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Systemic-Risk Modelling

Supervisors

Suitable for

MSc in Advanced Computer Science
Mathematics and Computer Science, Part C
Computer Science and Philosophy, Part C
Computer Science, Part C
Computer Science, Part B

Abstract

A number of features of the digital environment create the potential for systemic risk, i.e., the possibility that a single event or development might trigger widespread failures and negative effects spanning multiple organisations, sectors or nations. These features include the interconnectivity of digital systems, homogeneity of devices meaning vulnerabilities may affect a large proportion of systems, and high dependency of organisations on service providers. This project would aim to develop models that allow analysis and quantification of the systemic risk that a population may face. The approaches used may include agent-based simulations and/or the development of harm trees.