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Papers listed by session

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* Please note this includes full papers only

Applied and computational mathematics

Stream leader: Barry Croke

B. ASOR – DORS

Stream Leaders: Simon Dunstall and Arvind Chandran

C. Biological systems

Stream Leaders: Malcolm McPhee and David Mayer

  • C4. Advances in agent-based modelling and their statistical challenges in biological, ecological and agricultural systems
  • C6. Pasture and rangelands system modelling

D. Computer science and engineering

Stream Leaders: Tim Peterson and Nicholas Car

  • D3. Cloud and web applications for environmental data analysis and modelling

E. Economics and finance

Stream Leaders: Michael McAleer and Chia-Lin Chang

F. Energy, integrated infrastructure and urban planning

Stream Leaders: John Boland and Pascal Perez

  • F4. Urban observatories and city benchmarking
    • Session Organisers: Cole Hendrigan and Gideon Aschwanden   Session description
    • Meta-moderation for crowdsourced disaster management and urban participatory applications
      Ogie, R.I., Amirghasemi, M. and Perez, P.
      https://doi.org/10.36334/modsim.2019.F4.ogie
    • Multi-objectives optimisation framework: A comparative study on the relationship between urban block typologies and key environmental performance indicators in Tianjin Eco-City
      Raharjo, G.P., Heng, C.K., Zhang, J., Sun, X.F., Chao, Y.H. and Shao, M.Q.
      https://doi.org/10.36334/modsim.2019.F4.raharjo
  • F5. Modelling the impact of low carbon energies

G. Environment and ecology

Stream Leaders: Andre Zerger, Brett Bryan and Grant Hamilton

  • G2. Modelling complex human-natural systems under uncertainty: advances of participatory and computational approaches
  • G3. The role of modelling and simulation to supporting evidence-based decision making in agriculture and biosecurity: science meets policy
    • Session Organisers: Hazel Parry, Justine Murray and Matt Hill   Session description
    • Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
      Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Williams, D.
      https://doi.org/10.36334/modsim.2019.G3.parry
  • G4. Integrating translational ecology in freshwater systems
    • Session Organisers: Ashmita Sengupta and Danial Stratford   Session description
    • Integrated approach for predicting impacts of future climate and land-use changes on macroinvertebrates in a Mediterranean catchment using GF, SWAT and HEA models
      Sultana, J., Recknagel, F., Nguyen, H.H. and Tibby, J.
      https://doi.org/10.36334/modsim.2019.G4.sultana
  • G7. Integrated modelling and data science for environmental and human health
  • G9. Informatics and machine learning for ecology and agriculture

H. Global change and natural hazards

Stream Leaders: Jason Evans and Christoph Rudiger

  • H1. Global change population and economic risk assessments and risk-informed decision-making: modelling and simulation
  • H5. New approaches to measure and model the dynamics of rivers, wetlands and constructed water bodies
  • H6. Earth observation data assimilation for improved land surface modelling

I. Health informatics

Stream Leaders: Louise Freebairn and Irene Hudson

  • I1. Modelling cancer, chronic disease, and safety data in translational research
  • I2. Health care decision support: applications and challenges
    • Session Organisers: Louise Freebairn, Jo-An Atkinson, Shaowen Qin and Ante Prodan   Session description
    • “Stopping before you start”: Reducing and preventing initiation of tobacco use in the ACT
      Freebairn, L., Kreuger, K., Watson, C., Yang, O., Prodan, A., Graham, K.I., Draper, G., McDonnell, G., Nixon, E. and Atkinson, J-A.
      https://doi.org/10.36334/modsim.2019.I2.freebairn
  • I3. Data science and simulation modelling methods in the health sector
  • I4. Climate change and health – risks, health metrics and alerting

J. Participatory decision making and modelling social systems

Stream Leaders: Gregory Summerell and Oz Sahin

  • J1. Integrated participatory systems approach for modelling socio-ecological systems
  • J4. Application of new data, visualisation, analytics and decision support tools/systems for increasing climate resilience of infrastructure systems
  • J5. Science for sustainability: learning how to successfully use modelling and simulation to promote sustainability at the science-for-policy and science-for-management interfaces
    • Session Organisers: Greg Summerell and Keith Matthews   Session description
    • Science for Sustainability: Using Societal Metabolism Analysis to check the robustness of European Union policy narratives in the water, energy and food nexus
      Matthews, K.B., Waylen, K.A., Blackstock, K.L., Juarez-Bourke, A., Miller, D.G., Wardell-Johnson, D.H., Rivington, M. and Giampietro, M.
      https://doi.org/10.36334/modsim.2019.J5.matthews
    • Synthesising multiple observations into annual environmental condition reports: the OzWALD system and Australia’s Environment Explorer
      Van Dijk, A.I.J.M. and Rahman, J.
      https://doi.org/10.36334/modsim.2019.J5.vandijk
  • J6. Optimisation methods and applications to socio-environmental principle-agent problems
  • J7. Integrated assessment and modelling for understanding pathways for socio-environmental systems: case studies of impact
    • Session Organisers: Lilly Lim-Camacho, Wendy Merritt and Serena Hamilton   Session description
    • Integrated assessment frameworks for understanding pathways for socially inclusive agricultural intensification
      Hamilton, S.H., Merritt, W.S., Lim-Camacho, L., Carter, L., Cosijn, M. and Roth, C.H.
      https://doi.org/10.36334/modsim.2019.J7.hamilton
  • J9. Being socially inclusive in your modelling practices: what does this mean and what are the benefits?

K. Water resources

Stream Leaders: Francis Chiew and Jai Vaze

  • K6. Modelling eco-hydrological processes at different spatial and temporal scales
  • K8. Advances in large scale hydrological modelling to improve assessments of water availability in a changing world
  • K9. Enabling better water resources decision making in the face of uncertainty
  • K10. Land surface observation and assimilation: data-model integration approach for improved hydrologic prediction and water resources management
    • Session Organisers: In-Young Yeo, Jeff Walker, Xiaoling Wu and Medhi Khaki   Session description
    • Using an artificial neural network to enhance the spatial resolution of satellite soil moisture products based on soil thermal inertia
      Senanayake, I.P., Yeo, I-Y., Willgoose, G.R., Hancock, G.R. and Bretreger, D.
      https://doi.org/10.36334/modsim.2019.K10.senanayake
  • K13. Advances and applications in hydrometeorological forecasting
    • Session Organisers: Tze Ling (Seline) Ng, Céline Cattoën-Gilbert, David Robertson, James Bennett, QJ Wang and Mark Thyer   Session description
    • Estimating Lake Mulwala diversions for calibration of a semi-distributed hydrologic model of the Murray River
      Ng, T.L., Robertson, D.E. and Bennett, J.C.
      https://doi.org/10.36334/modsim.2019.K13.ngTL
  • K15. Advances in water quality modelling and analysis
  • K18. Groundwater hydrology
    • Session Organisers: Tim Peterson, Elisabetta Carrara and Willem Vervoort    Session description
    • Quantifying the contribution of multiple factors to land subsidence using artificial intelligence technology in the typical area of Beijing, China
      Cheng, R., Zhu, L., Li, H., Yu, J., Guo, L., Hu, L. and Li, Y.
      https://doi.org/10.36334/modsim.2019.K18.chengR
  • K25. eWater Source for river basin modelling
  • K28. Understanding hydrological processes in a changing environment