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Workshops will be held on Friday 14 July. Please contact the workshop organiser for more information. Venues and exact times are still being confirmed and will be updated as soon as possible.


Bayesian ideas in pictures

Time: 9:00 am to 3:00 pm
Location: TBA
Organisers: Samantha Low-Choy and Daniela Vasco

This workshop has three parts, leading you through the ideas of Bayesian statistics, relying heavily on pictures. At first the pictures are used to illustrate core concepts of probability -- conditional probability, priors, and posteriors. This provides a foundation to understand the conceptual diagrams that can be used to communicate Bayesian models, as an alternative to mathematical equations.

1. Bayesian for Babies. Following Chris Ferrie's boardbook (ostensibly for parents to read to small children), we introduce the ideas behind Bayes' Theorem using cookies and candy (or biccies with smarties, in the local slang).

2. Bayesian for Toddlers. The baby steps of Bayes Theorem (part 1) are increased to toddler-sized steps, explaining how Bayes' theorem underlies Bayesian statistical modelling, which updates prior information to posterior information.

3. Bayesian via diagrams. Dynamic acyclic graphs (affectionately known as DAGs) provide the foundation for several statistical modelling frameworks. We show how to interpret models using DAGs, and understand the conceptual differences between different model choices. In addition, we consider how DAGs are used to represent uncertainty in different ways: for Bayesian networks (or Conditional Probability Networks) analysed using deterministic methods; or for Bayesian statistical models, analysed using Bayesian (prior-posterior) inference.

The workshop will include activities to help participants to discuss and explore concepts. It will suit beginners who are new to these ideas. It may also suit researchers who have used Bayesian statistical models or Bayesian networks before, but wish to deepen their conceptual understandings and ability to communicate complex ideas via pictures and diagrams.

How to build a spatial causal network

Time: 9:00 am to 12:00 pm
Location: TBA
Organisers: Kate Holland, Luk Peeters and Cameron Huddlestone-Holmes

The Geological and Bioregional Assessment (GBA) Program developed a new methodology based on causal networks (CN) to assess potential impacts due to resource development on water and the environment at a regional scale. The method provides a transparent and consistent way to understand and evaluate impacts, and outlines priorities for management, mitigation, and monitoring requirements. We published the methodology as a journal paper (Science of the Total Environment 802. Doi: 10.1016/j.scitotenv.2021.149845) and as a short technical report available from the GBA website (

GBA Explorer ( is an online interactive graphical presentation of the spatial causal networks that provides immediate access to node descriptions, link evaluations and an overall assessment summary. Users can visualise the entire causal network or simplify it by selecting specific pathways. Spatial data are also presented via interactive maps that include the spatial information used to inform the assessment and spatial impact maps.

This interactive workshop will be presented by the CN authors Kate Holland, Luk Peeters and Cameron Huddlestone-Holmes from CSIRO. After briefly reviewing the main points in the CN methodology, they will demonstrate the various tools and methods, illustrated by worked examples to show how to interpret results and acknowledge constraints.

The En-ROADS Interactive Climate Simulation Game

Time: 9:00 am to 1:00 pm
Location: TBA
Organisers: Emiliya Suprun, Oz Sahin and Russell Richards

The Climate Action Simulation is a highly interactive, role-playing game that engages a wide range of participants in exploring key technology and policy solutions for addressing climate change. It uses the cutting-edge simulation model En-ROADS, created by Climate Interactive and MIT Sloan. Participants will experience what it’s like to negotiate a climate deal to address one of the greatest human and environmental challenges of this century.

Format: The game is conducted as a simulated emergency summit organized by the United Nations that convenes global stakeholders to establish a concrete plan that limits warming to Paris Agreement goals. Participants propose climate solutions such as energy efficiency, carbon pricing, fossil fuel taxes, reducing deforestation, and carbon dioxide removal.

Target audience: policymakers, educators, businesses, and the public willing to explore, for themselves, the likely consequences of energy, economic growth, land use, and other policies and uncertainties, with the goal of improving their understanding.

Registration: Numbers are capped at 36, so get in quick and register here: If numbers are full when you register, please choose the option to go on the waiting list. 

Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) tutorial

Time: 9:00 am to 12:00 pm
Location: TBA
Organisers: Luca Trotter

The Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) is a flexible modelling framework designed to reproduce the behaviour of 47 published rainfall-runoff models in a consistent way. The tutorial will familiarise participants with the use of MARRMoT and will include a general introduction to the toolbox as well as practical application examples covering:

(1) formatting of input data
(2) how to run simulations with MARRMoT
(3) model calibration
(4) how to edit MARRMoT models.

Depending on the number of participants, we will allocate time to specific questions or applications.

Participants are expected to have their own computers for the workshop, running a licensed version of MATLAB.

