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Gary Polhill

Staff picture: Gary Polhill
Information and Computational Sciences
Information and Computational Sciences
Human-Natural Systems Research Scientist
gary.polhill@hutton.ac.uk
+44 (0)344 928 5428 (*)

The James Hutton Institute
Craigiebuckler
Aberdeen AB15 8QH
Scotland UK

 

Gary Polhill did a degree in Artificial Intelligence and a PhD in Neural Networks before spending 18 months in industry as a professional programmer. Since 1997 he has been working at the Institute on agent-based modelling of human-natural systems, and has worked on various international and interdisciplinary projects using agent-based modelling to study agricultural systems, lifestyles, and transitions to more sustainable ways of living. He was  President of the European Social Simulation Association from 2016-2020, and was The James Hutton Institute's 2017 Science Challenge Leader on Developing Technical and Social Innovations that Support Sustainable and Resilient Communities.

ORCID, ResearcherID, Google Scholar, Linked-In, ResearchGate, @GaryPolhill

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Current research interests

I specialise in agent-based modelling of socio-environmental systems, and rigorous approaches to their design and interpretation. Agent-based modelling involves explicit representation of individuals and their interactions, observing the emergent effects these have on the dynamics of the system. It is a relatively new technique, offering an alternative to more traditional approaches to formal analysis of social systems. Within this context, I am particularly interested in options for managing environmental change in coupled human-natural systems through incentive schemes, but in the context of other drivers of human behaviour. We have developed models that can simulate and compare the effects of different rules for incentivising land managers on biodiversity at the landscape scale, whilst varying other drivers of decision change, such as markets, climate and social norms. I have also worked on agent-based modelling of lifestyles, pro-environmental behaviours and transitions to more sustainable ways of living, and current work is examining value chains and resilience in Scottish and Norwegian rural systems.

A key issue in developing models of this kind is transparency, and I am interested in the role of formal ontologies in describing and annotating simulation models and experiments. This is work I have developed in projects with the University of Aberdeen and in subsequent projects.

Past research

I have been involved in a number of international and inter- and transdisciplinary research projects, listed below (note that for older projects links are liable to get mothballed):

  • The CAVES (Complexity, Agents, Volatility, Evidence and Scale) project (2005-2008) was funded by the European Commission's Sixth Framework Programme New and Emerging Science and Technology Pathfinder Initiative on Tackling Complexity in Science.
  • PolicyGrid (2006-2009) and PolicyGrid II (2009-2012) were collaborations with the University of Aberdeen funded by the Economic and Social Research Council through the National Centre for e-Social Science. This work also led to a short project called SwarmCloud with the aim of grid-enabling the FEARLUS model. (See also PolicyGrid and PolicyGrid II entry on ESRC's research catalogue.)
  • The GILDED (Governance, Infrastructure, Lifestyle Dynamics and Energy Demand) project (2008-2012) was funded by the European Commission's Seventh Framework Programme.
  • The LOCAW (Low Carbon at Work: Modelling Agents and Organisations to Achieve Transition to a Low Carbon Europe) project (2011-2013) was funded by the European Commission's Seventh Framework Programme.
  • The MIRACLE (Mining Relationships Among Variables in Large Datasets from Complex Systems) project (2014-2015) was funded by Round 3 of the Digging into Data Challenge. The UK contribution was funded by the Economic and Social Research Council via Jisc.
  • The GLAMURS (Green Lifestyles, Alternative Models and Up-scaling Regional Sustainability) project (2014-2016) was funded by the European Commission's Seventh Framework Programme.
  • The SMARTEES (Social Innovation Modelling Approaches to Realizing Transition to Energy Efficiency and Sustainability) project (2017-2021) was funded by the European Commission's Horizon 2020 Programme.

