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
- 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.; 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,
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ge, J.; Polhill, J.G. (2016) Exploring the combined effect of factors influencing commuting patterns and CO2 emissions in Aberdeen using an agent-based model., Journal of Artificial Societies and Social Simulation, 19, Article No. 11.
- Polhill, J.G.; Filatova, T.; Schlüter, M.; Voinov, A. (2016) Preface to the thematic issue on modelling systemic change in coupled socio-environmental systems., Environmental Modelling and Software, 75, 317.
- Polhill, J.G.; Filatova, T.; Schluter, M.; Voinov, A. (2016) Modelling systemic change in coupled socio-environmental systems., Environmental Modelling and Software, 75, 318-332.
- Filatova, T.; Polhill, J.G.; van Ewijk, S. (2016) Regime shifts in coupled socio-environmental systems: review of modelling challenges and approaches., Environmental Modelling and Software, 75, 333-347.
- 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.
- Gimona, A.; Poggio, L.; Polhill, J.G.; Castellazzi, M. (2015) Habitat networks and food security: promoting species range shift under climate change depends on life history and the dynamics of land use choices., Landscape Ecology, 30, 771-789.
- Craig, T.; Polhill, J.G.; Dent, I.; Galan-Diaz, C.; Heslop, S. (2014) The North East Scotland Energy Monitoring Project: Exploring relationships between household occupants and energy usage., Energy and Buildings, 75, 493-503.
- 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.
- 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.