Fish Welfare Decision System

The Fish Welfare Decision System is an exploratory decision-support prototype designed to identify high-impact sources of suffering in aquaculture systems through structured welfare modelling.

The system integrates evidence-based welfare drivers, contextual production factors, interaction effects, and sentience-adjusted prioritisation to estimate welfare risk and identify binding constraints within fish farming systems.

Rather than treating welfare problems as equally distributed, the tool models how specific factors — such as slaughter practices, water quality, stocking density, or disease — can disproportionately drive total welfare loss. The goal is to support more targeted intervention design, policy prioritisation, and strategic welfare advocacy.

The prototype combines transparent rule-based modelling with scenario analysis, intervention simulation, and optional image-based inputs. It is intended as an early-stage research and advocacy tool rather than a production-ready AI system.

Developed by Anusha Narain under the mentorship of James Morgan.