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Elsenbroich, C. and Polhill, J. G. (2023) Agent-based modelling as a method for prediction for complex social systems. International Journal of Social Research Methodology, 26(2), pp. 133-142. (doi: 10.1080/13645579.2023.2152007)

Elsenbroich, C. and Badham, J. (2023) Negotiating a future that is not like the past. International Journal of Social Research Methodology, 26(2), pp. 207-213. (doi: 10.1080/13645579.2022.2137935)

Broadbent, P., Thomson, R. , Kopasker, D. , McCartney, G. , Meier, P. , Richiardi, M., McKee, M. and Katikireddi, S. V. (2023) The public health implications of the cost-of-living crisis: outlining mechanisms and modelling consequences. Lancet Regional Health - Europe, (doi: 10.1016/j.lanepe.2023.100585) (In Press)

Hill O'Connor, C. , Smith, K., Hughes, C., Meier, P. and Purshouse, R. (2023) Operationalising inclusive growth: can malleable ideas survive metricised governance? Public Administration, (doi: 10.1111/padm.12916) (Early Online Publication)

Hill O'Connor, C. , Smith, K. and Stewart, E. (2023) Integrating evidence and public engagement in policy work: an empirical examination of three UK policy organisations. Policy and Politics, (doi: 10.1332/030557321X16698031794569) (Early Online Publication)

Wallace, R., Franklin, R., Grant-Muller, S., Heppenstall, A. and Houlden, V. (2022) Estimating the social and spatial impacts of Covid mitigation strategies in United Kingdom regions: synthetic data and dashboards. Cambridge Journal of Regions, Economy and Society, 15(3), pp. 683-702. (doi: 10.1093/cjres/rsac019)

Urquhart, R., Newing, A., Hood, N. and Heppenstall, A. (2022) Last-mile capacity constraints in online grocery fulfilment in Great Britain. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), pp. 636-651. (doi: 10.3390/jtaer17020033)

Olmez, S., Thompson, J., Marfleet, E., Suchak, K., Heppenstall, A. , Manley, E., Whipp, A. and Vidanaarachchi, R. (2022) An agent-based model of heterogeneous driver behaviour and its impact on energy consumption and costs in urban space. Energies, 15(11), 4031. (doi: 10.3390/en15114031)

McCulloch, J., Ge, J., Ward, J. A., Heppenstall, A. , Polhill, J. G. and Malleson, N. (2022) Calibrating agent-based models using uncertainty quantification methods. Journal of Artificial Societies and Social Simulation, 25(2), 1. (doi: 10.18564/jasss.4791)

Franklin, R. S. et al. (2022) Making space in geographical analysis. Geographical Analysis, (doi: 10.1111/gean.12325) (Early Online Publication)

Wu, G., Heppenstall, A. , Meier, P. , Purshouse, R. and Lomax, N. (2022) A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain. Scientific Data, 9, 19. (doi: 10.1038/s41597-022-01124-9) (PMID:35058471) (PMCID:PMC8776798)

Malleson, N., Birkin, M., Birks, D., Ge, J., Heppenstall, A. , Manley, E., McCulloch, J. and Ternes, P. (2022) Agent-based modelling for urban analytics: state of the art and challenges. AI Communications, 35(4), pp. 393-406. (doi: 10.3233/AIC-220114)

This list was generated on Thu Mar 30 09:12:41 2023 BST.