Gary Polhill
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
Current research interests
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
- Elsenbroich, C.; Polhill, J.G. (In press) Agent-based modelling as a method for prediction for complex social systems, International Journal of Social Research Methods
- Polhill G.; Edmonds, B. (2023) Cognition and Hypocognition: Discursive and simulation-supported decision-making within complex systems, Futures, SI: Simulation and dissimulation, Art. 103121
- Gjefsen, M. D.; Burton, R.; Rønning, S.; Klöckner, C. A.; Helliwell, R.; Mittenzwei, K.; Campbell, H.; Polhill, G.; Roxburgh, N.; Vilhelmsen, K. (2023) Towards a cellular food future: Final recommendations from the Protein 2.0 project to Norwegian policy makers and food system actors, Technical Report N-1/23, Ruralis, Trondheim, Norway
- Gjefsen, M. D.; Burton, R.; Rønning, S.; Klöckner, C. A.; Helliwell, R.; Mittenzwei, K.; Campbell, H.; Polhill, G.; Roxburgh, N.; Vilhelmsen, K. (2023) Towards a cellular food future: Final recommendations from the Protein 2.0 project to Norwegian policy makers and food system actors, Technical Report N-1/23, Ruralis, Trondheim, Norway
- Troost, C.; Bell, A. R.; van Delden, H.; Huber, R.; Filatova, T.; Le, Q. B.; Lippe, M.; Niamir, L.; Polhill, J. G.; Sun, Z.; Berger, T. (2022) How to keep it adequate: A protocol for ensuring validity in agent-based simulation, Environmental Modelling & Software, 159, Art. 105559
- Troost, C.; Bell, A. R.; van Delden, H.; Huber, R.; Filatova, T.; Le, Q. B.; Lippe, M.; Niamir, L.; Polhill, J. G.; Sun, Z.; Berger, T. (2022) How to keep it adequate: A protocol for ensuring validity in agent-based simulation, Environmental Modelling & Software, 159, Art. 105559
- Taghikhah, F.; Voinov, A.; Filatova, T.; Polhill, J.G. (2022) Machine-assisted agent-based modeling: opening the black box, Journal of Computational Science, 64, Art. 101854
- Davis, N.; Jarvis, A.; Polhill, J.G. (2022) Co-evolution of network structure and consumer inequality in a spatially explicit model of energetic resource acquisition, Physica A: Statistical Mechanics and its Applications, 608, Art. 128261
- McCulloch, J.; Ge, J.; Ward, J.A.; Heppenstall, A.; Polhill, J.G.; Malleson, N. (2022) Calibrating Agent-Based Models Using Uncertainty Quantification Methods, Journal of Artificial Societies and Social Simulation, 25, 1
- McCulloch, J.; Ge, J.; Ward, J.A.; Heppenstall, A.; Polhill, J.G.; Malleson, N. (2022) Calibrating Agent-Based Models Using Uncertainty Quantification Methods, Journal of Artificial Societies and Social Simulation, 25, 1
- Antosz, P.; Szczepanska, T.; Bouman, L.; Polhill, J.G.; Jager, W. (2022) Sensemaking of causality in agent-based models, International Journal of Social Research Methods, 25(4), pp. 557-567
- Polhill, G. (2022) Antisocial simulation using shared highperformance computing clusters to run agent-based models, Review of Artificial Societies and Social Simulation, 14 December 2022
- 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
- Rivington, M.; King, R.; Duckett, D.; Iannetta, P.; Benton, T.; Burgess, P.; Hawes, C.; Wellesley, L.; Polhill, G.; Aitkenhead, M.; Lozada-Ellison, L.; Begg, G.; Williams, A.; Newton, A.; Lorenzo-Arribas, A.; Neilson, R. (2021) UK Food and nutrition security during and after the COVID19 pandemic Project Report and Recommendations., Emerging Research, 46, 88-97.
