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My research interests stand between natural resource management and ecological economics. The aim of my PhD project responds to the increasing demand for cross-disciplinary agent-based models that examine the disjunction between economic growth and more sustainable use of natural resources.
My research attempts to test the effectiveness of different governance and economic frameworks on managing natural resources sustainably at both regional and national levels. The goal is to simulate how communities and institutions manage the commons in complex socio-ecological systems through several case-studies, e.g. rainforest management in Australia. It is hoped that the models will highlight which combination of variables lead to positive trends in both economic and environmental indicators, which could stimulate more sustainable practices by governments, private sectors and civil society.
My research interests include policy informatics and decision making, modeling in policy analysis and management decisions, public health management and policy, and the role of public value in policy development. I am particularly interested in less mainstream approaches to modeling that account for learning, feedback, and other systems dynamics. I include Bayesian inference, agent-based models, and behavioral assumptions in both my research and teaching.
In my dissertation research, I conceptualize state Medicaid programs as complex adaptive systems characterized by diverse actors, behaviors, relationships, and objectives. These systems reproduce themselves through both strategic and emergent mechanisms of program management. I focus on the mechanism by which citizens are sorted into or out of the system: program enrollment. Using Bayesian regression and agent-based models, I explore the role of administrative practices (such as presumptive eligibility and longer continuous eligibility periods) in increasing enrollment of eligible citizens into Medicaid programs.
I am an environmental economist at UFZ - Helmholtz Centre for Environmental Research in Leipzig, Germany. I did my PhD (Dr. rer. pol.) in environmental economics at the Martin Luther University Halle-Wittenberg in 2017. Before that, I received my master’s (2013; economics) and bachelor’s degrees (2010; cultural studies) from the same university.
My research focus is on the economic analysis of agri-environmental policy instruments as means to navigate ecosystem service trade-offs in multifunctional landscapes. In this context, I am particularly interested in identifying policy instruments and instrument mixes allowing to align societal preferences with biophysical potential of landscapes to provide multiple ecosystem services. Here, the mutual relationship between regulatory and incentive-based instruments is of much interest. Using agent-based modelling, but also more qualitative approaches, I look at the emerging landscape-level patterns that result from various policy mixes given realistic descriptions of farmers’ behaviour and institutional settings.
My initial training was in cadastre and geodesy (B.Eng from the Distrital University, UD, Colombia). After earning my Master’s degree in Geography (UPTC, Colombia) in 2003, I worked for the “José Benito Vives de Andreis” marine and coastal research institute (INVEMAR) and for the International Center for Tropical Agriculture (CIAT). Three years later, in 2006, I left Colombia to come to Canada, where I began a PhD in Geography with a specialization in modelling complex systems at Simon Fraser University (SFU), under the direction of Dr. Suzana Dragicevic (SAMLab). In my dissertation I examined the topic of spatial and temporal modelling of insect epidemics and their complex behaviours. After obtaining my PhD in 2011, I began postdoctoral studies at the University of British Columbia (2011) and the University of Victoria (2011-2013), where I worked on issues concerning the spatial and temporal relationships between changes in indirect indicators of biodiversity and climate change.
I am a Full Professor in the Department of Geography at the University of Montreal. My research interests center around the incorporation of artificial intelligence and machine learning techniques into the development Agent-Based Models to solve complex socio-ecological problems in different kind of systems, such as urban, forest and wetland ecosystems.
The core of my research projects aim to learn more about spatial and temporal interactions and relationships driving changes in our world, by focusing on the multidisciplinary nature of geographical information science (GIScience) to investigate the relationships between ecological processes and resulting spatial patterns. I integrate spatial analysis and modeling approaches from geographic information science (GIScience) together with computational intelligence methods and complex systems approaches to provide insights into complex problems such as climate change, landscape ecology and forestry by explicitly representing phenomena in their geographic context.
Specialties: Agent-based modeling, GIScience, Complex socio-environmental systems, Forestry, Ecology
Charlotte is an International PhD graduate originally from New Zealand who first came to ASU to pursue her PhD in Anthropology in Aug 2013, thanks to receiving a Science and Innovation Scholarship through the Fulbright Program. She holds a BS majoring in Genetics and a BA majoring in Anthropology from Otago University, New Zealand. She received her Masters in Anthropology in May 2015 and her PhD in Anthropology in 2022 both from ASU. Her main areas of interest are Human Migration, Migration Decision Making, and Environmental Perceptions.
At present she is an Assistant Research Scientist with the School of Complex Adaptive Systems at ASU where she is primarily focused on her roles as the administrative coordinator for CoMSES.NET and The Open Modeling Foundation. She is also adjunct Anthropology faculty at Phoenix College, and Chandler-Gilbert Community College teaching various undergraduate anthropology courses. She is deeply interested in how computational tools and technologies can be used to explore complex adaptive systems, explore possible futures, and better inform policy and decision makers at the leading edge of change.
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.
Hello,
My name is Roberto and I am a graduate student at The Pennsylvania State University. I am in the “Information Sciences - Cybersecurity and Information Assurance program”, through which I discovered my interest in ABM. I am conducting my capstone research project on how to make ABM more effective in the disaster recovery planning process of IT companies. I am currently looking for interview candidates to conduct my research. If you or anyone you know have experience using ABM for disaster recovery planning in IT or tech, please reach out!
I learned about ABM through the Intelligent Agents course at Penn State, where we modeled everything from terrorist attacks to social relationships. I was immediately interested in ABM due to the potential and capabilities that it provides in so many areas. I hope to make ABM more popular in IT disaster recovery planning through my research, while learning more about ABM myself.
Cyber security
Agent-Based Modeling
Information Technology
Disaster Recovery
I hold a MA in Prehistory and a master degree in International Relations, both obtained at the Sapienza University of Rome. After this I obtained a PhD in Pre- and Protohistory and Aegean Archaeology from the University of Heidelberg in cotutelle de thèse with the University of Paris 1 Sorbonne Panthéon. Since 2018 I hold a permanent position as senior researcher at the Italian National Research Council. Prior to this I had worked as postdoctoral researcher at the Ruhr University of Bochum, University of Heidelberg, University of Amsterdam and University of Mainz.
I specialize in prehistoric archaeology (6 to 2 mill BC) with a focus on the Balkans and Central Mediterranean. My interest stretches from the relationship between past identities and material culture, large mobility patterns and cultural transmission to development of archaeological theory, network analysis and Agent-based Modelling, archaeological discourses in present day identity building and political uses of archaeology.
Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.
Designing serious games to increase awareness about climate change or natural disasters; to improve civil engagement in sustainable urban planning; to teach Artificial Intelligence to the general public; to explain social phenomena (voting procedures; sanitary policies; etc).
Moira Zellner’s academic background lies at the intersection of Urban and Regional Planning, Environmental Science, and Complexity. She has served as Principal Investigator and Co-Investigator in interdisciplinary projects examining how specific policy, technological and behavioral factors influence the emergence and impacts of a range of complex socio-ecological systems problems, where interaction effects make responsibilities, burdens, and future pathways unclear. Her research also examines how participatory complex systems modeling with stakeholders and decision-makers can support collaborative policy exploration, social learning, and system-wide transformation. Moira has taught a variety of courses and workshops on complexity-based modeling of socio-ecological systems, for training of researchers, practitioners, and decision-makers in the US and abroad. She has served the academic community spanning across the social and natural sciences, as reviewer of journals and grants and as a member of various scientific organizations. She is dedicated to serving the public through her engaged research and activism.
Applications of agent-based modeling to urban and environmental planning
Participatory modeling
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