Community

Gudrun Wallentin Member since: Friday, October 28, 2016 Full Member

MSc. in GIS, Mag. in Ecology

Positions held today:
• Associate Professor for Geoinformatics and Ecology at the University of Salzburg (since 2017)
• UNIGIS Program Director (since 2020)
• Head of the Research Group “Spatial Simulation” (since 2013)

Major academic milestones:
• Assistant Professor, Department for Geoinformatics, University of Salzburg (2013-2017)
• Associate Faculty in the FWF Doctoral College “GIScience” (2013-2017)
• Director of Studies UNIGIS MSc distance learning programs, University of Salzburg (2012-2020)
• PhD at the University of Innsbruck on ecological modelling (2011)
• Research Assistant Austrian Academy of Sciences, GIScience Institute (2007-2011)
• Magistra in Ecology, Univ. of Innsbruck (2001) and MSc in GIS, Univ. of Edinburgh (2006)

Spatially-explicit simulation modelling of complex, ecological systems: * the added value of spatially-explicit modelling * Hybrid agent-based and system-dynamics modelling in ecology * Agent-based models, Cellular Automata

Steve Peck Member since: Friday, April 24, 2020 Full Member

Biographical Sketch

(a) Professional Preparation

Brigham Young University Statistics & Computer Science B.S. 1986
University of North Carolina Chapel Hill Biostatistics M.S. 1988
North Carolina State University Biomathematics & Entomology Ph.D. 1997

(b) Appointments

Associate Professor 2006-current: Brigham Young University Department of Biology
Assistant Professor 2000-2006: Brigham Young University Department of Integrative Biology
Research Scientist 1997-1999: Agriculture Research Service-USDA Pacific Basin Agricultural Research Center.

(c) Publications

i. Five most relevant publications

Ahmadou H. Dicko, Renaud Lancelot, Momar Talla Seck, Laure Guerrini, Baba Sall, Mbargou Low, Marc J.B. Vreysen, Thierry Lefrançois, Fonta Williams, Steven L. Peck, and Jérémy Bouyer. 2014. Using species distribution models to optimize vector control: the tsetse eradication campaign in Senegal. Proceedings of the National Academy of Science. 11 (28) : 10149-10154
Peck, S. L. 2014. Perspectives on why digital ecologies matter: Combining population genetics and ecologically informed agent-based models with GIS for managing dipteran livestock pests. Acta Tropica. 138S (2014) S22–S25
Peck, S. L. and Jérémy Bouyer. 2012. Mathematical modeling, spatial complexity, and critical decisions in tsetse control. Journal of Economic Entomology 105(5): 1477—1486.
Peck, S. L. 2012. Networks of habitat patches in tsetse fly control: implications of metapopulation structure on assessing local extinction probabilities. Ecological Modelling 246: 99–102.
Peck, S. L. 2012. Agent-based models as fictive instantiations of ecological processes.” Philosophy & Theory in Biology. Vol. 4.e303 (2012): 12

ii. Five other publications of note

Peck, S. L. 2008. The Hermeneutics of Ecological Simulation. Biology and Philosophy 23:383-402.
K.M. Froerer, S.L. Peck, G.T. McQuate, R.I. Vargas, E.B. Jang, and D.O. McInnis. 2010. Long distance movement of Bactrocera dorsalis (Diptera: Tephritidae) in Puna, Hawaii: How far can they go? American Entomologist 56(2): 88-94
Peck, S. L. 2004. Simulation as experiment: a philosophical reassessment for biological modeling. Trends in Ecology and Evolution 19 (10): 530 534
Storer N.P., S. L. Peck, F. Gould, J. W. Van Duyn and G. G. Kennedy. 2003 Sensitivity analysis of a spatially-explicit stochastic simulation model of the evolution of resistance in Helicoverpa zea (Lepidoptera: Noctuidae) to Bt transgenic corn and cotton. Economic Entomology. 96(1): 173-187
Peck, S. L., F. Gould, and S. Ellner. 1999. The spread of resistance in spatially extended systems of transgenic cotton: Implications for the management of Heliothis virescens (Lepidoptera: Noctuidae). Economic Entomology 92:1-16.

emaille Member since: Friday, February 03, 2012

Ph D.

