2nd Annual IEEE Systems Modelling Conference
Adams Auditorium, UNSW Canberra
Systems thinking and modelling (ST/SM) is the science of integration, where every system is conceptualised as a set of inter-related components. ST/SM enables researchers to answer several questions, such as how an assumedly pure-technical/infrastructural system co-evolves with the society and economy, how a system can result in unexpected behaviours in long-term, and how we should be prepared to deal with unexpected surprises and shocks. The Capability Systems Centre at UNSW Canberra in partnership with IEEE presents a one day conference on the use of whole-systems approaches to design and manage complex problems in socio-technical and socio-ecological systems. The day-long conference features showcases on the use of ST/SM in a wide range of areas. This event provides a platform for researchers and practitioners to communicate about scientific and practical aspects of real-world problems, receive feedback, and share learning lessons. It also provides a unique networking opportunity among people from academia, industry and government for initiating future collaborations. After the successful inaugural conference in 2017, the Capability Systems Centre in partnership with IEEE proudly presents the Systems Modelling Conference on 4 October 2018 at UNSW Canberra at the Australian Defence Force Academy.
Leveraging the power of multi-methods in model-based decision analysis and problem solving
Systems modelling is a crucial approach for decision-making associated with real-world systems. The-state-of-the-art in systems modelling does not rely one dominant modelling technique, one group of analytical methods, one ultimate model, or one set of input data or parameters for an effective decision analysis and problem solving. Consequently, decision makers have available a wide range of modelling and analytical approaches that have differing strengths and limitations and can address some aspects of decision problems better than others.
Mixing different approaches has been encouraged increasingly within the broader community of systems modelling and simulation for improving the effectiveness of decision-making processes and for leveraging the power of model-based decision analysis and problem solving. Mixing approaches enhances the capability of individual approaches by allowing modellers to overcome the limitations of one approach through the strengths of others. To investigate different aspects of this emerging topic, the Systems Modelling Conference 2018 takes a multi-methods design lens towards systems modelling and analysis and aims to explore a variety of possibilities that different techniques and approaches, at different levels, can be mixed to build confidence in our decision insights and final modelling results. This theme has an interdisciplinary perspective which cuts across various scientific fields, such as integrated environmental modelling, operations research, systems thinking, and systems modelling and simulation, with application domains, such as energy, water, biodiversity, transportation, health, and defence. This year’s conference also focuses on the nexus of research and education, the researchers and students who use multi-methods approaches in academia and practitioners and policy makers who use these approaches at organisational or national level. As such, scholars and stakeholders are invited to make submissions addressing one or more than one of the following areas:
- The benefits of multi-method design in decision analysis and problem solving (such as mixing exploratory modelling approaches with established models to cope with uncertainties in decision making),
- The design principles (workflows, methodologies, processes, etc.) for picking mixing approaches (such as integration, sequential, and parallel mixing of methods),
- Lesson learnt from previous multi-method works (such as combing participatory approaches with modelling techniques, mixing simulation and optimisation methods, and using multiple-- systems dynamics, agent-based, discrete event--simulation modelling approaches),
- Packing methods and algorithms as a toolbox (such as the Exploratory Modelling Workbench as an online platform toolbox).
- Dr Katherine Daniell, Senior Lecturer, Fenner School of Environment and Society, Australian National University
- Professor Brett Bryan, Professor of Global Change, Environment and Society, Deakin University
Associate Professor David McCarthy, Environment and Public Health Microbiology Lab (EPHM Lab), Civil Engineering Department, Monash University