The Defence and Security sector is increasingly facing a myriad of trans-national and trans-genre conflicts on a global scale, where the patterns in violence and underlying relationships are shifting rapidly. The directly- and indirectly-related data is overwhelming.
Of immediate interest to Defence and Security operations is the ability to automate the identification of future conflict areas (from a region to within a city) for high fidelity analysis and policy/action advice. Of long-term interest is the ability to understand the dominant interaction forces that give rise to conflict.
This work will complement existing Defence and Security intelligent data systems to:
1) automate identification of future conflict areas to improve consistency and reduce expenditure;
2) improve understanding of causal mechanisms by quantifying interaction effects;
3) transform network theory into military actionable tasks.
The proposal aims to identify multi-scale population areas that are at risk of conflict. Conflict, or the threat of it, is often caused by contentious interactions between groups. Scientifically, the research utilises the latest developments in complex networks and spatial interaction theory by Sir Alan Wilson to model the effect of multiplexed regional-global interactions.
If you are interested in joining this project, a new opportunity is now open for a research assistant to lead the implementation/development of interaction and network based mathematical algorithms for conflict prediction.