Bibliography

  • Antosz, P.; Jager, W.; Polhill, J.G.; Salt, D. (2021) Informing agent-based models of social innovation uptake., Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II. (Lecture Notes in Computer Science, Vol 12862), 105-117
  • Polhill, J.G.; Salt, D.; Craig, T.; Wilson, R.; Colley, K. (2021) Sensitivity analysis of an empirical agent-based model of district heating network adoption., Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II. (Lecture Notes in Computer Science, Vol 12862), 118-127.
  • Salt, D.A.; Polhill, J.G (2021) A NetLogo extension to secure data using GNUs Pretty Good Privacy Software Suite., In: Ahrweiler P. & Neumann M. (eds). Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham, pp229-312.
  • Schlüter, M.; Lindkvist, E.; Wijermans, N.; Polhill, J.G. (2021) Agent-based modelling., In: Biggs, R., De Vos, A., Preiser, R., Clements, H., Maciejewski, K. & Schlüter, M. (eds.). The Routledge Handbook of Research Methods for Social-Ecological Systems. Routledge, Abingdon, UK, Chapter 28, pp383-397.
  • Ge, J.; Polhill, G. (2020) Agent-based models of coupled social and natural systems., In: Sang, N. (ed.). Modelling Nature-based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning. Cambridge University Press, Chapter 2, pp56-81.
  • Polhill, J.G.; Craig, T.; Alonso-Betanzos, A.; Sanchez-Marono, N.; Fontenla-Romero, O.; Dumitru, A.; Garcia-Mira, R.; Bonnes, M.; Bonaiuto, M.; Carrus, G.; Marricchiolo, F.; Fornara, F.; Ilin, C.; Steg, L.; Ruepert, A.; Keizer, K. (2017) Interactions matter. Modelling everyday pro-environmental norm transmission and diffusion in workplace networks., In: Alonso-Betanzos, A., Sánchez-Maroño, N., Fontenla-Romero, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, J.M. (eds.) Agent-Based Modeling of Sustainable Behaviors. Springer, Cham, Switzerland, Chapter 2, pp27-52.
  • Grimm, V.; Polhill, J.G.; Touza, J. (2017) Documenting social simulation models: The ODD protocol as a standard. (Revised), In: Edmonds, B. & Meyer, R. (eds.). Simulating Social Complexity: A Handbook. 2nd edition. Springer, Berlin, pp349-365.
  • Polhill, J.G.; Salt, D. (2017) The importance of ontological structure: why validation by ‘fit-to-data’ is insufficient., In: Edmonds, B. & Meyer, R. (eds.) Simulating Social Complexity: A Handbook. 2nd edition. Springer, 141-172.
  • Sanchez-Maronon, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Polhill, J.G.; Craig, T. (2017) Empirically-deprived behavioural rules in agent-based models using decision trees learned from questionnaire data., In: Alonso-Betanzos, A., Sanchez-Marono, N., Fontenla-Romera, O., Polhill, J.G., Craig, T., Bajo, J. & Corchado, M. (eds.). Agent Based Modelling of Sustainable Behaviors. Springer, Switzerland, Chapter 3, pp53-76.
  • Ge, J.; Polhill, J.G. (2017) Preliminary results from an agent-based model of the daily commute in Aberdeen and Aberdeenshire, UK., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., pp129-142.
  • Polhill, J.G.; Gotts, N.M. (2017) How precise are the specifications of a psychological theory? Comparing implementations of Lindenberg and Steg's Goal-Framing Theory of everyday pro-environmental behaviour., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., 341-354.