Land cover changes spatial agents based modelling
Forest fire risk modelling
Geographical information based modelling
Decision support for land planning

Ifigeneia Koutiva Member since: Monday, June 21, 2010 Full Member

PhD in Civil Engineering, National Technical University of Athens, M.Sc. in Environmental Technology, Imperial College London, Postgraduate Diploma in Water Resources and Environmental Management (online), University of Belgrade, Mining and Metallurgy Engineering, National Technical University of Athens

Ifigeneia Koutiva (female) is a senior environmental engineer, holding a PhD in Civil Engineering (NTUA), a Postgrad Diploma in Water Resources and Environmental Management (Un. of Belgrade - e-learning), an MSc in Environmental Technology (Imperial College London) and an MSc in Mining and Metallurgy Engineering (NTUA). Her PhD was funded by the Greek Ministry of Education through Heracleitous II scholarship. She is currently a postdoctoral scholar of the State Scholarship Foundation (IKY) for 2020 - 2021. She has 10 years of experience in various EU funded research projects, both as a researcher and as a project manager, in the fields of socio-technical simulation, urban water modelling, modelling and assessment of alternative water technologies, artificial intelligence, social quantitative research, KPI and water indicators development and assessment and analysis of large data sets. She is very competent with programming for creating ICT tools for agent based modelling and data analysis tools and she is an experienced user of spatial analysis software and tools. She is also actively involved in the design and implementation of numerous consultation workshops and conferences. She has authored more than 20 scientific journal articles, conferences articles and research reports.

My research interests lay within the interface of social, water and modelling sciences. I have created tools that explore the effects of water demand management policies in domestic urban water demand behaviour and the effects of civil decision making in flood risk management. I am interested in agent based modelling, artificial intelligence techniques, the creation of ABM tools for civil society, Circular Economy, distributed water technologies and overall urban water management.

Nicholas Magliocca Member since: Wednesday, March 21, 2018 Full Member

My broad research interests are in human-environmental interactions and land-use change. Specifically, I am interested in how people make land-use decisions, how those decisions modify the functioning of natural systems, and how those modifications feedback on human well-being, livelihoods, and subsequent land-use decisions. All of my research begins with a complex systems background with the aim of understanding the dynamics of human-environment interactions and their consequences for environmental and economic sustainability. Agent-based modeling is my primary tool of choice to understand human-environment interactions, but I also frequently use other land change modeling approaches (e.g., cellular automata, system dynamics, econometrics), spatial statistics, and GIS. I also have expertise in synthesis methods (e.g., meta-analysis) for bringing together leveraging disparate forms of social and environmental data to understand how specific cases (i.e., local) of land-use change contribute to and/or differ from broader-scale (i.e. regional or global) patterns of human-environment interactions and land change outcomes.

Dana Kaziyeva Member since: Friday, October 12, 2018

Spatial simulations in transport modelling domain

Godwin Yeboah Member since: Friday, April 12, 2013 Full Member Reviewer

PhD in Built Environment (expected 2013), MSc in Software Technology, MSc in Geoinformatics and Photogrammetry

Claude Monteil Member since: Tuesday, February 07, 2017

Associate Professor

Modeling of spatialized social-ecological-agrosystems

Muhammad Indra Al Irsyad Member since: Wednesday, November 22, 2017 Full Member Reviewer

Master degree, PhD candidate

My research examines the most effective and efficient policies for renewable energy development using an approach that integrates input-output analysis, life cycle analysis, econometric, and agent-based modelling to estimate the impacts of the policies to economic, emission, extracted materials, renewable energy capacity and social acceptance.

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