- Rivington, M.; King, R.; Duckett, D.; Iannetta, P.; Benton, T.; Burgess, P.; Hawes, C.; Wellesley, L.; Polhill, G.; Aitkenhead, M.; Lozada-Ellison, L.; Begg, G.; Williams, A.; Newton, A.; Lorenzo-Arribas, A.; Neilson, R. (2021) UK Food and nutrition security during and after the COVID19 pandemic Project Report and Recommendations., Emerging Research, 46, 88-97.
- Rivington, M.; King, R.; Duckett, D.; Iannetta, P.P.M.; Benton, T.G.; Burgess, P.J.; Hawes, C.; Wellesley, L.; Polhill, J.G.; Aitkenhead, M.; Lozada-Ellison, L.; Begg, G.; Williams, A.G.; Newton, A.C.; Lorenzo-Arribas, A.; Neilson, R.; Watts, C.; Harris, J.; Loades, K.; Stewart, D.; Wardell-Johnson, D.; Gandossi, G.; Udugbezi, E.; Hannam, J.A.; Keay, C. (2021) UK food and nutrition security during and after the COVID-19 pandemic., Nutrition Bulletin, 46, 88-97.
- Ge, J.; Polhill, J.G.; Macdiarmid, J.; Fitton, N.; Smith, P.; Clark, H.; Dawson, T.; Aphale, M. (2021) Food and nutrition security under global trade: A relation-driven agent-based global trade model., Royal Society Open Science, Article No. 201587.
- Ayllón, D.; Railsback, S.F.; Gallagher, C.; Augusiak, J.; Baveco, H.; Berger, U.; Charles, S.; Martin, R.; Focks, A.; Galic, N.; Liu, C.; van Loon, E.E.; Nabe-Nielsen, J.; Piou, C.; Polhill, J.G.; Preuss, T.G.; Radchuk, V.; Schmolke, A.; Stadnicka-Michalak, J.; Thorbek, P.; Grimm, V. (2021) Keeping modelling notebooks with TRACE: good for you and good for environmental research and management support., Environmental Modelling and Software, 136, Article No.104932.
- Polhill, J.G.; Hare, M.P.; Bauermann, T.; Anzola, D.; Palmer, E.; Salt, D.; Antosz, P. (2021) Using agent-based models for prediction in complex and wicked systems., Journal of Artificial Societies and Soicial Simulation, 24, Article No. 2.
- Cohen, J.J.; Azarova, V.; Klöckner, C.A.; Kollmann, A.; Löfström, E.; Pellegrini-Masini, G.; Polhill, J.G.; Reichl, J.; Salt, D. (2021) Tackling the challenge of interdisciplinary energy research: A research toolkit., Energy Research and Social Sciences, 74, Article No. 101966.
- Davis, N.A.; Polhill, J.G.; Aitkenhead, M.A. (2021) Measuring heterogeneity in soil networks: a network analysis and simulation-based approach., Ecological Modelling, 439, Article No. 109308.
- Reilly, J.A.; Dawson, T.P.; Matthews, R.B.; Smith, P.; Musk, C.C.; Potts, J.M.; Polhill, J.G. (2021) Projecting the effect of crop yield increases, dietary change and different price scenarios on land use under two different state security regimes., International Journal of Agricultural Sustainability,19, 288-304.
- 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, 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).
- 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,
- 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,
- Wilson R.; Colley, K.; Somervail, P.; Polhill, J.G.; Craig, T.; Salt, D.; Scalco, A.; Tiru, L-G.; Albulescu, P.; Macsinga, I.; Pellegrini-Masini, G.; Löfström, E.; Jager, W.; Antosz, P.; Bouman, L.; Dumitru, A. (2021) Integrated overview of choice behaviour and energy transitions in SMARTEES case studies, Report for SMARTEES Deliverable 4.2
- 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.
- Müller, B.; Hoffmann, F.; Heckelei, T.; Müller, C.; Hertel, T.W.; Polhill, J.G.; van Wilk, M.; Achterbosch, T.; Alexander, P.; Brown, C.; Kreuer, D.; Ewert, F.; Ge, J.; Millington, J.; Morley, T.; Seppelt, R.; Verburg, P.H.; Webber, H. (2020) Modelling food security: Bridging the gap between the micro and the macro scale., Global Environmental Change, 63, Article No. 102085.
