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 Haubro Andersen
Swedish University of Agricultural Sciences (SLU)
Schedule
Talk slots are 45 minutes long, consisting of an input talk of approximately 20–25 minutes, followed by a discussion with the audience.
09:00 - 09:15
Claudia Spadavecchia & Annika Bremhorst; University of Bern
Opening words
09:15 - 10:00
Björn Forkman, University of Copenhagen
Animal pain in animal welfare assessments
10:00 - 10:45
Johan Lundblad, SLU
From behavioural markers to facial expressions – what biological information is the computer recognizing?
10:45 - 11:00
Break
(coffee, snacks, etc. provided)
11:15 - 12:00
George Martvel, University of Haifa
Landmark-based approaches in animal behaviour analysis
12:00 - 13:30
Lunch Break
(self-organised: Explore nearby restaurants and cafés for lunch. A list of suggested locations will be provided)
13:30 - 14:15
Pia Haubro Andersen, SLU
Facial action coding system for horses: Precision or pointless
14:15 - 15:00
Leanne Proops, University of Portsmouth
Developing an ethogram of equine facial behaviour using EquiFACS
15:00 - 15:30
Break
(coffee, snacks, etc. provided)
15:30 - 16:15
Sue McDonnell, University of Pennsylvania
When a bear farts alone in the woods, it really does make a sound
16:15 - 17:00
Oliver Sturman, ETH
Automated pain and welfare monitoring in rodents
17:00 - 17:15
Break
Short break
17:15 - 18:00
Anna Zamansky, University of Haifa (Public talk)
Bridging the worlds of animal pain assessment and AI: Challenges and opportunities
Sponsored by

