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In this first part of our conversation with Ryan Talbot, Behavioral Enrichment and Training Manager at Wolf Park, we dive into the winding and thoughtful path that brought him from computer engineering into the world of applied behavior analysis and cooperative care. Ryan shares how a formative visit to Wolf Park opened his eyes to the power of relationships built through understanding another being's umwelt, setting him on a path of lifelong learning in behavior science.
Across the episode, Ryan reflects on how engineering thinking and behavior analysis intersect in his work. He discusses debugging software versus analyzing behavior, the parallels between instrumentation and communication, and how these concepts helped shape his approach to training wolves with clarity and compassion. Ryan also describes the early cooperative care efforts at Wolf Park, from reducing reliance on human wolf bonds to developing voluntary, transferable husbandry behaviors with the help of colleagues and mentors.
Together, Ryan and host Ryan Cartlidge explore themes of motivation, imposter syndrome, community, and what it means to contribute to a field from an unconventional starting point. From building wooden target blocks to prototyping touchscreen devices for wolves, Ryan shares how creativity, curiosity, and open source values influence both his training and his desire to help others learn and grow alongside their animals.
Throughout this episode, we explore:✅ The moment at Wolf Park that sparked Ryan's interest in behavior and umwelt ✅ How engineering concepts like debugging and instrumentation map onto behavior analysis ✅ The evolution of cooperative care training with wolves and wolf dogs at Wolf Park ✅ Why Ryan sees behavior as a physical science governed by predictable laws ✅ The influence of mentors and colleagues throughout his learning journey ✅ Thoughts on imposter syndrome, industry identity, and finding one's place in the training community ✅ Open source values, tinkering, and creative tools that support clearer communication with learners
This conversation offers a fascinating look at how diverse backgrounds enrich our field, and how curiosity and compassion can shape meaningful work with animals.
Links
https://wolfpark.org/
https://www.facebook.com/wolfparkindiana
https://www.instagram.com/wolfparkindiana/
Links papers referred to during conversation:
https://link.springer.com/article/10.1007/s40617-023-00890-1
https://link.springer.com/article/10.1007/s40617-023-00850-9
By Ryan Cartlidge4.7
104104 ratings
In this first part of our conversation with Ryan Talbot, Behavioral Enrichment and Training Manager at Wolf Park, we dive into the winding and thoughtful path that brought him from computer engineering into the world of applied behavior analysis and cooperative care. Ryan shares how a formative visit to Wolf Park opened his eyes to the power of relationships built through understanding another being's umwelt, setting him on a path of lifelong learning in behavior science.
Across the episode, Ryan reflects on how engineering thinking and behavior analysis intersect in his work. He discusses debugging software versus analyzing behavior, the parallels between instrumentation and communication, and how these concepts helped shape his approach to training wolves with clarity and compassion. Ryan also describes the early cooperative care efforts at Wolf Park, from reducing reliance on human wolf bonds to developing voluntary, transferable husbandry behaviors with the help of colleagues and mentors.
Together, Ryan and host Ryan Cartlidge explore themes of motivation, imposter syndrome, community, and what it means to contribute to a field from an unconventional starting point. From building wooden target blocks to prototyping touchscreen devices for wolves, Ryan shares how creativity, curiosity, and open source values influence both his training and his desire to help others learn and grow alongside their animals.
Throughout this episode, we explore:✅ The moment at Wolf Park that sparked Ryan's interest in behavior and umwelt ✅ How engineering concepts like debugging and instrumentation map onto behavior analysis ✅ The evolution of cooperative care training with wolves and wolf dogs at Wolf Park ✅ Why Ryan sees behavior as a physical science governed by predictable laws ✅ The influence of mentors and colleagues throughout his learning journey ✅ Thoughts on imposter syndrome, industry identity, and finding one's place in the training community ✅ Open source values, tinkering, and creative tools that support clearer communication with learners
This conversation offers a fascinating look at how diverse backgrounds enrich our field, and how curiosity and compassion can shape meaningful work with animals.
Links
https://wolfpark.org/
https://www.facebook.com/wolfparkindiana
https://www.instagram.com/wolfparkindiana/
Links papers referred to during conversation:
https://link.springer.com/article/10.1007/s40617-023-00890-1
https://link.springer.com/article/10.1007/s40617-023-00850-9

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