techniques and opportunities for machine learning
Lisa Kellogg (Virginia Institute of Marine Science, USA). RecFish: engaging recreational anglers as community scientists: Overview
Harshil Shah (DXFactor): RecFish: engaging recreational anglers as community scientists: Technical details
Nathaniel (Than) Hitt (U.S. Geological Survey): Deep learning for stream fish conservation using images for individual recognition
Discussion
This talk by multidisciplinary designer Sophie Falkeis, features the project “First Encounters“ - a multimedia walk-in installation – as well as the recently founded platform “The Encounters Lab“, displaying a crossdisciplinary approach to communicating scientific data through means of visual storytelling, turning empirical facts into emotional realities.
