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Publications by CRESS

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006

2023 Top

  • Hoole, J. N., Simon Collinson, Nigel Driffield, Nigel Gilbert, Charlotte. (2023, October 5). Why ‘levelling up’ in the UK has so far failed – and what a Labour government might do about it. The Loop. https://theloop.ecpr.eu/why-levelling-up-in-the-uk-has-so-far-failed-and-what-a-labour-government-might-do-about-it/
  • Breeze, P. R., Squires, H., Ennis, K., Meier, P., Hayes, K., Lomax, N., Shiell, A., Kee, F., de Vocht, F., O’Flaherty, M., Gilbert, N., Purshouse, R., Robinson, S., Dodd, P. J., Strong, M., Paisley, S., Smith, R., Briggs, A., Shahab, L., … Brennan, A. (2023). Guidance on the use of complex systems models for economic evaluations of public health interventions. Health Economics, 32(7), 1603–1625. https://doi.org/10.1002/hec.4681
  • Leyla Bagherli, Tarran Macmillan, Matthew Jones, Adam, Adam Hejnowicz, Nigel Gilbert, & Fraser Macleod. (2023). Developing a bespoke Theory of Change: Drawing on complexity science to strengthen the application of the public value framework in the UK Department for Environment, Food and Rural Affairs (Defra). In Luca Simeone, David Drabble, Nicola Morelli, & Amalia de Götzen (Eds.), Strategic Thinking, Design and the Theory of Change (pp. 119–131). Edward Elgar.
  • Newman, J., Collinson, S., Driffield, N., Gilbert, N., & Hoole, C. (2023). Mechanisms of metagovernance as structural challenges to levelling up in England. Regional Studies, 0(0), 1–17. https://doi.org/10.1080/00343404.2023.2217215
  • Squires, H., Kelly, M. P., Gilbert, N., Sniehotta, F., & Purshouse, R. C. (2023). The long‐term effectiveness and cost‐effectiveness of public health interventions; how can we model behavior? A review. Health Economics, hec.4754. https://doi.org/10.1002/hec.4754

2022 Top

  • Anzola, D., Barbrook-Johnson, P., & Gilbert, N. (2022). The Ethics of Agent-Based Social Simulation. Journal of Artificial Societies and Social Simulation, 25(4), 1. https://doi.org/10.18564/jasss.4907
  • Castellani, B., Bartington, S., Wistow, J., Heckels, N., Ellison, A., Van Tongeren, M., Arnold, S. R., Barbrook-Johnson, P., Bicket, M., Pope, F. D., Russ, T. C., Clarke, C. L., Pirani, M., Schwannauer, M., Vieno, M., Turnbull, R., Gilbert, N., & Reis, S. (2022). Mitigating the impact of air pollution on dementia and brain health: Setting the policy agenda. Environmental Research, 215, 114362. https://doi.org/10.1016/j.envres.2022.114362
  • Newman, J., & Gilbert, N. (2022). The role of the private sector in subnational governance: Learning lessons from England’s local enterprise partnerships. Local Economy, 02690942221098615. https://doi.org/10.1177/02690942221098615
  • Oliver, T. H., Doherty, B., Dornelles, A., Gilbert, N., Greenwell, M. P., Harrison, L. J., Jones, I. M., Lewis, A. C., Moller, S. J., Pilley, V. J., Tovey, P., & Weinstein, N. (2022). A safe and just operating space for human identity: A systems perspective. The Lancet Planetary Health, 6(11), e919–e927. https://doi.org/10.1016/S2542-5196(22)00217-0
  • Penn, A. S., Bartington, S. E., Moller, S. J., Hamilton, I., Levine, J. G., Hatcher, K., & Gilbert, N. (2022). Adopting a Whole Systems Approach to Transport Decarbonisation, Air Quality and Health: An Online Participatory Systems Mapping Case Study in the UK. Atmosphere, 13(3), Article 3. https://doi.org/10.3390/atmos13030492
  • Tolk, A., Clemen, T., Gilbert, N., & Macal, C. M. (2022). How Can We Provide Better Simulation-Based Policy Support? 2022 Annual Modeling and Simulation Conference (ANNSIM), 188–198. https://doi.org/10.23919/ANNSIM55834.2022.9859512
  • Newman, J., Driffield, N., Gilbert, N., & Collinson, S. (2022). Levelling up: Four problems with Boris Johnson’s flagship project. The Conversation. http://theconversation.com/levelling-up-four-problems-with-boris-johnsons-flagship-project-176386

