Cambridge University


Cambridge_LogoCambridge have expertise in environmental and social systems modelling, including coupling of agent-based techniques to ecological and hydrological/flooding simulations, and use of parallel techniques and agent modelling[1], [2] to extend models to large scale, extreme geohazards, such as volcanism, their potential risk and societal impact[3] [Donovan; Oppenheimer]. The new Cambridge Big Data Centre is a cross-department strategic research initiative designed to draw together expertise in analysis, modelling and use of large data sets across the university, fostering linkages between disciplines, taking advantage of one of the largest HPC facilities in the UK. Other risk related groups include the centre for climate science, the strategic initiative in Global food security, the centre for risk studies at the Judge Business School and the centre for the study of existential risk. The Cambridge Centre for Science and Policy draws on direct linkages to business and policy makers through policy fellowships and workshops, facilitating communication of research results directly to those involved in implementation of strategy dealing with real world risk related issues[4].

[1] Parry, H., and Bithell, M., (2011), Large scale agent-based modelling: a review and guidelines for model scaling. In Agent-Based Models of Geographical Systems, Heppenstall, A.; Crooks, A.; See, L.; Batty, M. (Eds.), Springer, 759p.

[2] Bithell, M., and Brasington, J., (2009), Coupling agent-based models of subsistence farming with individual-based forest models and dynamic models of water distribution, Environmental Modelling and Software, 24, 173-190.

[3] Donovan, A., and Oppenheimer, C. (in press) Extreme volcanism: disaster risks and societal implications,In: Extreme Natural Hazards, Disaster risks and Societal Implications, IUGG Special Publication Series, CUP.

[4] Donovan, A., and Oppenheimer, C. (in press) Extreme volcanism: disaster risks and societal implications, In: Extreme Natural Hazards, Disaster risks and Societal Implications, IUGG Special Publication Series, CUP.