Pete Barbrook-Johnson
Cited by
Cited by
Computational modelling of public policy: Reflections on practice
N Gilbert, P Ahrweiler, P Barbrook-Johnson, KP Narasimhan, H Wilkinson
Journal of Artificial Societies and Social Simulation 21 (1), 2018
Using agent-based modelling to simulate social-ecological systems across scales
M Lippe, M Bithell, N Gotts, D Natalini, P Barbrook-Johnson, C Giupponi, ...
GeoInformatica 23, 269-298, 2019
Self-organization and social science
D Anzola, P Barbrook-Johnson, JI Cano
Computational and Mathematical Organization Theory 23, 221-257, 2017
Participatory systems mapping for complex energy policy evaluation
P Barbrook-Johnson, A Penn
Evaluation 27 (1), 57-79, 2021
Building a system-based theory of change using participatory systems mapping
H Wilkinson, D Hills, A Penn, P Barbrook-Johnson
Evaluation 27 (1), 80-101, 2021
Systems Mapping: How to build and use causal models of systems
P Barbrook-Johnson, AS Penn
Springer Nature, 2022
How do policy evaluators understand complexity?
P Barbrook-Johnson, A Proctor, S Giorgi, J Phillipson
Evaluation 26 (3), 315-332, 2020
Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study
P Barbrook-Johnson, J Badham, N Gilbert
Health Communication, 2016
Participatory complexity in tourism policy: Understanding sustainability programmes with participatory systems mapping
JS Wu, P Barbrook-Johnson, X Font
Annals of Tourism Research 90, 103269, 2021
Self-Organizing Dynamical Systems
N Gilbert, D Anzola, P Johnson, C Elsenbroich, T Balke, O Dilaver
International Encyclopedia of the Social & Behavioral Sciences (Second …, 2015
Policy evaluation for a complex world: Practical methods and reflections from the UK Centre for the Evaluation of Complexity across the Nexus
P Barbrook-Johnson, B Castellani, D Hills, A Penn, N Gilbert
Evaluation 27 (1), 4-17, 2021
Justified stories with agent-based modelling for local COVID-19 planning
J Badham, P Barbrook-Johnson, C Caiado, B Castellani
Journal of Artificial Societies and Social Simulation 24 (1), 8, 2021
The new economics of innovation and transition: evaluating opportunities and risks
M Grubb, P Drummond, JF Mercure, C Hepburn
EEIST: Economics of Energy Innovation and System Transition, 2021
Case-based methods and agent-based modelling: bridging the divide to leverage their combined strengths
B Castellani, P Barbrook-Johnson, C Schimpf
International Journal of Social Research Methodology, 2019
The visual representation of complexity: Definitions, examples & learning points (poster)
J Boehnert, AS Penn, P Barbrook-Johnson, M Bicket, D Hills
Loughborough University, available at URL: https://hdl. handle. net/2134 …, 2018
Agent-based models as “interested amateurs”
PG Johnson
Land 4 (2), 281-299, 2015
Combining complexity-framed research methods for social research
P Barbrook-Johnson, J Carrick
International Journal of Social Research Methodology 25 (6), 835-848, 2022
Participatory systems mapping: A practical guide
AS Penn, P Barbrook-Johnson
CECAN toolkit, 2019
Negotiating complexity in evaluation planning: A participatory systems map of the energy trilemma
P Barbrook-Johnson, A Penn
CECAN Evaluation and Policy Practice Note (EPPN), 2019
Mitigating the impact of air pollution on dementia and brain health: Setting the policy agenda
B Castellani, S Bartington, J Wistow, N Heckels, A Ellison, ...
Environmental Research, 114362, 2022
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