2021 Top

2020 Top

  • Elsenbroich, C., & Payette, N. (2020). Choosing to cooperate: Modelling public goods games with team reasoning. Journal of Choice Modelling, 34, 100203. https://doi.org/10.1016/j.jocm.2020.100203
  • Jiang, J., Pozza, R., Gilbert, N., & Moessner, K. (2020). MakeSense. ACM Transactions on Internet of Things, 1(3), 1–25. https://doi.org/10.1145/3381914
  • Narasimhan, K., Gilbert, N., & Elsenbroich, C. (2020). An Integrated Model to Assess the Impacts of Dams in Transboundary River Basins. In H. Verhagen, M. Borit, G. Bravo, & N. Wijermans (Eds.), Advances in Social Simulation: Looking in the Mirror (pp. 321–327). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-34127-5
  • Seaford, C., & et al. (2020). Achieving Levelling-Up: The Structures and Processes Needed, LIPSIT Report. https://lipsit.ac.uk/project-outputs/
  • Squazzoni, F., Polhill, J. G., Edmonds, B., Ahrweiler, P., Antosz, P., Scholz, G., Chappin, É., Borit, M., Verhagen, H., Giardini, F., & Gilbert, N. (2020). Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action. Journal of Artificial Societies and Social Simulation, 23(2), 10. https://doi.org/10.18564/jasss.4298
  • Thompson, R. N., Hollingsworth, T. D., Isham, V., Arribas-Bel, D., Ashby, B., Britton, T., Challenor, P., Chappell, L. H. K., Clapham, H., Cunniffe, N. J., Dawid, A. P., Donnelly, C. A., Eggo, R. M., Funk, S., Gilbert, N., Glendinning, P., Gog, J. R., Hart, W. S., Heesterbeek, H., … Restif, O. (2020). Key questions for modelling COVID-19 exit strategies. Proceedings of the Royal Society B: Biological Sciences, 287(1932), 20201405. https://doi.org/10.1098/rspb.2020.1405
  • Watts, C. J., Gilbert, N., Robertson, D., Droy, L. T., Ladley, D., & Chattoe-Brown, E. (2020). The role of population scale in compartmental models of COVID-19 transmission. Review of Artificial Societies and Social Simulation, 14th August 2020. https://rofasss.org/2020/08/14/role-population-scale/
  • Rozas, D., Resch, B., & Díaz-Molina, S. (2020). Maintaining an affective commons through events: a practice-based study of three collaborative communities. 4th Dauphine Phenomenology Workshop. Experiencing Commons and Communalization: Feeling, Emotion and Affect in the Common Good (Paris, 25/09/2020).

2019 Top

  • Ahrweiler, P., Frank, D., & Gilbert, N. (2019). Co-Designing Social Simulation Models For Policy Advise: Lessons Learned From the INFSO-SKIN Study. 2019 Spring Simulation Conference (SpringSim), 1–12. https://doi.org/10.23919/SpringSim.2019.8732901
  • Ahrweiler, P., Gilbert, N., Schrempf, B., Grimpe, B., & Jirotka, M. (2019). The role of civil society organisations in European responsible research and innovation. Journal of Responsible Innovation, 6(1), 25–49. https://doi.org/10.1080/23299460.2018.1534508
  • Dondio, P., Casnici, N., Grimaldo, F., Gilbert, N., & Squazzoni, F. (2019). The “invisible hand” of peer review: The implications of author-referee networks on peer review in a scholarly journal. Journal of Informetrics, 13(2), 708–716. https://doi.org/10.1016/J.JOI.2019.03.018
  • Gilbert, N. (2019). Agent-based models (2nd ed.). Sage Publications Inc.
  • Jiang, J., Kong, Q., Plumbley, M., & Gilbert, N. (2019). Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances. ArXiv.Org. https://doi.org/10.48550/arXiv.1908.00941

