Community

Nanda Wijermans Member since: Monday, October 11, 2010 Full Member Reviewer

In my research I focus on understanding human behaviour in group(s) as a part of a complex (social) system. My research can be characterised by the overall question: ‘How does group or collective behaviour arise or change given its social and physical context?‘ More specifically, I have engaged with: ‘How is (individual) human behaviour affected by being in a crowd?’, ‘Why do some groups (cooperatively) use their resources sustainably, whereas others do not?‘, ‘What is the role of (often implicit simplistic) assumptions regarding human behaviour for science and/or management?’

To address these questions, I use computational simulations to integrate and reflect synthesised knowledge from literature, empirics and experts. Models, simulation and data analysis are my tools for gaining a deeper understanding of the mechanisms underlying such systems. More specifically, I work with agent-based modelling (ABM), simulation experiments and data analysis of large datasets. Apart from crowd modelling and social-ecological modelling, I also develop methodological tools to analyse social simulation data and combining ABM with other methods, such as behavioural experiments.

Luis Gustavo Nardin Member since: Thursday, August 04, 2011

  • Modeling and Simulation (Agent-Based & Discrete-Event)
  • Simulation Analytics
  • Computational Social Sciences

Manuel Castañón-Puga Member since: Wednesday, October 16, 2019 Full Member

Ph.D. Computer Science, Universidad Autónoma de Baja California, México., MSC Computer Science, Tecnológico Nacional de México, México., ENG Industrial, Tecnológico Nacional de México, México.

I´m a full Professor at Chemistry and Engineering School at the Universidad Autónoma de Baja California in Mexico. I teach computer sciences and software engineering in graduate and undergraduate academic programs.

  • Computational science
  • Computational social science
  • Social-inspired ICT
  • Social computation
  • Agents technology
  • Computational intelligence and hybrid-intelligent agents
  • Complexity and complex systems
  • Multi-agent systems
  • Computational modeling
  • Context-oriented programming
  • Knowledge Management
  • Software engineering

Meike Will Member since: Thursday, June 11, 2020

  • since 03/2017: PhD Student at the Department of Ecological Modelling, PhD Topic: “Effects of microinsurance on informal safety nets and on strategies for natural resource use – a model-based analysis” (SEEMI-Project in collaboration with the Junior Research Group POLISES)
  • 10/2014 - 02/2017 Master of Science in Physics, Leipzig University
  • 10/2011 - 12/2014 Bachelor of Science in Physics, Leipzig University
  • Agent-based modelling of social-ecological systems
  • Coupling of agent-based modelling and social network analysis
  • Effects of microinsurance on informal risk-sharing arrangements and on land-use strategies
  • Representation of human decision-making in agent-based models

Cristina Chueca Del Cerro Member since: Friday, May 15, 2020

I’m a PhD researcher at the University of Glasgow working on modelling political polarisation on social media platforms suing agent-based models

agent-based models, social networks, python, R, NetLogo

Juan Ocampo Member since: Wednesday, September 11, 2019 Full Member

PhD Candidate at Lund School of Economics and Management - Sweden, (2019) MSocSc Organizational Innovation and Entrepreneurship, Copenhagen Business School, (2016) MSc in Industrial Engineering, Universidad de los Andes, (2012) Industrial Engineering, Universidad de los Andes, Colombia

I am Colombian with passion for social impact. I believe that change starts at the individual, community, local and then global level. I have set my goal in making a better experience to whatever challenges I encounter and monetary systems and governance models is what concerns me at the time.

In my path to understanding and reflecting about these issues I have found my way through “Reflexive Modeling”. Models are just limited abstractions of reality and is part of our job as researchers to dig in the stories behind our models and learn to engage in a dialogue between both worlds.

Technology empowers us to act locally, autonomously and in decentralized ways and my research objective is to, in a global context, find ways to govern, communicate and scale the impact of alternative monetary models. This with a special focus on achieving a more inclusive and community owned financial system.

As a Ph.D. fellow for the Agenda 2030 Graduate School, I expect to identify challenges and conflicting elements in the sustainability agenda, contribute with new perspectives, and create solutions for the challenges ahead

Tatiana Filatova Member since: Tuesday, October 04, 2011 Full Member

PhD (Cum Laude), Department of Water Engineering and Management, University of Twente, The Netherlands

I am Professor in Computational Resilience Economics at the University of Twente (the Netherlands), which I joined in 2010. In September 2017 I also joined University of Technology Sydney (Australia) as Professor of Computational Economic Modeling working with spatial simulation models to study socioeconomic impacts of disasters and emergence of resilience across scales. I was honored to be elected as a Member of the De Jonge Akademie of the Royal Dutch Academy of Sciences (DJA/ KNAW in 2016) and of Social Sciences Council (SWR/KNAW in 2017). From 2009 to 2015 I have been working part-time as an economist at Deltares – the leading Dutch knowledge institute in the field of water management – specializing in economics of climate change, with focus on floods and droughts management.

I am interested in the feedbacks between policies and aggregated outcomes of individual decisions in the context of spatial and environmental policy-making. The issue of social interactions and information diffusion through networks to affect economic behavior is highly relevant here. My research line focuses on exploring how behavioral changes at micro level may lead to critical transitions (tipping points/regime shifts) on macro level in complex adaptive human-environment systems in application to climate change economics. I use agent-based modelling (ABM) combined with social science methods of behavioral data collection on individual decisions and social networks. This research line has been distinguished by the NWO VENI and ERC Starting grants and the Early Career Excellence award of the International Environmental Modeling Society (iEMSs). In 2018 I was invited to serve as the Associate Editor of the Environmental Modelling & Software journal, where I have been a regular Member of the Editorial Board since 2013.

Ian Stuart Member since: Saturday, January 09, 2021 Full Member

I have only just started becoming active in research/agent based modeling.

I find agent based computational economics interesting. I would also be interested in combining agent based modeling to explore cultural anthropology, government policies, socioeconomic stratification, and the diffusion of information.

Rubén Darío Villota Galeano Member since: Tuesday, September 25, 2018

Researcher in Computational Social Sciences

Computational Social Sciences

Roberto Gonzalez Member since: Thursday, April 23, 2020 Full Member

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

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