Welfare Science

Farm Animal Welfare Data Science and Metrics

Standardised welfare metrics and data science approaches are transforming the ability to measure and compare farm animal welfare at scale.

Key Facts

The Welfare Quality protocol provides standardised animal-based measures across species
Farm assurance schemes collect welfare data but rarely make it publicly available or comparable
Machine learning applied to farm sensor data can predict welfare events before clinical signs appear
Standardised metrics enable benchmarking across farms, regions and production systems
Open welfare data sharing between researchers accelerates evidence generation

Welfare Considerations

Welfare science depends on measurement. Without standardised, comparable data, it is impossible to identify which farms, systems or interventions achieve the best welfare outcomes. Data science approaches that aggregate and analyse welfare indicator data represent a transformative opportunity for evidence-based welfare improvement at scale.

What You Can Do

Support open animal welfare data initiatives and research transparency
Advocate for welfare data transparency requirements in farm certification schemes
Engage with welfare science organisations developing standardised metrics
Support research into automated welfare monitoring that generates comparable data