2018 Top

  • Calder, M., Craig, C., Culley, D., de Cani, R., Donnelly, C. A., Douglas, R., Edmonds, B., Gascoigne, J., Gilbert, N., Hargrove, C., Hinds, D., Lane, D. C., Mitchell, D., Pavey, G., Robertson, D., Rosewell, B., Sherwin, S., Walport, M., & Wilson, A. (2018). Computational modelling for decision-making: Where, why, what, who and how. Royal Society Open Science, 5(6), 172096. https://doi.org/10.1098/rsos.172096
  • Gilbert, N., Ahrweiler, P., Barbrook-Johnson, P., Narasimhan, K. P., & Wilkinson, H. (2018). Computational Modelling of Public Policy: Reflections on Practice. Journal of Artificial Societies and Social Simulation, 21(1), 14. https://doi.org/10.18564/jasss.3669
  • Jiang, J., Hoogendoorn, M., Kong, Q., Roijers, D. M., & Gilbert, N. (2018). Predicting Appliance Usage Status In Home Like Environments. 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1–5. https://doi.org/10.1109/ICDSP.2018.8631580
  • Skeldon, A. C., Schiller, F., Yang, A., Balke-Visser, T., Penn, A., & Gilbert, N. (2018). Agent-based modelling to predict policy outcomes: A food waste recycling example. Environmental Science & Policy, 87, 85–91. https://doi.org/10.1016/j.envsci.2018.05.011

2017 Top

  • Anzola, D., Barbrook-Johnson, P., Salgado, M., & Gilbert, N. (2017). Sociology and Non-Equilibrium Social Science. In J. Johnson, A. Nowak, P. Ormerod, B. Rosewell, & Y.-C. Zhang (Eds.), Non-Equilibrium Social Science and Policy (pp. 59–69). Springer. https://doi.org/10.1007/978-3-319-42424-8_4
  • Barbrook-Johnson, P., Badham, J., & Gilbert, N. (2017). Uses of Agent-Based Modeling for Health Communication: The TELL ME Case Study. Health Communication, 32(8), 939–944. https://doi.org/10.1080/10410236.2016.1196414
  • Gilbert, N. (2017). Evaluating complexity. The Evaluator, Spring, 5–7.
  • Jiang, J., Pozza, R., Gunnarsdóttir, K., Gilbert, N., & Moessner, K. (2017a). Recognising Activities at Home: Digital and Human Sensors. Proceedings of the International Conference on Future Networks and Distributed Systems – ICFNDS ’17, 1–11. https://doi.org/10.1145/3102304.3102321
  • Jiang, J., Pozza, R., Gunnarsdóttir, K., Gilbert, N., & Moessner, K. (2017b). Using Sensors to Study Home Activities. Journal of Sensor and Actuator Networks, 6(4), 32. https://doi.org/10.3390/jsan6040032
  • Narasimhan, K., Roberts, T., Xenitidou, M., & Gilbert, N. (2017). Using ABM to Clarify and Refine Social Practice Theory. In Advances in Social Simulation 2015 (pp. 307–319). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-319-47253-9_27

