Michael is a scientist, modeller, data analyst, and decision specialist. His primary interests are using mathematical and statistical modelling to improve the management of human systems and natural resources. During his research career he has used modelling to improve strategic planning for skilled workforces, guide decision-making in ocean ecosystems, explore drivers of behaviour in coastal communities, and assess the viability of different climate change mitigation strategies. He has provided advanced modelling and data analysis services to governments and other groups to facilitate adaptive management.
In his current role at Victoria Police he builds models for demand and optimal resource allocation.
Presentation
Modelling demand with the Victoria Police Staff Allocation Model: lessons learned
Dr Michael Smith1
1VIC Government (State and Local), , Australia
Before demand can be managed, it must be measured. The Victoria Police Staff Allocation Model (SAM) was built to inform executive decision making and strategic resource allocation, and is based on a multifaceted representation of demand for police service, drawn from over 30 data sets. Features of the model include demand and capacity measurement, allocation prioritisation, a harm index, forecasting, and redistribution advice.
This talk will provide an overview of the model redevelopment process, as well as lessons learned along the way.