Link to the NatStats 2013 Program



The Program will cover


The overall theme for NatStats 2013 is “A better informed Australia: the role of statistics in building the nation”. The conference will investigate this theme by exploring how big or turbo-charged data (administration/transactional, web 2.0, international and emerging datasets for example) can be used to inform decision making in the social well-being, economic (from the perspective of productivity) and environment domains, as well as looking at the challenges in using big data. The conference intends to address these challenges and devise strategies to overcome them.

The aim for this conference is to be interactive with a large degree of delegate participation in the concurrent sessions.  This participation will be in the form of a series of round table discussions to consider proposed questions.

Day One - Wednesday 13 March 2013

The plenary sessions on the first day of the program aim to highlight why big data is important and why data should be considered a strategic asset.  It also aims to highlight what is currently being done in Australia with big data through specific case studies.  

The concurrent sessions of the first day will showcase a variety of themes in social well-being, productivity and environment. Namely:
  • Relative disadvantage and aged care
  • Innovation for productivity, workforce skilling, data collection and management
  • Regional environmental accounts, land accounts and energy

Day Two - Thursday 14 March 2013

The plenary sessions on the second day of the program will highlight the importance of interpreting and communicating data as well as the issues and barriers within the data revolution.  The concurrent sessions will address how we are going to meet the challenges of "big data" and how to solve data issues and build the nation.

The concurrent sessions will continue the barrier theme looking at the issues of:
  • Making Maximum use of our Data Assets: Confidentiality, privacy and cultural issues
  • Maximising use of our Information Assets
  • Making Maximum use of our Data Assets: Knowledge and capability issues

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