This tool helps you to discover optimal combinations of welfare indicators. The underlying algorithm seeks combinations of welfare indicators that maximise the associated number of welfare hazard x welfare consequence combinations (addressing both risks to welfare and their consequences). To tune the selection you can use the slicers to impose constraints/inputs. For example you could identify combinations that meet specific criteria such as being easy to deploy and with the potential to mitigate the most severe welfare hazards and welfare consequences.
Start by selecting the species and animal class and then the desired number of welfare indicators