All Outputs (2)

Justified Stories with Agent-Based Modelling for Local COVID-19 Planning (2021)
Journal Article
Badham, J., Barbrook-Johnson, P., Caiado, C., & Castellani, B. (2021). Justified Stories with Agent-Based Modelling for Local COVID-19 Planning. Journal of Artificial Societies and Social Simulation, 24(1), Article 8. https://doi.org/10.18564/jasss.4532

This paper presents JuSt-Social, an agent-based model of the COVID-19 epidemic with a range of potential social policy interventions. It was developed to support local authorities in North East England who are making decisions in a fast moving crisis... Read More about Justified Stories with Agent-Based Modelling for Local COVID-19 Planning.

Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions (2018)
Journal Article
Vernon, I., Liu, J., Goldstein, M., Rowe, J., Topping, J., & Lindsey, K. (2018). Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions. BMC systems biology, 12, Article 1. https://doi.org/10.1186/s12918-017-0484-3

Many mathematical models have now been employed across every area of systems biology. These models increasingly involve large numbers of unknown parameters, have complex structure which can result in substantial evaluation time relative to the needs... Read More about Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions.