Dione Complex Systems

What We Do

Dione Complex Systems provides services to install and customise DIONE for organisations, complemented with consulting, training and support services to enable them to use it with maximum effectiveness to support their decision making processes. DIONE's data analytics and simulation capacities will enable application of scientific research results to critical decision making and risk management in complex situations. Application areas include, for example, economic and social policy, public health, prediction of business performance and strategic planning, and effectiveness of policy measures as related to their environment.

Given enough detail about a complex system obtained through knowledge discovery from data, a sophisticated simulation model would enable accurate prediction of its behaviour. Another possibility is to develop less detailed models capturing essential characteristics of a complex system, enabling evaluation of various scenarios by running simulations with different assumptions and parameters. This will assist decision making processes by providing insight in the essential characteristics of the operation of complex systems.

In the long term the objective of Dione Complex Systems is to provide an essential service to science, public policy, industry and commerce by enabling application of state-of-the-art scientific developments in knowledge discovery and complex system simulation to optimise decision making in areas such as social, economic and environmental policy, public health, and business strategy.

Dione Complex Systems has applied the Emergent Models methodology to a research project on flood event management commissioned by the British Environment Agency (search product code SCHO0307BMIO). Systems involved in floods and other emergencies are complex systems with many interacting components and involving changing situations, risk and uncertainty. The Emergent Models methodology can fruitfully be applied to such systems, modelling them as multi-agent systems with agents at different levels, such as human society and the national economy at the highest level; cities, towns, communities, groups and emergency response organisations at an intermediate level; and individual decision makers, forecasters and stakeholders at the lowest level. These agents are interacting with each other and the environment.