- Polhill G.; Edmonds, B. (2023) Cognition and Hypocognition: Discursive and simulation-supported decision-making within complex systems, Futures, SI: Simulation and dissimulation, Art. 103121
- Troost, C.; Bell, A. R.; van Delden, H.; Huber, R.; Filatova, T.; Le, Q. B.; Lippe, M.; Niamir, L.; Polhill, J. G.; Sun, Z.; Berger, T. (2022) How to keep it adequate: A protocol for ensuring validity in agent-based simulation, Environmental Modelling & Software, 159, Art. 105559
- Troost, C.; Bell, A. R.; van Delden, H.; Huber, R.; Filatova, T.; Le, Q. B.; Lippe, M.; Niamir, L.; Polhill, J. G.; Sun, Z.; Berger, T. (2022) How to keep it adequate: A protocol for ensuring validity in agent-based simulation, Environmental Modelling & Software, 159, Art. 105559
- Taghikhah, F.; Voinov, A.; Filatova, T.; Polhill, J.G. (2022) Machine-assisted agent-based modeling: opening the black box, Journal of Computational Science, 64, Art. 101854
- Davis, N.; Jarvis, A.; Polhill, J.G. (2022) Co-evolution of network structure and consumer inequality in a spatially explicit model of energetic resource acquisition, Physica A: Statistical Mechanics and its Applications, 608, Art. 128261
- McCulloch, J.; Ge, J.; Ward, J.A.; Heppenstall, A.; Polhill, J.G.; Malleson, N. (2022) Calibrating Agent-Based Models Using Uncertainty Quantification Methods, Journal of Artificial Societies and Social Simulation, 25, 1
- McCulloch, J.; Ge, J.; Ward, J.A.; Heppenstall, A.; Polhill, J.G.; Malleson, N. (2022) Calibrating Agent-Based Models Using Uncertainty Quantification Methods, Journal of Artificial Societies and Social Simulation, 25, 1
- Antosz, P.; Szczepanska, T.; Bouman, L.; Polhill, J.G.; Jager, W. (2022) Sensemaking of causality in agent-based models, International Journal of Social Research Methods, 25(4), pp. 557-567
- Polhill, G. (2022) Antisocial simulation using shared highperformance computing clusters to run agent-based models, Review of Artificial Societies and Social Simulation, 14 December 2022
- Rivington, M.; King, R.; Duckett, D.; Iannetta, P.; Benton, T.; Burgess, P.; Hawes, C.; Wellesley, L.; Polhill, G.; Aitkenhead, M.; Lozada-Ellison, L.; Begg, G.; Williams, A.; Newton, A.; Lorenzo-Arribas, A.; Neilson, R. (2021) UK Food and nutrition security during and after the COVID19 pandemic Project Report and Recommendations., Emerging Research, 46, 88-97.
- Rivington, M.; King, R.; Duckett, D.; Iannetta, P.; Benton, T.; Burgess, P.; Hawes, C.; Wellesley, L.; Polhill, G.; Aitkenhead, M.; Lozada-Ellison, L.; Begg, G.; Williams, A.; Newton, A.; Lorenzo-Arribas, A.; Neilson, R. (2021) UK Food and nutrition security during and after the COVID19 pandemic Project Report and Recommendations., Emerging Research, 46, 88-97.
- Rivington, M.; King, R.; Duckett, D.; Iannetta, P.P.M.; Benton, T.G.; Burgess, P.J.; Hawes, C.; Wellesley, L.; Polhill, J.G.; Aitkenhead, M.; Lozada-Ellison, L.; Begg, G.; Williams, A.G.; Newton, A.C.; Lorenzo-Arribas, A.; Neilson, R.; Watts, C.; Harris, J.; Loades, K.; Stewart, D.; Wardell-Johnson, D.; Gandossi, G.; Udugbezi, E.; Hannam, J.A.; Keay, C. (2021) UK food and nutrition security during and after the COVID-19 pandemic., Nutrition Bulletin, 46, 88-97.