  • Polhill, J.G.; Milazzo, L.; Dawson, T.; Gimona, A.; Parker, D. (2017) Lessons learned replicating the analysis of outputs from a social simulation of biodiversity incentivisation., In: Jager, W., Verbrugge R., Flache A., de Roo G., Hoogduin L. & Hemelrijk C. (eds.) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing 528. Springer, Cham., 355-365.
  • Sanchez-Maronon, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Polhill, J.G.; Craig, T. (2015) Designing decision trees for representing sustainable behaviours in agents., In: Bajo, J., Hernandez, J.Z., Mathieu, P., Campbell, A., FernandezCaballero, A., Moreno, M.N., Julian, V., AlonsoBetanzos, A., JimenezLopez, M.D. & Botti, V. (eds.). Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability: The PAAMS Collection, Advances in Intelligent Systems and Sustainability, Springer, Berlin, Volume 372, 169-176.
  • Grimm, V.; Polhill, J.G.; Touza, J. (2013) Documenting social simulation models: the ODD protocol as a standard., In: Edmonds, B. & Meyer, R. (eds.). Simulating Social Complexity: A Handbook. Springer, Berlin, Part II, pp117-133.
  • Gimona, A.; Polhill, J.G.; Davies, B.B. (2011) Sinks, sustainability and conservation incentives., In: Sources, Sinks and Sustainability (eds. Liu, J., Hull, V., Morzillo, A., and Wiens, J). Cambridge University Press, Chapter 8, pp155-178.
  • Gotts, N.M.; Polhill, J.G.; Law, A.N.R. (2010) Agent-based simulation in the study of social dilemmas., In: Gilbert, N. (ed.). Computational Social Science. SAGE Benchmarks in Social Research Methods Series, Volume 3. Sage Publications. ISBN-10: 1847871712, ISBN-13: 978-1847871718.
  • Polhill, J.G. (2009) Agent-based modelling of socio-economic processes related to the environment: Example of land-use change., In: Baveye, P., Mysiak, J., Laba, M. (eds.). Uncertainties in Environmental Modelling and Consequences for Policy-Making. NATO Science for Peace and Security Series C - Environmental Security, Springer, 61-76. ISBN 978-90-481-2634
  • Gotts, N.M.; Polhill, J.G. (2009) Narrative scenarios, mediating formalisms, and the agent-based simulation of land use change., In: Squazzoni, F. (ed.). Epistemological Aspects of Computer Simulation in the Social Sciences, Proceedings from 2nd International Workshop on Epistemological Perspectives on Simulation (EPOS), Brescia, Italy, 4-5 October 2006. Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, 5466, 99-116.
  • Pignotti, E.; Edwards, P.; Preece, A.; Gotts, N.M.; Polhill, J.G. (2008) Enhancing workflow with semantic descriptions of scientific intent., In: Goos, G., Hartmanis, J. & van Leeuwen (eds.). The Semantic Web: Research and Applications, 5th European Semantic Web Conference, Tenerife, Spain, 1-5 June 2008. Lecture Notes in Computer Science, 5021, Springer, Berlin, pp644-658.
  • Parker, D.C.; Brown, D.G.; Polhill, J.G.; Deadman, P.J.; Manson, S.M. (2008) Ilustrating a new "conceptual design pattern" for agent-based models of land use via five case studies - the MR POTATOHEAD framework., In: Lopez Paredes, A. & Hernandez, I. Agent-Based Modelling in Natural Resource Management. INSISOC, Valladolid, Spain, 23-51
  • Polhill, J.G.; Parker, D.C.; Gotts, N.M. (2007) Effects of land markets on competition between innovators and imitators in land use: results from FEARLUS-ELMM., In: Edmonds, B., Hernandez Iglesias, C. & Troitzsch, K.G. Social Simulation: Technologies, Advances and New Discoveries. Information Science Reference, London, Chapter 7, 81-97.

