Generic Simulation

Prequalified Simulation Support Capability

For six consecutive years, IGOR maintained prequalified-provider status under successive national-government standing-offer arrangements for simulation support.

The recognised capability encompassed simulation strategy and management, interoperability, human and organisational considerations, data, through-life support and specialist advisory services.

This demonstrated IGOR’s capacity to support large, complex institutions in developing, integrating and sustaining simulation capability over time.

Predictive modelling of a complex command organisation

IGOR contributed to the development of a predictive simulation of a large operational headquarters and its position within a wider command-and-control system.

The work required a multidisciplinary team spanning psychology, computer science and mathematics. Organisational relationships, information flows, decision pathways and human variables were identified through research with personnel inside the organisation and translated into a computational representation of the operating system.

The model was refined iteratively and run under different conditions to investigate how changes to organisational structure and interaction could influence efficiency and operational effectiveness. This allowed possible arrangements to be examined before changes were made within the real organisation.

The engagement demonstrates how IGOR integrates behavioural research, systems analysis and computational modelling to support the design and evaluation of complex organisations.

Bringing human behaviour into systems models

A computational model can represent connections between people, groups and organisations without adequately explaining what those connections mean or how they influence behaviour.

IGOR supplied sociological and anthropological expertise to a multidisciplinary modelling team whose technical model required stronger social foundations. Our specialists identified the theories, contextual factors and human dynamics needed to interpret the available data and helped translate them into variables and rules suitable for computational modelling.

Embedding these social dimensions produced a richer and more credible representation of the system. It improved the model’s capacity to explore how relationships, social structures and patterns of behaviour might shape possible outcomes.

This work illustrates IGOR’s role at the boundary between human science and technical modelling: helping computational teams represent people and social systems with greater rigour.