Dr Serena Hamilton

Contacts

Research Fellow

Serena is a research fellow in the area of water resources management and socio-environmental systems modelling. Her research has focussed on integrated assessment and modelling for improving understanding of system linkages and management of environmental resources and assets. She completed her PhD at the Fenner School of Environment & Society, ANU in 2013.

Projects

  • Hamilton, S, Pollino, C, Stratford , D et al. 2022, 'Fit-for-purpose environmental modeling: Targeting the intersection of usability, reliability and feasibility', Environmental Modelling and Software, vol. 148.
  • Merritt, W, Hamilton, S, Bagchi, N et al. 2022, 'Reflecting on an Integrated Approach to Understanding Pathways for Socially Inclusive Agricultural Intensification', Journal of Development Studies, vol. 58, no. 8, pp. 1569-1587.
  • Iwanaga, T, Wang, H, Hamilton, S et al. 2021, 'Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach', Environmental Modelling and Software, vol. 135.
  • El Sawah, S, Filatova, T, Jakeman, A et al. 2020, 'Eight grand challenges in socio-environmental systems modeling', Socio-Environmental Systems Modelling, vol. 2.
  • Elsawah, S, Hamilton, S, Jakeman, A et al. 2020, 'Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making', Science of the Total Environment, vol. 729, pp. -.
  • Hamilton, S, Merritt, W, Das, M et al. 2020, 'Integrated Assessment-How Does It Help Unpack Water Access by Marginalized Farmers?', Water, vol. 12, no. 12.
  • Hamilton, S, Powell, S, Norton, J et al. 2019, 'Ecological Models: Model Development and Analysis', in Brian Fath (ed.), Encyclopedia of Ecology (Second Edition), Elsevier, Amsterdam, Netherlands, pp. 74-82pp.
  • Hamilton, S, Fu, B, Guillaume, J et al 2019, 'A framework for characterising and evaluating the effectiveness of environmental modelling', Environmental Modelling and Software, vol. 118, pp. 83-98.
  • Badham, J, Hunt, R, Guillaume, J et al 2019, 'Effective modeling for Integrated Water Resource Management: a guide to contextual practices by phases and steps and future opportunities', Environmental Modelling and Software, vol. 116, pp. 40-56.
  • Gibert, K, Izquierdo, J, Sànchez-Marrè, M et al. 2018, 'Which method to use? An assessment of data mining methods in Environmental Data Science', Environmental Modelling and Software, vol. 110, pp. 3-27.
  • Hamilton, S, Pollino, C & Walker, K 2017, 'Regionalisation of freshwater fish assemblages in the Murray-Darling Basin, Australia', Marine and Freshwater Research, vol. 68, no. 4, pp. 629-649pp.
  • El Sawah, S, Pierce, S, Hamilton, S et al 2017, 'An overview of the system dynamics process for integrated modelling of socio-ecological systems: Lessons on good modelling practice from five case studies', Environmental Modelling and Software, vol. 93, no. -, pp. 127-145.
  • Hamilton, S, El Sawah, S, Guillaume, J et al 2015, 'Integrated assessment and modelling: Overview and synthesis of salient dimensions', Environmental Modelling and Software, vol. 64, pp. 215-229.
  • Hamilton, S, Pollino, C & Jakeman, A 2015, 'Habitat suitability modelling of rare species using Bayesian networks: Model evaluation under limited data', Ecological Modelling, vol. 299, pp. 64-78.
  • Bennett, N, Croke, B, Guariso, G et al 2013, 'Characterising performance of environmental models', Environmental Modelling and Software, vol. 40, pp. 1-20.
  • Kelly (Letcher), RA, Jakeman, AJ, Barreteau, O et al 2013, 'Selecting among five common modelling approaches for integrated environmental assessment and management', Environmental Modelling and Software, vol. 47, pp. 159-181.
  • Chen, S and Pollino, C, 2012. Good practice in Bayesian network modelling. Environmental Modelling and Software 37, 134-145.
  • McIntosh, B, Ascough II, J, Twery, M, Chew, J, Elmahdi, A, Haase, D, Harou, J, Hepting, D, Cuddy, S, Jakeman, A, Chen, S, Kassahun, A, Lautenbach, S, et al. 2011, 'Environmental decision support systems (EDSS) development - Challenges and best practices', Environmental Modelling and Software, vol. 26, no. 12, pp. 1389-1402.
  • Chen, S, Jakeman, A & Norton, J 2008, 'Artificial Intelligence techniques: An introduction to their use for modelling environmental systems', Mathematics and Computers in Simulation, vol. 1, no. 78, pp. 379-400.
  • Jakeman, A, Voinov, A, Rizzoli, A, Chen, S. eds, 2008, Environmental Modelling, Software and Decision Support: State of the art and new perspectives, Elsevier, The Netherlands.