— Do We Really See What the Animal Shows Us?
Free webinar (via Google Meet)
Up to 1,000 registered participants
First 500 to log in will have interactive access (full participation)
Additional participants will join in view-only mode
Recording available exclusively to registered participants
Certificates of attendance provided to all live attendees (interactive and view-only)
Philippe Bugnon, DVM, Dipl. SVLAS, is Head of Education and Continuing Education at the Institute of Laboratory Animal Science, University of Zürich, a role he has held since 2007 across the Faculty of Medicine and the Vetsuisse Faculty. His career spans rabies research at the Swiss Rabies Center (Vetsuisse Bern), and nearly a decade at ETH Zürich as animal facility manager and study director in skin wound healing research. He is a board member of the Swiss Laboratory Animal Science Association (SGV), Swiss delegate and Education and Training Board expert at FELASA, and a member of the Executive Committee of the Swiss 3R Competence Center (3RCC). He previously chaired the ETPLAS working group on the EU-wide CPD framework and served as President of the Swiss Federal Committee on Animal Testing.
Let’s be honest. Most score sheets do not do what they are supposed to do. They are copied from generic templates instead of being built around the real welfare problems of a specific model. They may look complete on paper, but in practice they miss what matters. A good score sheet is not a checklist. It is a decision tool. It tells us what to look for, what it means, and when to act, including when to apply a humane endpoint. In this webinar, we will break down why so many score sheets fall short, what actually makes them work, and how to build one that is practical, model-specific, and genuinely useful for your animals, your group, and your science. Less formality. More clarity. Better decisions.
Reference list:
Thallmair M, Duque-Correa MJ, Heimann M, Bugnon P. One size does not fit all: Guidelines for designing a score sheet for animal experiments – eight essential steps. Laboratory Animals. 2025;0(0). doi:10.1177/00236772251374409
Bugnon P, Heimann M, Thallmair M. What the literature tells us about score sheet design. Laboratory Animals. 2016, 50(6). doi: 10.1177/0023677216671552
Understand why score sheets are decision tools, not checklists
Judge whether an existing score sheet fits your model and conditions
Convert welfare problems into observable, measurable parameters
Choose the right scoring format for each parameter
Link scores directly to interventions and humane endpoints
Using generic score sheets is not enough — model, conditions, severity, and duration all matter
Welfare problems and measurable parameters are not the same thing
Not all parameters need the same scale — some only need yes or no
Scores must drive decisions, not just describe observations
Always plan for the unexpected — it will happen at the worst time