Navigating a Career in Science: A professional development workshop for Early Career Researchers and Young Professionals

Time: 9:30 am to 12:30 pm
Location: Charles Darwin University Waterfront building, 21 Kitchener Drive, room WFD 03.19
Organisers: Anna Lintern, Danlu Guo, Fiona Tang, Nevenka Bulovic, and Pallavi Goswami

About the workshop

This is a professional development workshop for Early Career Researchers and Young Professionals starting out their career in academia, industry or government. The focus of the workshop will be on the topic “Industry-academia research collaborations and career transitions”.

Our speakers: 
Rory Nathan (Professor in Hydrology & Water Resources, University of Melbourne)
Lydia Cetin (Principal Hydrologist, Jacobs)
Sondoss El Sawah (Associate Professor in Engineering Management, University of New South Wales, Canberra)
Juan Sebastian Ossa Moreno (Senior Flood Engineer and Data Scientist, FloodMapp)

The workshop will give you an opportunity to hear from some of the outstanding senior researchers and professionals from diverse backgrounds with recognised achievements in navigating the industry-academia space and establishing strong connections. They will discuss their career journeys, key decisions they have made, challenges, and how they have overcome them. The speakers will also talk about strategies, challenges and opportunities in transitioning from academia to industry, or vice versa. They will share their experiences in identifying and establishing partnerships, building trust and communication, acquisition of grants and contracts, managing intellectual property, and maintaining long-term relationships. The event offers the attendees the chance to openly ask any question they may have regarding navigating a career in science as an ECR/ECP. There will be ample opportunities to learn and network.

Who should attend:
Anyone, and at whatsoever career stage, who is keen to learn from or contribute to the discussion.

Simulation-based Optimization: A tutorial with Python

Time: 10:00 am to 1:00 pm
Location: TBA
Organisers: Hasan Turan and Sanath Kahagalage

Tutorial Overview

Real-world systems and decision problems are often too complex to model and rarely analytically tractable to solve. Simulation modeling is a prevailing technique to alleviate these difficulties by capturing intricate relationships and uncertainties associated with such systems. With the recent advances in computational resource power, the use of simulation-based optimization algorithms for tackling decision problems (especially when closed-form analytical models provide poor estimations or do not exist at all) has been drastically increased.

In this tutorial, we will demonstrate how to implement and couple simulation models and optimization algorithms in Python programming language to provide hands-on experience for participants.

Tutorial Outline

  • A fast and furious introduction to Python and Jupyter notebook
  • A simple simulation model development in Python
  • Analytical versus simulation-based approaches
  • Developing and coupling optimization algorithms with simulation models

Who should attend

This introductory level tutorial is for PhD and Master students or Early Career Researchers who are new to simulation-based optimization and interested in using Python for their research. Even though the content in this course can be applied to a range of decision problems, the presented case study during the tutorial will be on supply chain management, particularly inventory optimization problems.

Pre-requests and required software

Some familiarity with Monte Carlo simulation modelling and optimization algorithms in particular meta-heuristics is required.

  • Python (Anaconda distribution)
  • Python libraries including Matplotlib, Seaborn, Numpy, etc.
  • Source codes will be shared over GitHub during the tutorial with registered attendees

Savanna SuperSite and Waterfall Tour, Litchfield National Park

Depart Darwin Convention Centre: 8:00 am
Return: 6:00 pm
Organisers: Lindsay Hutley, Matthew Northwood and Jo Owens
Numbers: Limited to 30 people, MODSIM2023 delegates only
Registration: Registration for this has closed sorry, maximum number has been reached.

What to bring: Lots of water (2L), packed lunch and snacks, enclosed walking shoes, sun protection and hat.

This field trip gives modellers an opportunity to visit the Terrestrial Ecosystem Research Network (TERN) Savanna SuperSite at Litchfield National Park where fluxes of carbon, surface energy balance and water use is collected for calibration/validation of satellite imagery products and modelling. The Litchfield SuperSite is located about 80 kms south of Darwin in the most popular national park in the Northern Territory. This TERN SuperSite and OzFlux site uses eddy covariance methods to monitor fluxes through time as well as observations of flora, fauna and microbial biodiversity, soils, fire and hydrology.

The Litchfield SuperSite is also a critical monitoring site in the Southern Hemisphere capable of providing ground reference measurements for seven key satellite-derived data products delivered by the Copernicus Global Land Service and the European Space Agency through their Sentinel missions.

The field tour will include visiting the Supersite with expert speakers who will outline the nature of Terrestrial Ecosystem Research Network (TERN), the Supersite and OzFlux networks, site research aims and measurements as well as the flux tower and technical specifications. On the way back from the site, we will stop at Florence Falls or ‘Karrimurra’ in the local indigenous language, a spectacular double waterfall within the park where we will have lunch and cool off in the superb plunge pools!

For more info on Litchfield Savanna Supersite, please visit: