Community

Gilberto Camara Member since: Tuesday, January 14, 2014 Full Member Reviewer

PhD

One of my research areas is agent-based modelling of land change in Brazil. I have worked with ABM in frontier areas of the Brazilian Amazon. I am also part of the team that develops TerraME, an OSS toolkit for ABM in cellular spaces.

Roy Wilson Member since: Thursday, March 24, 2016

PhD Social and Comparative Analysis in Education, MS History and Policy, MH Humanities, MS Computer Science, MA Mathematics, BA Mathematics and Philosophy

I am interested in the study of small-group decision-making using agent-based simulation of models grounded in sociological social psychology. I am also interested in a particular kind of small-group decision-making: peer review.

Simon Johanning Member since: Monday, July 17, 2017

BMus Composition & Music Technology, MA DDC: Music Technology

IRPact - An integrated agent based modeling approach in innovation diffusion

Goal: The goal of IRPact is to develop a flexible and generic innovation-diffusion ABM (agent-based modelling) framework, based on requirements derived from a literature analysis. The aim of IRPact is to allow for modeling a large number of application contexts and questions of interest.
It provides a formal model (framework) as well as a software implementation in order to assist modelers with a basic infrastructure for their own research.
Conceptually it is thought to be part of the IRPsim (https://irpsim.uni-leipzig.de), with the vision to bring together rational approaches and cognitive modeling in an integrated approach within the context of sustainable energy markets.

Irene Perez Ibarra Member since: Friday, August 14, 2009 Full Member Reviewer

Carlos Alexandre Ferreira Gama Member since: Wednesday, July 17, 2019 Full Member

M.Sc., Economics, IBMEC, B.Sc., Industrial Engineering, UERJ

Intrapreneur and experienced Consultant with a demonstrated history in the energy industry. Skilled in Business Planning, Corporate Finance, Digital Transformation and Analytics. Strong consulting professional focused in Organizational Development and Project Management. I have a degree in Industrial Engineering from the Rio de Janeiro State University (2000) and a master’s degree in Economics from Brazilian Institute of Capital Markets IBMEC (2003). Has experience in the area of Computer Science, with emphasis on Modeling of Complex Systems.

Complex Systems
Agent-based Models
System Dynamics
Innovation
Economics
Organizational Development

Christopher Watts Member since: Monday, March 14, 2011 Full Member

PhD Warwick Business School, MSc Operational Research, University of Southampton, Post-graduate Diploma in Theology, University of Cambridge, MA / BA (Hons.) Philosophy, University of Cambridge

I live near Cambridge, and recently I developed agent-based land-use models with Geography PhD students there. I also took part in the “Cybernetics and Society” seminar.

Previously, I spent three years at Ludwig-Maximillians University, Munich, working on Human-Environment Relations and Sustainability, and over two and a half years at Surrey University, working on Innovation with Nigel Gilbert in the Centre for Research in Social Simulation (CRESS). The project at Surrey resulted in a book in 2014, “Simulating Innovation: Computer-based Tools for Rethinking Innovation”. My PhD topic, modelling human agents who energise or de-energise each other in social interactions, drew upon the work of sociologist Randall Collins. My multi-disciplinary background includes degrees in Operational Research (MSc) and Philosophy (BA/MA).

I got hooked on agent-based modelling and complexity science some time around 2000, via the work of Brian Arthur, Stuart Kauffman, Robert Axelrod and Duncan Watts (no relation!).

I am an agent-based modeller specialising in Netlogo and Excel/VBA. My recent interests include Human-Environment Relations, Innovation, Collective Intelligence and Governance Systems, and the Collapse of Complex Societies.

I have a longer term aim to study the modelling of Institutions, especially the cognitive architecture for agents who can recognise, learn and innovate in institutions.

If you’re based near Cambridge and have an idea for a modelling project, for the cost of a beer/coffee I’m always willing to offer advice.

Marta Czarnocka-Cieciura Member since: Wednesday, January 08, 2020

I graduated Bachelor and Master studies at the University of Warsaw, obtaining the diploma in biology at College of Inter-Faculty Individual Studies in Mathematics and Natural Sciences (MISMaP). After graduation I worked as a freelancer in data science and statistics, then worked for 2 years as a data scientist in an IT startup and now I am working as a statistician in The Polish National Information Processing Institute (OPI PIB) in a group analysing condition of science and higher education in Poland. My interests: agent based modelling, evolutionary ecology, statistics, data science, sociology of science.

Kit Martin Member since: Thursday, January 15, 2015 Full Member

B.A. History, Bard College, M.A. International Development Practice Humphrey School of Public Affairs, PhD. Northwestern, Learning Sciences

I have a strong background in building and incorporating agent-based simulations for learning. Throughout my graduate career, I have worked at the Center for Connected Learning and Computer Based Modeling (CCL), developing modeling and simulation tools for learning. In particular, we develop NetLogo, the gold standard agent-based modeling environment for learners around the world. In my dissertation work, I marry biology and computer science to teach the emergent principles of ant colonies foraging for food and expanding. The work builds on more than a decade of experience in ABM. I now work at the Center for the Science and the Schools as an Assistant Professor. We delivered a curriculum to teach about COVID-19, where I incorporated ABMs into the curriculum.

You can keep up with my work at my webpage: https://kitcmartin.com

Studying the negative externalities of networks, and the ways in which those negatives feedback and support the continuities.

Liliana Perez Member since: Thursday, October 11, 2018 Full Member

B.Eng, Geomatics, Distrital University, Colombia, MSc., Geography, UPTC, Colombia, Ph.D., Geography, Simon Fraser University, Canada

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 an Associate 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

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.

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