Pete Barbrook-Johnson
Pete Barbrook-Johnson
Senior Research Associate, University of Oxford
Verified email at smithschool.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
912018
Self-organization and social science
D Anzola, P Barbrook-Johnson, JI Cano
Computational and Mathematical Organization Theory 23 (2), 221-257, 2017
322017
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 (2), 269-298, 2019
282019
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
132015
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
112019
Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study
P Barbrook-Johnson, J Badham, N Gilbert
Health Communication, 2016
102016
Agent-based models as “interested amateurs”
PG Johnson
Land 4 (2), 281-299, 2015
102015
Sociology and Non-Equilibrium Social Science
D Anzola, P Barbrook-Johnson, M Salgado, N Gilbert
Non-Equilibrium Social Science and Policy, 59-69, 2017
62017
Reflections On the Use of Complexity-Appropriate Computational Modeling for Public Policy Evaluation in the UK
P Barbrook-Johnson, C Schimpf, B Castellani
Journal on Policy and Complex Systems 5 (1), 55-70, 2019
52019
The SWAP model: Policy and theory applications for agent-based modelling of soil and water conservation adoption
PG Johnson
PQDT-UK & Ireland, 2015
52015
How do policy evaluators understand complexity?
P Barbrook-Johnson, A Proctor, S Giorgi, J Phillipson
Evaluation 26 (3), 315-332, 2020
42020
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
3*2019
A participatory systems map of the Energy Trilemma
P Barbrook-Johnson, A Penn
A CECAN report for the Department for Business, Energy and Industrial …, 2018
32018
Using the Telephone to Interview Professionals: Understanding the Use of Models in Environmental Policy
PG Johnson
SAGE Research Methods Cases, 2014
32014
Participatory systems mapping for complex energy policy evaluation
P Barbrook-Johnson, A Penn
Evaluation 27 (1), 57-79, 2021
22021
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
22021
The visual representation of complexity: Definitions, examples & learning points
J Boehnert, A Penn, P Barbrook-Johnson, M Bicket, D Hills
Loughborough University, 2018
22018
Justified Stories with Agent-Based Modelling for Local COVID-Planning
J Badham, P Barbrook-Johnson, C Caiado, B Castellani
12021
Cased-based modelling and scenario simulation for ex-post evaluation
C Schimpf, P Barbrook-Johnson, B Castellani
Evaluation 27 (1), 116-137, 2021
12021
Soil and Water conservation AdoPtion: the SWAP model-theory and policy applications using agent-based modeling
PG Johnson
Presentado en 9th Conference of the European Social Simulation Association …, 2013
12013
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