Dr. Catherine Jayne Tennick is Senior Lecturer and Course Leader for the BSc (Hons) Forensic Science at the University of Lancashire; she is also a Member of the Chartered Society of Forensic Sciences and a Fellow of the Higher Education Academy. Cat has been involved in teaching and research for over 20 years, including topics such as death and decomposition, forensic trace evidence, forensic casework examination, analysis and interpretation of forensic evidence, sharp force trauma, and forensic taphonomy. She has collaborated with a number of forensic and policing organisations such as Lancashire Constabulary and Cellmark Forensic Services.

In her spare time, Dr. Tennick enjoys science communication, delivering live shows at festivals, engaging in science stand-up comedy, and working with schools and colleges. She co-authored the book "Unmasked: The Science of Superheroes," which explores the scientific principles behind popular superhero abilities.

In addition to her academic and outreach activities, Dr. Tennick has presented forensic material for the BBC in various formats, including live radio broadcasts and television appearances on BBC One's "Crimewatch Live," where she demonstrated forensic techniques.

Is it wrong to use AI in veterinary medicine? Is it wrong not to use AI in veterinary medicine? The integration of Artificial Intelligence (AI) technologies holds tremendous potential to revolutionise veterinary medicine and veterinary education but poses many big questions surrounding its use, including ethics and ownership of content generation, data security, hallucinations and misinformation, and how we define and test intelligence. AI-based diagnostic tools and decision support systems will be rapidly incorporated into veterinary clinical practice. By analysing clinical data, interpreting diagnostic images, and generating differential diagnoses, these intelligent systems will aid future clinicians in their day-to-day work, and veterinary students will need to engage with, and be trained in fully appreciating the capabilities, limitations, and liabilities of using these systems. Eventually we will likely enter a situation where it may be deemed negligent not to consult an AI agent when managing a patient.  

‍This keynote will explore the application of the One Health, One Welfare concept to equestrian sport research. Focusing on the intersection of horse and rider safety and welfare, the talk will cover epidemiological studies on horse falls in eventing, highlighting their impact on horse and rider safety. The session will also examine welfare assessments of horses at competitions, examining stress, and a psychoanalytic approach to understanding the emotional states of riders in this context. The talk will also discuss the use of AI in kinematic analysis of riders, in a step towards using this innovative technology for rider safety and performance. Overall, this talk considers how integrated research can shape the future of equestrian sport safety and welfare.

This talk will look at the principles of infectious disease surveillance in veterinary medicine, mainly focusing on neglected tropical diseases with both public health and economic significance in livestock that may be viewed as of less economic value. We will explore the disease dynamics and public awareness of these neglected diseases and the role(s) they play in undermining livestock production in low- and middle-income countries as well as their zoonotic potential using Zimbabwean communal areas as an example. We will also explore how we can foster equitable partnerships in research and how research can benefit local communities and inform government policies in these settings.