#074 Olfactory Generalization with Petros Deligiannis

Overview


The podcast explores various aspects of working dog training,
focusing on operational processes, training methods, and ethical
considerations. It discusses business growth strategies,
collaboration within the community, and the importance of
diversity and formal education in animal science. Key topics
include animal welfare, olfactory generalization research,
challenges in detection dog training, and the significance of
testing generalization abilities.


The conversation covers future directions in canine detection
research, the use of training aids, and their benefits and
limitations. Additionally, it addresses quality control,
automation in training, and ethical concerns regarding the use of
dogs in high-risk situations. Overall, the podcast offers a
concise overview of the intricate considerations involved in
working dog training and deployment.





Chapters


00:00 Introduction and Overview of Operational K9


03:06 Business Growth and Target Audience


06:03 Taxation and Business Environment in Greece


10:05 Collaboration with Marcin Wyszynski


14:06 Diversity in Training Groups


17:07 Master's Degree in Animal Science


22:01 Animal Welfare Insights


27:58 Research on Olfactory Generalization


33:04 Challenges in Detection Dog Training


45:26 Understanding Volatile Organic Compounds in Detection


48:06 Training Dogs with Sorption Aids


54:21 The Importance of Novel Distractors in Training


01:01:12 Generalization Testing in Detection Dogs


01:11:11 Results and Implications of the Study


01:24:37 Future Directions in Canine Detection Research


01:27:22 Training Aids in Explosive Detection


01:30:40 Benefits and Limitations of Training Aids


01:34:11 Generalization in Detection Dog Training


01:37:16 Quality Control in Detection Dog Training


01:40:38 Automation in Dog Training


01:42:43 Ethics of Using Dogs in High-Risk Environments


01:46:33 Consent in Dog Training


02:03:33 Balancing Ethics and Practicality in Dog Training





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