  • Polhill, G.; Rivington, M.; Duckett, D. (2021) Exploring COVID19 Food and Nutrition Security Plausible Scenario Narratives with the ‘FeedUs’ Model of Global Food Trade, Online
  • Rivington, M.; Duckett, D.; Iannetta, P.; Hawes, C.; Begg, G.; Polhill, G.; Loades, K.; Newton, A.; Aitkenhead, M.; Lozada-Ellison, L.; Neilson, R.; Gandossi, G.; Stewart, D.; Wardell-Johnson, D.; Udugbezi, E.; Lorenzo-Arribas, A.; Benton, T.; King, R., Burgess, P. (2021) An overview assessment of the COVID19 pandemic on the UK food and nutrition security, Online
  • Rivington, M.; King, R.; Duckett, D.; Iannetta, P.; G. Benton, T.; Burgess, P. J.; Hawes, C.; Wellesley, L.; Polhill, G.; Aitkenhead, M.; Lozada-Ellison, L. M.; Begg, G.; Williams, A. G.; Newton, A.; Lorenzo-Arribas, A.; Neilson, R.; Watts, C. (2021) UK Food and nutrition security during and after the COVID19 pandemic Project Report and Recommendations, On the institute, project website: https://www.hutton.ac.uk/research/projects/uk-food-and-nutrition-security-during-and-after-covid-19-pandemic
  • Dumitru, A.; Lema Blanco, I.; Albulescu, P.; Antosz, P.; Bouman, L.; Colley, K.; Craig, T.; Jager, W.; Macsinga, I.; Meskovic, E.; Mischkowski, N.; Pellegrini Masini, G.; Polhill, G.; Quinti, G.; Salt, D.; Somervail, P.; Wilson, R.; (2021) Policy recommendations for each cluster of casestudies Insights from policy scenario workshops, SMARTEES Deliverable 5.2. https://local-social-innovation.eu/fileadmin/user_upload/Deliverables/D5.2_final__1_.pdf
  • Pellegrini-Masini, G.; Albulescu, P.; Jager, W.; Löfström, E.; Macsinga, I.; Alonso-Betanzos, A.; Bouman, L.; Guijarro-Berdiñas, B.; Polhill, G.; Rodríguez-Arias, A.; Salt, D.; Sánchez-Maroño, N.; (2021) Report on the updated theoretical framework for social innovation diffusion, SMARTEES Deliverable 6.2. https://local-social-innovation.eu/fileadmin/user_upload/Deliverables/SMARTEES-D6.2_theoretical_development_R1.pdf
  • Bouman, L.; Antosz, P.; Jager, W.; Polhill, G.; Salt, D.; Scalco, A.; Alonso-Betanzos, A.; Sánchez-Maroño, N.; Guijarro-Berdiñas, B.; Rodríguez-Arias, A.; (2021) Report on scenario development and experiments for selected cases, SMARTEES: Updated Deliverable 7.4 (Final Report).
  • Polhill, G.; Rivington, M.; Duckett, D.; (2021) Exploring COVID19 Food and Nutrition Security Plausible Scenario Narratives with the FeedUs Model of Global Food Trade, The James Hutton Institute,
  • Antosz, P.; Jager, W.; Polhill, J.G.; Salt, D.; Scalco, A.; Alonso-Betanzos, A.; Sánchez-Maroño, N.; Guijarro-Berdiñas, B.; Rodríguez, A. (2020) SMARTEES simulation implementations for selected cases., SMARTEES Deliverable 7.3 (Report) , December 2020, 124pp.
  • Polhill, J.G.; Craig, T.; Colley, K.; Ge, J.; Sat, D. (2018) The SMARTEES Project and The James Hutton Institute’s potential contribution to the Torry Heat Network project., Appendix 10.4 in support of Torry Heat Network, Report to be presented to Aberdeen City Council.
  • Salt, D.; Polhill, J.G.; Craig, T. (2016) Deliverable 2.2: Report on the ontology generation and data and knowledge integration., Green Lifestyles Alternative Models and Up-scaling Regional Sustainability / GLAMURS EU SSH.2013.2.1-1 Grant Agreement No. 613420.
  • Salt, D.; Polhill, J.G.; Craig, T. (2016) Deliverable 2., Report for Glamurs Ontology Project.
  • Polhill, J.G.; Craig, T.; Ge, J.; Lorenzo-Arribas, A. (2016) Out-of-range wattage in CurrentCost energy monitor readings., Short Report to CurrentCost.
  • Sutherland, L.A.; Gotts, N.M.; Polhill, J.G. (2006) CAVES: Complexity, agents, volatility, evidence and scale., Grampian Region Field Research Report. CAVES EU F6 Project.
  • Matthews, R.B.; Gilbert, N.; Roach, A.; Polhill, J.G.; Gotts, N.M.; Izquierdo, L.R. (2005) Development of a rural economy and land use simulation modelling strategy., Final Project Report of RELU Development Activity RES-224-25-0102, Macaulay Institute, Craigiebuckler, Aberdeen AB158QH, UK.

