Simulation, Modelling & Experimentation
IGOR uses simulation and modelling to explore how people, organisations, technologies and systems may behave under different conditions.
By representing interactions and relationships within a system, we can test assumptions, explore alternative configurations and examine outcomes that may be difficult, costly or impossible to investigate directly in the real world.
We combine human science, systems thinking and computational methods to:
- model human, social and organisational behaviour;
- explore emergent outcomes across repeated simulation runs;
- conduct human-in-the-loop experimentation;
- measure cognitive workload, fatigue and performance;
- test alternative organisational and system configurations;
- evaluate technologies under realistic or simulated conditions;
- generate evidence for capability, design and investment decisions;
- represent interactions and dependencies within complex system; and
- explore future scenarios and alternative courses of action.
Experience
Our simulation and experimentation work has supported:
Our simulation, modelling and experimentation work has supported complex organisational decision making, technology evaluation, capability development, future planning and experimentation across large-scale human and technical systems.
Selected work
Predictive Organisational Behaviour
IGOR developed computational models to explore how organisational structures, information flows and decision-making processes interact within complex organisations. Simulation allowed alternative configurations to be examined and potential emergent behaviours identified before changes were implemented.
Modelling Human and Social Systems
IGOR integrated sociological and anthropological theory into computational models to improve the representation of human and social behaviour. The approach enabled complex behavioural interactions to be explored within simulated environments rather than treating people as isolated components.
Modelling Cognitive Workload
IGOR modelled how information flow, system demand and task requirements affect human workload and performance. The approach provided a way to examine the relationship between system design and human performance under different operating conditions.
Human Performance in Simulated Environments
IGOR used simulation to investigate how physical stress, motion, fatigue and environmental demands affect cognition, decision making and technology use. The approach allowed human performance to be examined under controlled conditions that would be difficult to reproduce consistently in the real world.
Decision Support and Future Scenarios
IGOR developed simulation and analytical approaches to explore future scenarios, future forecast simulation, experimentation and heuristic analysis to a complex decision-support environment. The work formed part of an international distributed network of simulation capability for global decision support.
Building Experimentation Capability
IGOR helped establish an organisational capability for designing, conducting and analysing experiments into future systems and capabilities. The work combined experimentation methodology, specialist expertise and practical delivery so that organisations could generate evidence about future options through structured experimentation.
Establishing Simulation Capability
IGOR provided sustained simulation expertise to develop an enduring experimentation and simulation capability for decision support within a large organisational environment. The iterative development of the capability relied on the monthly experimentation activities designed and coordinated by IGOR.
MAKE SENSE OF YOUR COMPLEX SYSTEM
IGOR works with organisations seeking to understand how people, technologies, information and organisational structures interact within complex systems — and to determine what needs to change for those systems to work better.
