Not just business models ...

The method behind our business models - system dynamics - is much more general. Its rock-solid principles apply to any social, economic, environmental domain, and more. It has been used to tackle challenges, from small, local issues up to truly global problems in:

  • Healthcare and public health
  • Economics
  • Defence and security
  • Environment
  • Justice
  • Social care
  • Education
  • Transport
  • Natural resources
  • ... and more

Below are some courses on non-business topics ...  

The "Agile SD" approach to building any system dynamics model

The fast, reliable way to get to a working, quantified dynamic model of any issue or plan, in any field.

This short course, using a recognisable case about policing, takes you through a logical, rigorous process:

  • Fast - actionable insights sometimes in minutes
  • Models are validated continually and easily
  • No specialist knowledge required
  • Easily understood by users
  • More reliable than traditional modeling methods*.

* Traditionally, people have been taught to start system dynamics models by eliciting from stakeholders "causal loop diagrams" (CLDs).  These qualitative maps purport to capture all significant elements in the system, the causal links between them, and the feedback loops that may drive the system's behaviour. Those CLDs are then converted into quantified working models by modeling experts, then validated.

In our experience, this process takes too long, costs too much, frequently fails to produce valid models, and can only be done by professionals with much experience.

The course explains more about these issues

How to build an SIR infectious disease model

"SIR" models describe how, for any infectious disease, individuals in a population move from being Susceptible to Infected, and then to Recovered. (Additional states may include  Exposed-but-not-infectious and Deceased, leading to SEIR or SEIRD models).

This short course takes you through the key steps to build a system dynamics SIR model for an illustrative disease. Advantages over other tools for such disease modeling:

  • Fast
  • Easily validated 
  • No specialist knowledge required
  • Easily understood by users