2016 Top

  • Ahrweiler, P., Gilbert, N., & Pyka, A. (2016). Joining complexity science and social simulation for innovation policy: Agent-based modelling using the SKIN platform. Cambridge Scholars.
  • Ahrweiler, P., Pyka, A., & Gilbert, N. (2016). Policy Modelling of Large-Scale Social Systems: Lessons from the SKIN Model of Innovation. In Joining Complexity Science and Social Simulation for Innovation policy (pp. 156–0180). Cambridge Scholars.
  • Casnici, N., Grimaldo, F., Gilbert, N., & Squazzoni, F. (2016). Attitudes of referees in a multidisciplinary journal: An empirical analysis. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.23665
  • Dignum, V., Gilbert, N., & Wellman, M. P. (2016). Introduction to the special issue on autonomous agents for agent-based modeling. Autonomous Agents and Multi-Agent Systems, 30(6), 1021–1022. https://doi.org/10.1007/s10458-016-9345-5
  • Elsenbroich, C., Anzola, D., & Gilbert, N. (2016). Social Dimensions of Organised Crime (C. Elsenbroich, D. Anzola, & N. Gilbert, Eds.). Springer International Publishing. https://doi.org/10.1007/978-3-319-45169-5
  • Hamill, L., & Gilbert, N. (2016). Agent-Based Modelling in Economics. Wiley. http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118456076.html
  • Kolkman, D. A., Campo, P., Balke-Visser, T., & Gilbert, N. (2016). How to build models for government: Criteria driving model acceptance in policymaking. Policy Sciences, 49, 1–16. https://doi.org/10.1007/s11077-016-9250-4

2015 Top

  • Ahrweiler, P., & Gilbert, N. (2015). The Quality of Social Simulation: An Example from Research Policy Modelling. In M. Janssen, M. A. Wimmer, & A. Deljoo (Eds.), Policy Practice and Digital Science (Vol. 10, pp. 35–55). Springer International Publishing. https://doi.org/10.1007/978-3-319-12784-2_3
  • Ahrweiler, P., Pyka, A., & Gilbert, N. (2015). Policy Modelling of Large-Scale Social Systems: Lessons from the SKIN model of Innovation. In E. W. Johnston (Ed.), Governance in the Information Era: Theory and Practice of Policy Informatics (pp. 229–246). Routledge, Taylor & Francis Group.
  • Ahrweiler, P., Schilperoord, M., Pyka, A., & Gilbert, N. (2015). Modelling Research Policy: Ex-Ante Evaluation of Complex Policy Instruments. Journal of Artificial Societies and Social Simulation, 18(4), 5. https://doi.org/10.18564/jasss.2927
  • Gilbert, N., Anzola, D., Johnson, P., Elsenbroich, C., Balke, T., & Dilaver, O. (2015). Self-Organizing Dynamical Systems. In International Encyclopedia of the Social & Behavioral Sciences (pp. 529–534). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.43086-2
  • Johnston, E. W. (2015). Governance in the Information Era: Theory and Practice of Policy Informatics. Taylor & Francis. https://books.google.co.uk/books?id=RXHABgAAQBAJ
  • Narasimhan, K., Roberts, T., Xenitidou, M., & Gilbert, N. (2015). Using ABM to clarify and refine social practice theory. CRESS, University of Surrey.
  • Rozas, D., Gilbert, N., & Hodkinson, P. (2015b). Contribution beyond source code in Free/Libre Open Source Software: The role of affective labour in the Drupal community. BSA 2015 Annual Conference, 73–74.
  • Badham, J. (2015) “Functionality, Accuracy, and Feasibility: Talking with Modelers”, Journal on Policy and Complex Systems 1(2), 60-87. Full text available here.
  • Johnson, P.G. (2015) Agent-Based Models as “Interested Amateurs”. Land, 4, 281-299. Full text at https://www.mdpi.com/2073-445X/4/2/281

2014 Top

  • Balke, T, Dignum, F, Chopra, A, van Riemsdijk, B (2014). Coordination, Institutions, Organizations and Norms IX, Springer, Lecture Notes on Computer Science (Vol. 8386)
  • Rozas, D (2014). Drupal as a Commons-Based Peer Production community: a sociological perspective. In Proceedings of The International Symposium on Open Collaboration (OpenSym ’14). ACM, New York, NY, USA, Pages 36, 2 pages. DOI=10.1145/2641580.2641624 https://doi.acm.org/10.1145/2641580.2641624 . Full text available here.
  • Salgado, M., & Gilbert, N. (2014). Agent Based Modelling. In T. Teo (Ed.),Handbook of quantitative methods for educational research (pp. 247–265). Rotterdam: Sense Publishers.
  • Schiller, F., Skeldon, A., Balke, T., Grant, M., Penn, A., Basson, L., … Woodward, A. (2014). Defining Relevance and Finding Rules: An Agent-Based Model of Biomass Use in the Humber Area. In B. Kamiński & G. Koloch (Eds.), Advances in Social Simulation (Vol. 229, pp. 373–384). Springer Berlin Heidelberg. doi:10.1007/978-3-642-39829-2_33
  • Watts, C., & Gilbert, N. (2014a). Simulating Innovation: Comparing Models of Collective Knowledge, Technological Evolution and Emergent Innovation Networks. In B. Kamiński & G. Koloch (Eds.), Advances in Social Simulation (Vol. 229, pp. 189–200). Springer Berlin Heidelberg. doi:10.1007/978-3-642-39829-2_17
  • Watts, C., & Gilbert, N. (2014b). Simulating Innovation: Computer-based Tools for Rethinking Innovation (p. 304). Edward Elgar.