  • Colley, K.; Craig, T.; Scholz, G.; Hague, A.; Wilson, R.; Polhill, G.; Salt, D.; Somervail, P.; Nazli Koseoglu, M.; Wooldridge, T. (2022) The role of individuals and households in the transition to a circular economy a social simulation approach, International Association of People-Environment Studies (IAPS) 2022 conference, online
  • Polhill, G.; Matthews, K.; Ge, J.; Heppenstall, A.; Malleson, N.; (2021) Exploring the effect of external influences of model parameterization, Social Simulation Conference 2021, Online, 20-24 September 2021
  • Salt, D.; Polhill, G.; Craig, T.; Wilson, R.; Colley, K.; Pinker, A.; Scalco, A.; Muhammad, M.; (2021) Modelling coconstructed scnearios of district heat network adoption in Aberdeen, Social Simulation Conference 2021, Online, 20-24 September 2021
  • Polhill, J.G.; Salt, D.; Craig. T.; Wilson, R.; Colley, K. (2021) Sensitivity analysis of an empirical agent-based model of district heating network adoption., International Work Conference on Artificial Neural Networks, Online, 16-18 June 2021.
  • Polhill, J.G. (2020) Linking ABM with energy system models: Feasibility, scale and scope., Energy Modelling Platform for Europe (EMP-E) 2020: Modelling Climate Neutrality for the European Green Deal, 6-8 October 2020. (Online)
  • Hare, M.P.; Gimona, A.; Polhill, J.G. (2020) Contingent diachronicity and biodiversity: lessons from an agent-based model simulating the impact of biodiversity offsetting policy in a complex socio-ecological system., 10th International Congress on Environmental Modelling and Software, Brussels, Belgium, 14-18 September 2020, Session B2/B3.
  • Parker, D.C.; Carro, A.; Detotto, C.; Filatova, T.; Ge, J.; Huang, Y.; Idda, C.; Magglioca, N.; Polhill, J.G.; Prunetti, D. (2019) MR POTATOHEAD: property market edition -- development of a common description template and code base for agent-based land market models., Social Simulation Conference 2019, Johannes Gutenberg Universitaet Mainz, Germany, 23-27 September 2019.
  • Salt, D.; Polhill, J.G. (2019) A NetLogo plug-in to secure data using GNUs pretty good privacy software suite., Social Simulation Conference (SSC 2019), Johannes Gutenberg University, Mainz, Germany, 23-27 September 2019.
  • Polhill, J.G. (2019) Could a belief in the afterlife support the evolution of cooperation?, Social Simulation Conference 2019 (SSC2019), Johannes Gutenberg Universitaet, Mainz, Germany, 23-27 September 2019.
  • Polhill, J.G.; Hare, M.; Anzola, D.; Bauermann, T.; French, T.; Post, H.; Perello Moragues, T.; Salt, D. (2019) Using ABMs for prediction: Two thought experiments and a workshop., Social Simulation Conference 2019 (SSC2019), Johannes Gutenberg Universitaet, Mainz, Germany, 23-27 September 2019.
  • Polhill, J.G.; Ge, J.; Fitton, N.; Macdiarmid, J.; Matthews, R.B.; Dawson, T.; Clark, H.; Whybrow, S.; Aphale, M.; Smith P. (2019) Exploring scenarios affecting international food and nutrition security with an agent- based model of global trade., 4th Open Science Meeting of the Global Land Programme, Bern, Switzerland, 24-26 April 2019. (Talk)
  • Poggio, L.; McLeod, J.; Castellazzi, M.; Compagnucci, A.; Gimona, A. (2018) Soil quality assessment in Scotland., 3rd Global Soil Security Conference, University of Sydney, Australia, 4-6 December 2018.
  • Ge, J.; Polhill, J.G.; Macdiarmid, J.I.; Matthews, R.; Dawson, T.; Aphale, M. (2018) The impact of trade on food security - Preliminary results from an agent-based global trade model., Social Simulation Conference (SSC) 2018, Stockholm, Sweden, 20-24 August 2018
  • Salt, D.A.; Polhill, J.G. (2018) Building NetLogo models from ontologies as a first step to model integration., Social Simulation Conference (SSC) 2018, Stockholm, Sweden, 20-24 August 2018, 12 pp.
  • Polhill, J.G.; Gair, J.; Brewer, M.; Gotts, N.; Ge, J.; Butler, A. (2018) Comparing agent-based model versions using approximate bayesian computation., Social Simulation Conference (SSC) 2018, Stockholm, Sweden, 20-24 August 2018.
  • Ge, J.; Polhill, J.G.; MacDiarmid, J.I.; Matthews, R.; Dawson, T.; Aphale, M. (2018) The impact of global food trade on food security and land use in the context of climate change - an empirical agent-based model., Landscape 2018, Berlin, Germany, 12-16 March 2018.