- Ge, J.; Polhill, J.G.; Macdiarmid, J.; Fitton, N.; Smith, P.; Clark, H.; Dawson, T.; Aphale, M. (2021) Food and nutrition security under global trade: A relation-driven agent-based global trade model., Royal Society Open Science, Article No. 201587.
- Ayllón, D.; Railsback, S.F.; Gallagher, C.; Augusiak, J.; Baveco, H.; Berger, U.; Charles, S.; Martin, R.; Focks, A.; Galic, N.; Liu, C.; van Loon, E.E.; Nabe-Nielsen, J.; Piou, C.; Polhill, J.G.; Preuss, T.G.; Radchuk, V.; Schmolke, A.; Stadnicka-Michalak, J.; Thorbek, P.; Grimm, V. (2021) Keeping modelling notebooks with TRACE: good for you and good for environmental research and management support., Environmental Modelling and Software, 136, Article No.104932.
- Polhill, J.G.; Hare, M.P.; Bauermann, T.; Anzola, D.; Palmer, E.; Salt, D.; Antosz, P. (2021) Using agent-based models for prediction in complex and wicked systems., Journal of Artificial Societies and Soicial Simulation, 24, Article No. 2.
- Cohen, J.J.; Azarova, V.; Klöckner, C.A.; Kollmann, A.; Löfström, E.; Pellegrini-Masini, G.; Polhill, J.G.; Reichl, J.; Salt, D. (2021) Tackling the challenge of interdisciplinary energy research: A research toolkit., Energy Research and Social Sciences, 74, Article No. 101966.
- Davis, N.A.; Polhill, J.G.; Aitkenhead, M.A. (2021) Measuring heterogeneity in soil networks: a network analysis and simulation-based approach., Ecological Modelling, 439, Article No. 109308.
- Reilly, J.A.; Dawson, T.P.; Matthews, R.B.; Smith, P.; Musk, C.C.; Potts, J.M.; Polhill, J.G. (2021) Projecting the effect of crop yield increases, dietary change and different price scenarios on land use under two different state security regimes., International Journal of Agricultural Sustainability,19, 288-304.
- Barton, C.M.; Alberti, M.; Ames, D.; Atkinson, J-A.; Bales, J.; Burke, E.; Chen, M.; Diallo, S.Y.; Earn, D.J.D.; Fath, B.; Feng, Z.; Gibbons, C.; Hammond, R.; Hefferman, J.; Houser, H.; Hovmand, P.S.; Kopainsky, B.; Mabry, P.L.; Mair, C.; Meier, P.; Niles, R.; Nosek, B.; Osgood, N.; Pierce, S.; Polhill, J.G.; Prosser, L.; Robinson, E.; Rosenzweig, C.; Sankaran, S.; Stange, K.; Tucker, G. (2020) Call for transparency of COVID-19 models., Science, 368, 482-483.
- 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, Article No. 10.
- Davis, N.; Jarvis, A.; Aitkenhead, M.J.; Polhill, J.G. (2020) Trajectories towards maximum power and inequality in resource distribution networks., PLoS ONE, 15, Article No. e0229956.
- Grimm, V.; Railsback, S.F.; Vincenot, C.; Berger, U.; Gallagher, C.; DeAngelis, D.L.; Edmonds, B.; Ge, J.; Giske, J.; Groeneveld, J.; Johnston, A.S.A.; Milles, A.; Nabe-Nielsen, J.; Polhill, J.G.; Radchuk, V.; Rohwäder, M.S.; Stillman, R.A.; Thiele, J.; Ayllón, D. (2020) The ODD protocol for describing agent-based and other simulation models: a second update to improve clarity, replication, and structural realism., Journal of Artificial Societies and Social Simulation, 23, Article No. 7.
