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