Project Pipeline

Dynamic Modeling of Bacterial and Organizational Colony Networks for Coordinated Response to Influenza

(Liaquat Hossain, Faculty of Engineering & IT; Tania Sorrell, Sydney Institute for Emerging Infectious Disease and Biosecurity; and John Crawford Faculty of Agriculture, Food and Natural Resources)
We propose to develop biologically inspired dynamic social network algorithm for developing robust monitoring, prediction and evaluation of the spread of infections as well as the robustness in coordinated response to infections. In our proposed study, new bio inspired dynamic network algorithms would be developed to perform the real time monitoring of spread of infections which would be used to perform optimized link prediction in a distributed spread of infections network. The outcome of our study would lead to the development of not only new optimized approach to monitor and link prediction of the spread dynamics of the bacterial colony, but also to explore the robustness of organizational colony of Area Health Networks in responding to the infections optimally.

BISoN: A Biologically-Inspired Social Network Framework for Coordinated and Adaptive Emergency Response

(Liaquat Hossain, Faculty of Engineering & IT; John Crawford, Faculty of Agriculture, Food and Natural Resources)
We propose to explore complex adaptive coordination structures from social, biological and life networks perspective. Traditionally, within studies of coordination, there has been a discounting or neglect of social networks as a source of exploring the inherent relationships among actors, their activities, shared goals and interdependencies. Coordinating operations requiring more 'collaborative problem solving' involving officials and local communities is underscored in recent studies. Our aim is to create more effective, efficient and robust information network systems for decision making during crisis events and for post-crisis analysis.

Adaptive multi-agency response coordination for managing distributed disease outbreaks

(Liaquat Hossain, Faculty of Engineering & IT; John Crawford, Faculty of Agriculture, Food and Natural Resources)
This is an ambitious project aimed at combining knowledge and theory from sociology, biology, information systems, and mathematical and economic sociology to analyse disease outbreak coordination dynamics involving Australian multi-organizational disease-outbreak responses from a self-organization perspective. To achieve this, we will draw on the strengths of strong- and weak-tie theories, and structural holes theory, with theoretical analyses from the study of adaptive and self-healing biological network dynamics. The outcomes will position Australian and overseas authorities to mount significantly more effective responses to sudden, unpredictable disease outbreaks, whether arising accidentally or through bioterrorism.