We are developing AI-powered tools to support the application of the Welfare Footprint Framework (WFF) and make welfare analysis more structured and scalable.
Maps production systems and environmental conditions, structuring the Circumstances animals are exposed to.
Helps map the causal chain of welfare from Circumstances to Affective Experiences.
Supports full welfare analysis, including Pain-Tracks and Pleasure-Tracks.
Explores differences in welfare-relevant capacities across species.
Applies epidemiological reasoning to welfare, including prevalence and exposure.
Explores affective states and consciousness through neuroscience and philosophical reasoning, helping users think more deeply about the nature of animal experiences.
Consumer-facing prototype connecting welfare analysis to food choices.
