Director, Emerging Data and Methods
Australian Bureau of Statistics
Data analytics plays a pivotal role in evidencebased decision making. For government, it enables the delivery of beneficial economic, social and environmental outcomes through better policy, services, regulation and investment. However, government operates in a complex system of systems with different scales of action and effect, and dynamic nonlinear relationships among multiple agents. Policy problems are difficult to isolate, reduce and objectively specify, and government intervention may have unintended consequences. This talk will provide an overview of a new analytical paradigm the ABS is developing for decision making in such complex domains, drawing on diverse information sources. It will also present a case study based on a set of interconnected themes that highlight the analytical challenges and approach for some key areas of government policy interest - export success, job creation, skills for the future, and the welfare system.
- Representing, combining and analysing diverse multisource data
- Dealing with issues such as conceptual heterogeneity and inferential bias
- Finding the balance between privacy protection and analytical utility