- Müller, B.; Hoffmann, F.; Heckelei, T.; Müller, C.; Hertel, T.W.; Polhill, J.G.; van Wilk, M.; Achterbosch, T.; Alexander, P.; Brown, C.; Kreuer, D.; Ewert, F.; Ge, J.; Millington, J.; Morley, T.; Seppelt, R.; Verburg, P.H.; Webber, H. (2020) Modelling food security: Bridging the gap between the micro and the macro scale., Global Environmental Change, 63, Article No. 102085.
- Craig, T.; Polhill, J.G.; Colley, K.; Carrus, G.; Maricchiolo, F.; Bonaiuto, M.; Bonnes, M.; Dumitru, A.; Mira, R.G. (2019) Transmission of pro-environmental norms in large organizations., Sustainable Production and Consumption, 19, 25-32.
- van Voorn, G.A.K.; Polhill, J.G.; Edmonds, B.; Hofstede, G.J. (2019) Editorial - Agent-based modelling for resilience., Ecological Complexity, 40, Article No. 100775.
- Gonzalez-Redin, J.; Gordon, I.J.; Hill, R.; Polhill, J.G.; Dawson, T.P. (2019) Exploring sustainable land use forested tropical social-ecological systems: A case-study in the Wet Tropics., Journal of Environmental Management, 231, 940-952.
- Urquhart, N.; Powers, S.; Wall, Z.; Fonzone, A.; Ge, J.; Polhill, J.G. (2019) Simulating the actions of commuters using a multi-agent system., Journal of Artificial Societies and Social Simulation, 22, Article No. 10.
- Polhill, J.G.; Ge, J.; Hare, M.; Matthews, K.B.; Gimona, A.; Salt, D.; Yeluripati, J. (2019) Crossing the chasm: A ‘tube-map’ for agent-based social simulation of policy scenarios in spatially-distributed systems., Geoinformatica, 23, 169-199.
- Gonzalez-Redin, J.; Polhill, J.G.; Dawson, T.P.; Hill, R.; Gordon, I.J. (2019) Exploring sustainable scenarios in debt-based social-ecological systems: The case for palm oil production in Indonesia., Ambio, 49, 1530-1548.
- Gotts, N.M.; van Voorn, G.A.K.; Polhill, J.G.; de Jong, E.; Edmonds, B.; Hofstede, G.J.; Meyer, R. (2019) Agent-based modelling of socio-ecological systems: Models, projects and ontologies., Ecological Complexity, 40, Article No. 100728.
- Edmonds, B.; Polhill, J.G.; Hales, D. (2019) Predicting social systems -- a challenge., Review of Artificial Societies and Social Simulation, 4 November 2019.
- Ge, J.; Polhill, J.G.; Matthews, K.B.; Miller, D.G.; Spencer, M. (2018) Not one Brexit: How local context and social processes influence policy analysis., PLoS ONE, 13, Article No. e028451.
- Gonzalez-Redin, J.; Polhill, J.G., Dawson, T.P., Hill, R.; Gordon, I.J. (2018) It's not the 'what', but the 'how': Exploring the role of debt in natural resource (un)sustainability., PLoS ONE, 13, Article No. e0201141.
- Ge, J.; Polhill, J.G.; Craig, T.; Liu, N. (2018) From oil wealth to green growth: An empirical agent-based model of recession, migration and sustainable urban transition., Environmental Modelling and Software, 107, 119-140.
- Ge, J.; Polhill, J.G.; Craig, T.P. (2018) Too much of a good thing? Using a spatial agent-based model of transport to evaluate workplace sharing programs in Aberdeen., Journal of Transport Geography, 69, 83-97.
- Huber, R.; Bakker, M.; Balmann, A.; Berger, T.; Bithell, M.; Britz, W.; Brown, C.; Grêt-Regamey, A.; Hang, X.; Le, Q.B.; Mack, G.; Meyfroidt, P.; Millington, J.; Müller, B.; Polhill, J.G.; Sun, J.; Seidl, R.; Troost, C.; Finger, R. (2018) Representation of decision-making in European agricultural agent-based models., Agricultural Systems, 167, 143-160.