2013 Top

  • Badham, J. (2013) “Commentary: Measuring the Shape of Degree Distributions”, Network Science 1(2), 213-225. doi: 10.1017/nws.2013.10. Full text available here.
  • Balke T, De Vos M, Padget J. (2013) ‘I-ABM: Combining institutional frameworks and agent-based modelling for the design of enforcement policies’. Artificial Intelligence and Law, 21 (4), pp. 371-398. doi: 10.1007/s10506-013-9143-1
  • Balke T, Noriega P, Verhagen H, De Vos M. (2013) ‘Social coordination: Principles, artifacts and theories’. Social Coordination: Principles, Artefacts and Theories, SOCIAL.PATH 2013 – AISB Convention 2013.
  • Balke T, Pereira CDC, Dignum F, Lorini E, Rotolo A, Vasconcelos W, Villata S. (2013) ‘Norms in MAS: Definitions and Related Concepts’. Normative Multi-Agent Systems, pp. 1-31. doi: 10.4230/DFU.Vol4.12111.1
  • Balke T, Cranefield S, Tosto GD, Mahmoud S, Paolucci M, Savarimuthu BTR, Verhagen H. (2013) ‘Simulation and NorMAS’. Normative Multi-Agent Systems, pp. 171-189. doi: 10.4230/DFU.Vol4.12111.171
  • Balke T, Hirsch B, Lützenberger M. (2013) ‘Assessing Agent Applications—r&D vs. R&d’. in (ed.) Multiagent Systems and Applications Springer Berlin Heidelberg 45, pp. 1-20. doi: 10.1007/978-3-642-33323-1_1
  • Balke T, De Vos M, Padget J. (2013) ‘An Agent-Based Simulation Approach to Comparative Analysis of Enforcement Mechanisms’. in (ed.) Coordination, Organizations, Institutions, and Norms in Agent Systems VIII Springer Berlin Heidelberg 7756, pp. 53-70.
  • Balke T, De Vos M, Padget J. (2013) ‘Evaluating the cost of enforcement by agent-based simulation: A wireless mobile grid example’. in Boella G, Elkind E, Savarimuthu BTR, Dignum F, Purvis MK (eds.) PRIMA 2013: Principles and Practice of Multi-Agent Systems Springer Berlin Heidelberg 8291 LNAI, pp. 21-36. doi: 10.1007/978-3-642-44927-7_3
  • Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G., Kertész, J., … Helbing, D. (2013). Manifesto de Ciência Social Computacional.Mediações – Revista de Ciências Sociais, 18(1), 20. doi:10.5433/2176-6665.2013v18n1p20
  • De Vos M, Balke T, Satoh K. (2013) ‘Modelling Legitimate Expectations’. in Motomura Y, Butler A, Bekki D (eds.) New Frontiers in Artificial Intelligence 7856, pp. 141-156. doi: 10.1007/978-3-642-39931-2_11
  • De Vos M, Balke T, Satoh K. (2013) ‘Combining event-and state-based norms’. Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems, pp. 1157-1158.
  • Elsenbroich, C., & Gilbert, N. (2013). Modelling Norms (p. 213). Springer. https://www.springer.com/social+sciences/book/978-94-007-7051-5
  • Li T, Balke T, Vos MD, Padget JA, Satoh K. (2013) ‘A model-based approach to the automatic revision of secondary legislation’. ICAIL, pp. 202-206.
  • Li T, Balke T, De Vos M, Padget J, Satoh K. (2013) ‘Legal conflict detection in interacting legal systems’. Frontiers in Artificial Intelligence and Applications, 259, pp. 107-116. doi: 10.3233/978-1-61499-359-9-107
  • Li T, Balke T, De Vos M, Satoh K, Padget JA. (2013) ‘Detecting Conflicts in Legal Systems’. in Motomura Y, Butler A, Bekki D (eds.) New Frontiers in Artificial Intelligence Springer Berlin Heidelberg 7856, pp. 174-189. doi: 10.1007/978-3-642-39931-2_13
  • Rauwolf P, Balke T, De Vos M. (2013) ‘Modelling Normative Awareness: First Considerations’. Social Coordination: Principles, Artifacts and Theories
  • Salgado, M., & Gilbert, N. (2013). Emergence and Communication in Computational Sociology. Journal for the Theory of Social Behaviour, 43(1), 87–110. doi:10.1111/jtsb.12004
  • Singh MP, Arrott M, Balke T, Chopra AK, Christiaanse R, Cranefield S, Dignum F, Eynard D, Farcas E, Fornara N, Gandon F, Governatori G, Dam HK, Hulstijn J, Krüger I, Lam H-P, Meisinger M, Noriega P, Savarimuthu BTR, Tadanki K, Verhagen H, Villata S. (2013) ‘The Uses of Norms’. Normative Multi-Agent Systems, pp. 191-229. doi: 10.4230/DFU.Vol4.12111.191

