We are excited to announce the AI and Marine Mammal workshop at the SMM
Conference in
Perth, Australia, from 08:30 to 17:30 on Sunday, November 10:
https://www.smmconference.org/workshops/#1718154442496-c6dbac38-4a6f
Join us for an exciting workshop on the uses of AI in marine mammal
science. Experts from various fields will discuss innovative approaches to
studying marine mammal behavior, bioacoustics, and ecology. Following each
presentation, a Q&A session will be held. This will be a hybrid workshop,
allowing both in-person and virtual participation.
Invited speakers:
Kevin Bierlich, a Professor at Oregon State University, has described whales'
physical condition using a combination of drone photography and computer vision.
Ted Cheeseman, creator of Happy Whale, used crowdsourcing to assemble the
largest dataset of humpback whale fluke photographs and utilized it to document
the recovery of humpback whales in the North Pacific and the subsequent loss of
almost 7,000 whales between 2012 and 2021.
Denise Herzing is the Director of the Wild Dolphin Project and has been
studying the behavior and ecology of spotted dolphins and bottle-nose dolphins
for over 35 years.
Amanda Hodgson, Professor at Edith Cowan University, monitors dugong and
cetacean populations with aerial surveys and computer vision.
Aiden Lundberg created an app that censuses male, female and pup elephant seals
from drone photographs.
Brian Miller, a researcher at the Australian Antarctic Division, analyzes
passive acoustic monitoring data using machine learning techniques.
David Robinson created BioLingual, which pairs an animal vocalization audio
encoder with a human language text encoder allowing Zero-shot audio
classification of passive bioacoustic monitoring data.
Pratyusha Sharma analyzed sperm whale codas with AI, allowing her to describe
their contextual and combinational structure.
Naomi Rose, Researcher at the Animal Welfare Institute, and
Emily Charry Tissier, CEO of Whale Seeker, have been invited to speak on
ethical issues related to AI in behavioral experiments.
Following the invited speakers' presentations, we will break into
smaller group discussions, focusing on topics based on the expressed interests
of participants. These topics might include machine learning tools for pattern
recognition, current solutions for differentiating individual, species, and
age/sex identification, and necessary data preparation and annotation for AI
analysis. If you have specific topics or questions you would like discussed,
please contact Guy Oliver at [email protected].
If virtual participants want to create their own group(s) using
Zoom calls, we will try to accommodate these requests. Prior discussions with
the workshop organizers will be essential to ensure the successful
implementation of this option.
We are striving to obtain full scholarships for virtual
participants, but while we have not been successful yet, we will continue to
pursue it until the start of the conference. If we are only partially
successful, awards will be prioritized to individuals in underrepresented
locations.
Please feel free to reach out to us with any questions. We look forward to
seeing you there.
Guy Oliver and Aiden Lundberg
Guy W. Oliver, Ph.D.
Research Associate
Institute of Marine Sciences
Long Marine Lab, UCSC
Santa Cruz, CA 95064
831-458-4121
831-345-9495 cell
[email protected]
Keep fightin’ for freedom and justice, beloveds, but don’t you forget to have
fun doin’ it. Lord, let your laughter ring forth. Be outrageous, ridicule the
fraidy-cats, rejoice in all the oddities that freedom can produce. And when you
get through kickin’ ass and celebratin’ the sheer joy of a good fight, be sure
to tell those who come after how much fun it was.
Molly Ivins
_______________________________________________
MARMAM mailing list
[email protected]
https://lists.uvic.ca/mailman/listinfo/marmam