- Polhill, J.G. (2018) Why the social simulation community should tackle prediction., Review of Artificial Societies and Social Simulation, 6 August 2018.
- Jin, X.B.; Robinson, K.; Lee, A.; Polhill. J.G.; Pritchard, C.; Parker, D.C. (2017) A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models., Environmental Modelling and Software, 96, 172-180.
- Ge, J.; Sutherland, L.A.; Polhill, J.G.; Matthews, K.B.; Miller, D.G.; Wardell-Johnson, D. (2017) Exploring factors affecting on-farm renewable energy adoption in Scotland using large-scale microdata., Energy Policy, 107, 548-560.
- Garcia-Mira, R.; Dumitru, A.; Alonso-Betanzos, A.; Sánchez-Maroño, N.; Fontenla-Romero, O.; Craig, T.; Polhill, J.G (2017) Testing scenarios to achieve workplace sustainability goals using backcasting and agent-based modeling., Environment and Behavior, 49, 1007-1037.
- 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.
- Jin, X.B.; Robinson, K.; Lee, A.; Polhill. J.G.; Pritchard, C.; Parker, D.C. (2017) A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models., Environmental Modelling and Software, 96, 172-180.
- Gotts, N.M.; Polhill, J. G. (2017) Experiments with a model of domestic energy demand., Journal of Artificial Societies and Social Simulation, 20, Article No. 11.
- Lee, J.-S.; Filatova, T.; Ligmann-Zielinska, A.; Hassani-Mahmooei, B.; Stonedahl, F.; Lorscheid, I.; Voinov, A.; Polhill, J.G.; Sun, Z.; Parker, D.C. (2015) The complexities of agent-based modeling output analysis., Journal of Artificial Societies and Social Simulation, 18, Article No. 4.
- Sanchez-Marono, N.; Alonso-Betanzos, A.; Fontenla-Romero, O.; Brinquis-Nunez, C.; Polhill, J.G.; Craig, T.; Dumitru, A.; Garcia-Mira, R. (2015) An agent-based model for simulating environmental behavior in an educational organization., Neural Processing Letters, 42, 89-118.
- Polhill, J.G. (2015) Extracting OWL ontologies from agent-based models: a netlogo extension., Journal of Artificial Societies and Social Simulation, 18, Article No. 15.
- 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.
- Gjefsen, M. D.; Burton, R.; Rønning, S.; Klöckner, C. A.; Helliwell, R.; Mittenzwei, K.; Campbell, H.; Polhill, G.; Roxburgh, N.; Vilhelmsen, K. (2023) Towards a cellular food future: Final recommendations from the Protein 2.0 project to Norwegian policy makers and food system actors, Technical Report N-1/23, Ruralis, Trondheim, Norway
- Gjefsen, M. D.; Burton, R.; Rønning, S.; Klöckner, C. A.; Helliwell, R.; Mittenzwei, K.; Campbell, H.; Polhill, G.; Roxburgh, N.; Vilhelmsen, K. (2023) Towards a cellular food future: Final recommendations from the Protein 2.0 project to Norwegian policy makers and food system actors, Technical Report N-1/23, Ruralis, Trondheim, Norway
- 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).
- 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,
- 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,
- Wilson R.; Colley, K.; Somervail, P.; Polhill, J.G.; Craig, T.; Salt, D.; Scalco, A.; Tiru, L-G.; Albulescu, P.; Macsinga, I.; Pellegrini-Masini, G.; Löfström, E.; Jager, W.; Antosz, P.; Bouman, L.; Dumitru, A. (2021) Integrated overview of choice behaviour and energy transitions in SMARTEES case studies, Report for SMARTEES Deliverable 4.2
- 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.
- Gotts, N.M.; Polhill, J.G. (2014) The CEDSS model of direct domestic energy demand., 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.
- 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.