  • Salt, D.; Polhill, J.G.; Barbet, V.; Wang, Y. (2017) Formalizing Callon's theory of translation., Proceedings of SSC 2017-ESSA@work, Dublin, 25-29 September 2017. Afternoon Session Norms-GM, 27 September 2017.
  • Polhill, J.G.; Burton, R.; Anders, K.; Ge, J. (2017) Using case-based reasoning as a basis to represent Bourdieu's "forms of capital" for agricultural simulation., Social Simulation Conference 2017, Social Simulation for a Digital Society, University College Dublin, Ireland, 25 September 2017. Session Social Ecology - GM.
  • Ge, J.; Polhill, J.G. (2017) Can succession, profitability, and off-farm income explain the polarization of cattle farms in Scotland? , Social Simulation Conference 2017, Social Simulation for a Digital Society, University College Dublin, Ireland, 25 September 2017.
  • Ge, J.; Polhill, J.G.; Liu, N.; Roberts, D.; Craig, T. (2016) Modelling lifestyle and energy footprint in Europe’s ‘oil capital’ using an agent-based model., In: Sauvage, S., Sanchez-Perez, J.M., Rizzoli, A.E. (eds.). Proceedings of the 8th International Congress on Environmental Modelling and Software, Toulouse, France, 10-14 July 2016. Session A4: Modeling for Low carbon Economies, p253.
  • Reilly, J.; Dawson, T.; Matthews, R.; Polhill, J.G.; Smith.P (2016) An agent-based model for studying the effects of sustainable intensification on food security in the nation state., International Environmental Modelling and Software Society (iEMSs), 8th International Congress on Environmental Modelling and Software, Toulouse, France, 10-14 July 2016. Paper, 11..
  • Polhill, J.G.; Salt, D. (2016) Metrics of complexity from FEARLUS-SPOMM runs., CSoS Workshop, Hotel de Nieuwe Wereld, Wageningen, The Netherlands, 21-22 April 2016.
  • Jin, X.; Robinson, K.; Lee, A.; Polhill, J.G.; Pritchard, C.; Parker, D. (2016) MIRACLE: A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models., GIScience 2016: The Ninth International Conference on Geographic Information Science, Montreal, Canada, 27-30 September 2016.
  • Gonzalez, J.; Gordon, I.J.; Polhill, J.G.; Dawson, T.; Hill, R. (2015) Decoupling energy and natural resource use from economic growth: an agent-based modelling approach., MODSIM2015, 21st International Congress on Modelling and Simulation, Gold Coast Convention and Exhibition Centre, Broadbeach, Queensland, Australia, 29 November to 4 December 2015.
  • Parker, D.; Barton, M.; Dawson, T.; Filatova, T.; Jin, X.; Lee, A.; Lee, J.-S.; Milazzo, L.; Pritchard, C.; Polhill, J.G.; Robinson, K.; Voinov, A. (2015) The MIRACLE project: Tools and analysis methods for output from agent-based models of coupled human-natural systems., The 2015 AMMCS-CAIMS Congress, Waterloo, Ontario, Canada, 7-12 June 2015.
  • Polhill, J.G.; Dawson, T.; Parker, D.; Jin, X.; Robinson, K.; Filatova, T.; Voinov, A.; Barton, M.; Pignotti, E.; Edwards, P. (2014) Towards metadata standards for sharing simulation outputs., Social Simulation Conference SSC 2014, Barcelona, 1-5 September 2014.
  • Polhill, J.G.; Gotts, N.M.; Alonso-Betanzos, A.; Sanchez-Maroño, N.; Fontenla-Romero, Ó.; Craig, T.; García-Mira, R. (2014) Qualitative spatial representation in agent-based models., Social Simulation Conference SSC 2014, Barcelona, 1-5 September 2014.
  • Polhill, J.G.; Craig, T.; Alonso-Betanzos, A.; Sanchez-Maroño, N.; Fontenla-Romero, O.; Dumitru, A.; Bonnes, M.; Bonaiuto, M.; Carrus, G.; Fornara, F.; Maricchiolo, F.; Steg, L.; Ruepert, A.; Kaizer, K.; García-Mira, R. (2014) Empirical agent-based modelling of every day pro-environmental behaviours at work., 7th International Congress on Environmental Modelling and Software San Diego, California, USA, 15-19 June 2014.
  • Iturrioz, G.; Polhill, J.G. (2014) Agent-based modelling of rural land use changes on Atreuco area., 7th International Congress on Environmental Modelling and Software San Diego, California, USA, 15-19 June 2014.
  • Polhill, J.G.; Gimona, A. (2014) Using genetic algorithms to fit species and habitat parameters for modelling the effect of climate change on species distributions with stochastic patch occupancy models., 7th International Congress on Environmental Modelling and Software San Diego, California, USA, 15-19 June 2014.

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The James Hutton Research Institute is the result of the merger in April 2011 of MLURI and SCRI. This merger formed a new powerhouse for research into food, land use, and climate change.