2012 Top

  • Abdou, M., Hamill, L., & Gilbert, N. (2012). Designing and Building an Agent-Based Model. In A. J. Heppenstall, A. T. Crooks, L. M. See & M. Batty (Eds.), Agent-Based Models of Geographical Systems (pp. 141-165): Springer Netherlands.
  • Balke, T.: Towards the Governance of Open Distributed Grids – A Case Study in Wireless Mobile Grids, CreateSpace, ISBN: 978-1466420090, 2012
  • Balke T, De Vos M, Padget J. (2012) ‘Normative run-time reasoning for institutionally-situated BDI agents’. in (ed.) Coordination, Organizations, Institutions, and Norms in Agent System VII 7254 LNAI, pp. 129-148. doi: 10.1007/978-3-642-35545-5_8
  • Balke T, Villatoro D. (2012) ‘Operationalization of the Sanctioning Process in Utilitarian Artificial Societies’. in (ed.) Coordination, Organizations, Institutions, and Norms in Agent System VII Springer Berlin Heidelberg , pp. 167-185. doi: 10.1007/978-3-642-35545-5_10
  • Balke, T., De Vos, M., Padget, J., Fitzek, F.: Using A Normative Framework to Explore the Prototyping of Wireless Grids, Springer, Lecture Notes on Arti ficial Intelligence, volume 6541, 2011, pp. 95 – 113
  • Balke T. (2012) ‘Decision Factors for Individual Photovoltaic Systems Adoption – An Agent-based View’. International Conference on Computational Sustainability,
  • Balke T, De Vos M, Mileo A, Schiller F, Padget J. (2012) ‘The Same Side of Two Coins? – A Survey on the usage of “Norms” and “Policies” across disciplines’. Dagstuhl Seminar on Normative Multiagent Systems
  • De Vos, M., Balke, T., Satoh, K.: Modelling Legitimate Expectations, 6th International Workshop on Juris-informatics, 2012
  • Li, T., Balke, T. De Vos, M., Satoh, K., Padget, J.: Detecting Conflicts in Legal Systems, 6th International Workshop on Juris-informatics, 2012
  • Li, T., Balke, T. De Vos, M., Satoh, K., Padget, J.: Conflict Detection in Composite Institutions, International Workshop on Agent-based Modelling for Policy Engineering, 2012
  • Balke, T., De Vos, M., Padget, J.: An Agent-based Simulation Approach to Comparative Analysis of Enforcement Mechanisms, Workshop on Coordination, Organization, Institutions and Norms in Multiagent Systems @ AAMAS2012, Spain, 2012
  • Balke, T., De Vos, M., Mileo, A., Schiller, F., Padget, J.: The Same Side of Two Coins? – A Survey on the usage of “Norms” and “Policies” across disciplines, Normative Multiagent Systems, Dagstuhl, 2012
  • Elsenbroich, C. (2012) Explanation in Agent-Based Modelling: Functions, Causality or Mechanisms? Journal of Artificial Societies and Social Simulation. Volume 15, Issue 3, page 1.
  • Elsenbroich, C. and Xenitidou, M. (2012) Three Kinds of Normative Behaviour: Minimal Require- ments for Feedback Models. Computational and Mathematical Organization Theory, Volume 18, Number 1, pp. 113-127.
  • Elsenbroich, C. (2012) Thought Experiments in Methodological and Historical Contexts, K. Ierodi- akonou and S. Roux, Journal of Artificial Societies and Social Simulation, Vol. 15, Issue 1, 2012.
  • Elsenbroich, C. (2011) Trust Theory: A Socio-Cognitive and Computational Model, C. Castelfranchi and R. Falcone, Journal of Artificial Societies and Social Simulation, Volume 14, Issue 2, 2011.
  • Sanfilippo, A., Gilbert, N., & Greaves, M. (2012). Technosocial Predictive Analytics for Security Informatics. Security Informatics, 1(8).
