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A Digital Twin for Population Ageing in Australia: Data Visualisation and Societal Complexity

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A Digital Twin for Population Ageing in Australia: Data Visualisation and Societal Complexity

  1. 1. A Digital Twin for Population Ageing in Australia: Data Visualisation and Societal Complexity Presenter Hamish Robertson, PhD Faculty of Health University of Technology Sydney
  2. 2. Contents Introduction The digital twin concept Updated population ageing Environmental complexity Epidemiology of ageing – dementia(s) Managing complexity in situ and at scale Conclusion
  3. 3. Introduction • Australia’s population is ageing – not unique BUT variable across a large and complex geography • Environmental problems rising in variety, frequency, severity and complexity e.g. recent flooding events, bush fires, infectious disease • Complexity means variables intersect and produce potential additional effects e.g. Covid, population move to regions, housing pressures etc. etc. • How to better manage resource limitations, planning and policy limitations and dynamic human-environment interactions? • Explore the idea of a digital twin approach to population ageing
  4. 4. The digital twin concept • Key manufacturing concept being translated/transferred into other domains e.g. healthcare and the virtual hospital • Aged care complex with multiple data sources requiring integration/analysis/response/application • Spatial digital twinning -> physical reality plus the map plus data in ‘real time’ Google Earth concept – data+time/temporality+scale+tilt/pan/angle of view • Google Maps developments • Facebook Reality Labs: LiveMaps • Uber and related MAAS data analysis
  5. 5. Uber and Live Data Visualisation and Analysis
  6. 6. Google Earth Updates and Timelapse Function
  7. 7. Updated and updating population ageing • 2021 Census results coming on stream • dynamic demography over time and geography -> localized and regional effects • Non-linear effects and environmental/infrastructure changes e.g. an ageing area in 2006 is no longer ageing in 2021 • AIHW projections will require updating and very soon
  8. 8. Age-Sex Pyramids by Year and Geography
  9. 9. Estimated Dementia Prevalence in 2020
  10. 10. Estimated Dementia Prevalence in 2032
  11. 11. Spatially Enabled Dashborading
  12. 12. Healthcare Expenditure by Age and Sex
  13. 13. Major Areas of Expenditure
  14. 14. Virtual Earth with Census Data 2006-2021
  15. 15. Managing complexity in situ and at scale • Growth in digital data across multiple systems brings risks and benefits • Risks - very obvious e.g. Medibank, Optus etc. • Benefits – digital twinning of complex and dynamic phenomena • Faster, more accurate modelling and updates – efficient use of funds and resources, more timely responses (lead versus lag) • Converging on a digital twin environment that includes spatial, temporal and structural information • Capacity to reconfigure and extend emerging scenarios quickly
  16. 16. Conclusion • An evolving concept with potential for health and aged care • New data sources add to credibility of modelling • New techniques being applied e.g. AI, GeoAI • Literacy skills and critique issues • Tertiary and aged care sectors need to collaborate more directly • Twinning for improvements across a challenged system of care

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