Data-informed simulation modelling in health – with Professor Nate Osgood


The Australian Prevention Partnership Centre is hosting a master class delivered by Professor Nate Osgood, an international expert in multi-method dynamic simulation modelling.

Date: 20-24 February 2017
Time: 8.30am – 5pm
Location: The University of Sydney (room TBC), Camperdown, NSW

The five-day master class will provide hands-on instruction in using the AnyLogic simulation modelling package and statistical techniques to link agent-based and hybrid dynamic models with disparate data sources, including big data from smartphones. Experienced health modellers will help participants to design and build models in their own area of interest.

Examples include a wide range of health topics including prevention of
chronic disease, public health interventions for lifestyle risk factors, health service management, infectious disease surveillance, and clinical decision support applications. Participants will be able to refine their skills in dynamic simulation modelling for the health sector and to effectively inform these models using disparate data sources.

Participants will learn:

  • Problem formulation and model conceptualisation
  • Modelling patterns and generating processes
  • How to build empirically grounded agent-based and hybrid models
  • Calibration and sensitivity analysis
  • Evaluation/validation of dynamic models
  • Scenario evaluation
  • Resource-constrained decision support
  • Data pre- and post-processing
  • Particle filtering

The Australian Prevention Partnership Centre is hosting a master class delivered by Professor Nate Osgood, an international expert in multi-method dynamic simulation modelling.

Date: 20-24 February 2017
Time: 8.30am – 5pm
Location: The University of Sydney (room TBC), Camperdown, NSW

The five-day master class will provide hands-on instruction in using the AnyLogic simulation modelling package and statistical techniques to link agent-based and hybrid dynamic models with disparate data sources, including big data from smartphones. Experienced health modellers will help participants to design and build models in their own area of interest.

Examples include a wide range of health topics including prevention of
chronic disease, public health interventions for lifestyle risk factors, health service management, infectious disease surveillance, and clinical decision support applications. Participants will be able to refine their skills in dynamic simulation modelling for the health sector and to effectively inform these models using disparate data sources.

Participants will learn:

  • Problem formulation and model conceptualisation
  • Modelling patterns and generating processes
  • How to build empirically grounded agent-based and hybrid models
  • Calibration and sensitivity analysis
  • Evaluation/validation of dynamic models
  • Scenario evaluation
  • Resource-constrained decision support
  • Data pre- and post-processing
  • Particle filtering

About Professor Nate Osgood

Sax Institute Big Data Forum 040516.Professor Osgood is an Associate Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology, and Division of Bioengineering at the University of Saskatchewan. His research is focused on providing and applying cross-linked simulation, ubiquitous sensing and computational statistics methods to inform understanding of population health trends and health policy trade-offs.

He has been applying dynamic modelling to improve decision making – with a particular focus on health – for more than 25 years, with contributions in the communicable, chronic and zoonotic disease areas, and to social and environmental epidemiology and tobacco policy.

Professor Osgood has contributed multi-scale modelling and other approaches that hybridise agent-based models with system dynamics and social networks analysis approaches, techniques combining dynamic modelling with Markov Chain Monte Carlo and Sequential Monte Carlo statistical methods, combining simulation models with decision analytic approaches, and novel languages, scale-modelling approaches and architectures to reduce barriers to use of agent-based models.

Data-informed simulation modelling in health


Registration link
: Click here to register
Payment details will be sent following registration

Ticket prices:
Including GST:
• Students $1100
• Academic and public sector $2200
• Corporate and private sector $3960
Lunches and morning and afternoon teas will be provided.

Contact:
For more information contact Nick Barker-Pendree
Email: nicholas.barker-pendree@saxinstitute.org.au
Tel: (02) 9188 9520