  • Deffuant, G., Alvarez, I., Barreteau, O., Vries, B. d., Edmonds, B., Gilbert, N., et al. (2012). Data and models for exploring sustainability of human well-being in global environmental change. Eur. Phys. J. Special Topics, 214, 519-545.
  • Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G., Kertesz, J., et al. (2012). Manifesto of computational social science. Eur. Phys. J. Special Topics, 214, 325-346.
  • Ahrweiler, P., Schilperoord, M., Gilbert, N., & Pyka, A. (2012). Simulating the Role of MNCs for Knowledge and Capital Dynamics in Networks of Innovation. In M. Heidenreich & C. v. Ossietzky (Eds.), Innovation And Institutional Embeddedness Of Multinational Companies: Edward Elgar.
  • Salgado, M., & Gilbert, N. (2012). Emergence and Communication in Computational Sociology. Journal for the Theory of Social Behaviour, n/a–n/a. doi:10.1111/jtsb.12004
  • K Hoad and C Watts (2012) “Are we there yet? Simulation modellers on what needs to be done to involve agent-based simulation in practical decision making.” Journal of Simulation 6, 67-70 (February 2012) doi:10.1057/jos.2011.19
  • Xenitidou, M., & Gilbert, N. (2012). The Processes of Methodological Innovation: Narrative Accounts and Reflections. Methodological Innovations Online, 7(1), Access here.

2011 Top

  • Roth, C., Taraborelli, D., & Gilbert, N. (2011). Symposium on Collective representations of quality. Mind & Society, 10(2), 165-168.
  • Deffuant, G., & Gilbert, N. (2011). Viability and Resilience of Complex Systems: Concepts, Methods and Case Studies from Ecology and Society. Berlin: Springer.
  • Conte, R., Gilbert, N., Bonelli, G., & Helbing, D. (2011). FuturICT and Social Sciences: Big Data, Big Thinking. Zeitschrift Fur Soziologie, 40(5), 412-413.
  • Ahrweiler, P., Gilbert, N., & Pyka, A. (2011). Agency and structure: a social simulation of knowledge-intensive industries. Computational and Mathematical Organization Theory, 17(1), 59-76.
  • Hamill, L. (2011) “Changing Times: Home Life and Domestic Habit”, in: R. Harper (editor), The Connected Home: The Future of Domestic Life, pp. 29-56. Springer, ISBN 9780857294753
  • Hamill, L. (2011) “Complexity, Institutions and Public Policy: Agile Decision-Making in a Turbulent World” (Book review) J. Artificial Societies and Social Simulation, vol. 14, no. 4, Oct. https://jasss.soc.surrey.ac.uk/14/4/reviews/7.html
  • A New Model for University-Industry Links in Knowledge-Based Economies, Petra Ahrweiler, Andreas Pyka, Nigel Gilbert
  • Multilevel and Agent-Based Modelling in the Analysis of Differential School Effectiveness, Mauricio Salgado and Elio Marchione
  • Does cumulative advantage affect collective learning in science? An agent-based simulation, Christopher Watts and Nigel Gilbert
  • Friendship Dynamics: Modelling Social Relationships through a Fuzzy Agent-Based Simulation, Samer Hassan, Mauricio Salgado and Juan Pavon
  • Xenitidou, M. (2011) National Identity and Otherness in Greek Speakers’ Talk about Immigration: Methodological Reflections. Migration Letters. Vol. 8, No. 2, October 2011, pp. 122-131
  • Gill, A. J., Xenitidou, M. and Gilbert, N. (2011) Quality in Online Science: Concepts and Recommendations for the Future. ‘A Decade in Internet Time’ Symposium on the Dynamics of the Internet and Society, Oxford University Internet Institute, September 2011. Available at SSRN.

