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Streams and Sessions for MODSIM2021 are listed below.

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A. Applied and computational mathematics

Stream Leader: Barry Croke

The Applied and computational mathematics stream focuses on mathematical contributions to modelling and simulation. This includes development, application and testing of algorithms used in data analysis, model formulation (including component integration), sensitivity analysis and uncertainty quantification. Examples of areas of interest include inverse problems, machine learning, and industrial applications.

B. Biological systems

Stream Leaders: Malcolm McPhee and Val Snow

Biological Systems welcomes session proposals from a wide range of modelling styles: mathematical, mechanistic process-based, agent-based, systems dynamics, and/or data science approaches. Topics can be inclusive of models and simulation from descriptions, to development, to applications. Past sessions have included: uncertainty and sensitivity analysis, image analysis, machine learning and artificial intelligence, advances in agent-based modelling, pastures and rangeland modelling, and food webs.

C. Computer science and engineering

Stream Leaders: Min Chen and Dan Ames

The ways of sharing resources, integrating models, and building simulation from various disciplines in the open web environment are changed by emerging Information and Communications Technologies (ICT), such as cloud computing, edge computing, blockchain, and high-performance computing and high-speed Internet. We encourage the submission of session proposals, which provide further insights to promote the ways and support decision making to solve complex environmental issues, with advanced ICT.

E. Energy, integrated infrastructure and urban planning

Stream Leaders: John Boland and Pascal Perez

The Energy, integrated infrastructure and urban planning stream focuses on multiple ways infrastructure networks, systems and services contribute to urban growth, regional development, better liveability and enhanced productivity. Smart data analytics, digital twins, real-time modelling and complex network optimisation are becoming essential instruments for planning, managing, protecting and upgrading these systems. The stream accommodates sessions that address specific aspects of the data and modelling advances in this domain.

F. Environment and ecology

Stream Leaders: Stefan Reis and Shawn Laffan

Modelling, simulation and software systems play a pivotal role in our understanding of environmental and ecological systems. Complex interactions and relationships require environmental modelling and software tools to underpin and improve decision making in policy and regulatory contexts. Advances in data science, machine learning and approaches to harness big data are key to tackle vast challenges of environmental degradation and global climate change. We encourage the submission of sessions which focus on the development of generic frameworks and integration of models across issues, scales, disciplines and stakeholders. The stream will accommodate sessions spanning a scope from advances in modelling, software and simulation, to the application of novel data science concepts in decision support.

G. Global change and natural hazards

Stream Leaders: Jason Evans and Christoph Rudiger

In the stream we are interested in all aspects of global change and natural hazards and their interactions. Topical streams may include modelling of natural hazards such as drought, heatwaves, hail, tropical cyclones, earthquakes, and tsunamis. It also covers modelling of global change issues such as climate change, land degradation (including desertification), and the relevance for United Nations sustainable development goals. Modelling of the phenomena, their impacts on human and natural systems, potential techniques for adaptation, and the use of remote sensing data to address these, are all of interest.

H. Health and biosecurity

Stream Leaders: Louise Freebairn and Irene Hudson

The Australian bushfires and COVID-19 pandemic brought into sharp focus the importance of data and systems science methods to support evidence-based decision making for population health. The Health and Biosecurity stream will focus on latest developments, applications and challenges for health and biosecurity modelling, including, but not limited to communicable disease, chronic disease, health services and systems, human behaviour and health, climate change and environmental exposures and health risks.

I. Participatory decision making and modelling social systems

Stream Leaders: Oz Sahin and Kate O'Brien

This stream focuses on all aspects of the human and cultural dimensions of modelling socio-ecological systems (human-environment interactions) using participatory modelling approaches. In particular, this stream welcomes models that integrate key drivers, processes and responses that interact within, and have feedback on, the system that is being investigated. Often, these models incorporate a combination of knowledge and data from a variety of sources, including participation and collaboration of researchers from diverse domains, decision-makers and other stakeholders. Suitable content for this stream includes model development, data and knowledge management, pedagogical culture, application, case-studies, theory, practice, challenges, opportunities and insights into integration for modelling socio-ecological systems through incorporating participatory approaches.

J. Water resources

Stream Leaders: Jai Vaze and Tim Peterson

The Water Resources stream focuses on research into hydrological processes and hydrological modelling tools (landscape and river system) that advance our understanding and management of surface water and groundwater at catchment, regional and continental scales over time scales from hours to decades.

We encourage submission of session proposals that deal with (but not limited to):

  • water balance tools that integrate models and multiple data sources to deliver aggregated national and regional water accounts
  • hydrological modelling frameworks for national and regional water assessments, including those informing environmental flows, flooding and climate change
  • data-driven studies that inform our understanding of hydrological change and dynamics, both historically and under climate change
  • fully coupled surface water, groundwater and river system models (with uncertainty quantification) for development of catchment and basin water management and sharing plans
  • improved understanding of hydrological processes and hydrological modelling methods through model-data fusion (parameterisation, reanalyses and calibration against multiple data sources), system-wide calibration of water balance components (catchment rainfall-runoff, river routing and losses).

K. Hydroclimate

Stream Leaders: Yongqiang Zhang and Conrad Wasko

This stream focuses on the research fields between climate and hydrology. With continuous climate change in the past several decades and the foreseeable future, our understanding of the hydroclimate continues to evolve, and the complexity in forecasting, predicting, simulating, or attributing change, means many processes, and their interactions, remain not completely understood. However, new data sets, statistical tools, modelling techniques, and advances in computing are all providing us opportunities to improve the understanding of the hydroclimate. We invite session proposals from a wide variety of disciplines that analyse and model all aspects of the hydroclimate, from rainfall, to streamflow, evapotranspiration, groundwater, temperature, and their related hazards. We encourage session proposals aiming to improve our process understanding, untangle uncertainties, and attribute changes across all time and spatial scales in the hydroclimate.

L. Water quality

Stream Leaders: Andrew Western, Danlu Guo and Anna Lintern

Poor water quality has social, economic and environmental consequences, and maintaining good water quality is key to sustaining human life. While we still need to understand fundamental water quality processes, we increasingly have a need to model new and emerging water treatment systems, emerging chemicals, the impacts of climate change and land and water management on water quality, and interactions between socio-economic systems and water quality. We invite session proposals that focus on monitoring, modelling and analyses of all aspects of water quality across all environments   including natural, agricultural, urban, peri-urban catchments, as well as rivers, groundwater, lakes, estuaries and other receiving waters.


Stream Leaders: David Marlow and Hasan Turan

The Operations Research (OR) stream seeks high-quality contributions from across the broad spectrum of OR methods, techniques and applications in academia, defence and industry. Techniques may include (but are not limited to) mixed integer-linear programming, constraint programming, metaheuristics, and modelling and simulation through to more recent approaches in matheuristics, artificial intelligence (AI), machine learning (ML) and data sciences (DS). AI, ML and DS are especially pertinent given the conference theme. Applications areas may include (but are not limited to) defence, transport, logistics, mining and healthcare. Defence OR submissions are particularly sought in areas such as Force Design, Modelling Complex Warfighting, and the new Science Technology and Research (STaR) Shots. We encourage collaboration between academia, defence and industry in both session proposals and paper submissions.

N. Advances in microsimulation modelling

Stream Leaders: Robert Tanton and Jinjing Li

This session, which is co-organised with the International Microsimulation Association (IMA), calls for papers covering advances in microsimulation modelling and their applications to addressing social, economic and environmental policy change. The topics of the session cover both theoretical and practical applications of microsimulation modelling and models covered include static, dynamic, spatial, behavioural and demographic models. It will be of interest to creators and users of microsimulation models in government, academia and the private sector. While the focus is on applied models that feed into policy debate, the session also covers theoretical advances in microsimulation modelling, including links to macro-economic models; nowcasting; and adding behavioural elements to microsimulation models.