Description
Pain detection in animals is a critical challenge in veterinary medicine and animal welfare, profoundly impacting treatment outcomes, quality of life, and overall well-being. Since animals cannot verbally express their pain, accurately identifying pain states relies heavily on assessing and understanding their behaviour.
In this context, the integration of artificial intelligence (AI) into animal behaviour and pain research offers innovative and transformative opportunities. AI technologies can analyze and interpret subtle behavioural changes and other pain-related indicators with unparalleled precision, potentially surpassing human capabilities. By enabling objective evaluation of individual pain states and tailoring treatment strategies, AI has the potential to revolutionize the management of animal health and welfare. However, the road to achieving these advancements is not without challenges.
​
This workshop brings together a wide range of experts from veterinary medicine, animal behaviour, welfare, and pain research, and computer science. The primary aim is to foster collaboration, share knowledge, and build a deeper mutual understanding of the diverse perspectives, approaches, and insights on animal behaviour, pain, and AI. By bridging disciplines, the workshop seeks to shape the future of pain detection and treatment in animals. The workshop maintains a focus on horses but is not limited to them, featuring presentations, discussions, insights, and solutions that are relevant and potentially applicable to a wide range of other species.
Guest Speakers
Anna Zamansky
University of Haifa
George Martvel
University of Haifa
​Maya Braem
MayAnimal
Stelio Luna
Universidade Estadual Paulista (UNESP)
Björn Forkman
University of Copenhagen
Leanne Proops
University of Portsmouth
Oliver Sturman
ETH
Sue MacDonnell
University of Pennsylvania
Emanuela Dalla Costa
University of Milan
Machteld van Dierendonck
Utrecht University
Peter Gloor
MIT Center for Collective Intelligence
Francoise Wemelsfelder
Scotland's Rural College (SRUC)
Marcelo Feighelstein
University of Haifa
Pia Anderson-Haubro
Swedish University of Agricultural Sciences (SLU)
Tentative Schedule
09:00 - 09:15
Opening words
09:15 - 10:00
Inputtalk 1 + Discussion
10:00 - 10:45
Inputtalk 2 + Discussion
10:45 - 11:00
Break
11:15 - 12:00
Inputtalk 3 + Discussion
12:00 - 13:30
Break
13:30 - 14:15
Inputtalk 4 + Discussion
14:15 - 15:00
Inputtalk 5+ Discussion
15:00 - 15:30
Break
15:30 - 16:15
Inputtalk 6 + Discussion
16:15 - 16:30
Break
16:30 - 17:30
Public talk by Anna
17:30 +
Optional dinner