Opportunities and Challenges in Developing COVID-19 Simulation Models: Lessons from Six Funded Projects
(2021)
Presentation / Conference Contribution
Giabbanelli, P. J., Badham, J., Castellani, B., Kavak, H., Mago, V., Negahban, A., & Swarup, S. (2021). Opportunities and Challenges in Developing COVID-19 Simulation Models: Lessons from Six Funded Projects. . https://doi.org/10.23919/annsim52504.2021.9552089
Outputs (4)
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.4532This 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.
Cased-based modelling and scenario simulation for ex-post evaluation (2021)
Journal Article
Schimpf, C., Barbrook-Johnson, P., & Castellani, B. (2021). Cased-based modelling and scenario simulation for ex-post evaluation. Evaluation, 27(1), 116-137. https://doi.org/10.1177/1356389020978490Despite 20 years of increasing acceptance, implementing complexity-appropriate methods for ex-post evaluation remains a challenge: instead of focusing on complex interventions, methods need to help evaluators better explore how policies (no matter ho... Read More about Cased-based modelling and scenario simulation for ex-post evaluation.
Policy evaluation for a complex world: Practical methods and reflections from the UK Centre for the Evaluation of Complexity across the Nexus (2021)
Journal Article
Barbrook-Johnson, P., Castellani, B., Hills, D., Penn, A., & Gilbert, N. (2021). Policy evaluation for a complex world: Practical methods and reflections from the UK Centre for the Evaluation of Complexity across the Nexus. Evaluation, 27(1), https://doi.org/10.1177/1356389020976491