2010 Top

  • Sholz, R., Nokkala, T., Ahrweiler, P., Pyka, A., & Gilbert, N. (2010). The agent-based NEMO model (SKEIN): simulating European Framework Programmes. In P. Ahrweiler (Ed.), Innovation in Complex Social Systems (pp. 300-314). London: Routledge.
  • Hassan, S., Pavón, J., Antunes, L., & Gilbert, N. (2010). Injecting Data into Agent-Based Simulation. In K. Takadama (Ed.), Simulating Interacting Agents and Social Phenomena: (Vol. 7, pp. 173-185): Springer
  • Hassan, S., Antunes, L., & Gilbert, N. (2010). Going back home: social simulation and artifical intelligence. Computational and Mathematical Organization Theory, 16(4), 325 – 328.
  • Gilbert, N., Ahrweiler, P., & Pyka, A. (2010). Learning in innovation networks: Some simulation experiments. In P. Ahrweiler (Ed.), Innovation in Complex Social Systems (pp. 235-249). London: Routledge.
  • Gilbert, N. (Ed.). (2010). Computational Social Science London: Sage.
  • Hamill, L. (2010) “Agent-Based Modelling: The Next 15 Years”, J. Artificial Societies and Social Simulation, 13(4) (7). https://jasss.soc.surrey.ac.uk/13/4/7.html
  • Simulating Large Social Networks In Agent-Based Models: A Social Circle Model, Lynne Hamill and Nigel Gilbert
  • Construct validity and theoretical embeddedness of Agent-based models of normative behaviour, Maria Xenitidou and Corinna Elsenbroich
  • The calm after the storm? Looting in the context of disasters, Mauricio Salgado, Elio Marchione and Alastair Gill
  • ‘What did you say?’ Emergent communication in a multi-agent spatial configuration, Elio Marchione, Mauricio Salgado and Nigel Gilbert
  • The Social Shaping of British Communications Networks prior to the First World War, Lynne Hamill
  • Social and Semantic Coevolution in Knowledge Networks , Camille Roth and Jean-Philippe Cointet
  • Gill, A. J., Xenitidou, M. and Gilbert, N. (2010) Understanding quality in science: A proposal and exploration. In Proceedings of the 2nd International Workshop on Quality in Techno-Social Systems, Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems 2010 (SASO 2010), Budapest 28th September, pp. 2-7.
  • Xenitidou, M. and Gilbert, N. (2010) The Processes of Methodological Innovation: Successful and Diffusion. Guildford: University of Surrey here>
  • Xenitidou, M., Villard, J. and Troitzsch, K. G. (2010) Empirical Context: Studying Emergent Social Order in Interaction: The Case of Wikipedia. ΙΝ EMIL EMergence In the Loop: simulating the two way dynamics of norm innovation. FP6 Final Report
  • Xenitidou, M. (2010) National Identity and Otherness: Greek Speakers’ Talk about Migration. Saarbrücken, Germany: LAP

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