  Steering a complex system towards a desired outcome is a challenging task.
The lack of clarity on the system's exact architecture and the often scarce
scientific data upon which to base the operationalisation of the dynamic rules
that underpin the interactions between participant entities are two
contributing factors. We describe an analytical approach that builds on Fuzzy
Cognitive Mapping (FCM) to address the latter and represent the system as a
complex network. We apply results from network controllability to address the
former and determine minimal control configurations - subsets of factors, or
system levers, which comprise points for strategic intervention in steering the
system. We have implemented the combination of these techniques in an
analytical tool that runs in the browser, and generates all minimal control
configurations of a complex network. We demonstrate our approach by reporting
on our experience of working alongside industrial, local-government, and NGO
stakeholders in the Humber region, UK. Our results are applied to the
decision-making process involved in the transition of the region to a bio-based
economy.
