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Timothy Dennehy Member since: Monday, March 11, 2013

BA Psychology, MA Anthropology

Prehistoric archaeology of hunter-gatherer societies in Mesoamerica and American Southeast; comparative analysis of urban form and service provision; social inequality; complex adaptive systems; cultural evolution.

Sedar Olmez Member since: Wednesday, November 06, 2019 Full Member

MSci in Computer Science, MSc in Data Analytics and Society

Sedar is a PhD student at the University of Leeds, department of Geography. He graduated in Computer Science at King’s College London 2018. From a very early stage of his degree, he focused on artificial intelligence planning implementations on drones in a search and rescue domain, and this was his first formal attempt to study artificial intelligence. He participated in summer school at Boğaziçi University in Istanbul working on programming techniques to reduce execution time. During his final year, he concentrated on how argumentation theory with natural language processing can be used to optimise political influence. In the midst of completing his degree, he applied to Professor Alison Heppenstall’s research proposal focusing on data analytics and society, a joint endeavour with the Alan Turing Institute and the Economic and Social Research Council. From 2018 - 2023 he will be working on his PhD at the Alan Turing Institute and Leeds Institute for Data Analytics.

Sedar will be focusing on data analytics and smart cities, developing a programming library to try simulate how policies can impact a small world of autonomous intelligent agents to try deduce positive or negative impact in the long run. If the impact is positive and this is conveyed collectively taking into consideration the agent’s health, happiness and other social characteristics then the policy can be considered. Furthermore, he will work on agent based modelling to solve and provide faster solutions to economic and social elements of society, establishing applied and theoretical answers. Some other interests are:

  • Multi-agent systems
  • Intelligent agents
  • Natural language processing
  • Artificial intelligence planning
  • Machine learning
  • Neural networks
  • Genetic programming
  • Geocomputation
  • Argumentation theory
  • Smart cities

Juan Castilla-Rho Member since: Monday, April 21, 2014 Full Member Reviewer

PhD candidate, Hydrogeology, MEngSc Water Resources (UNSW), BSc(Hons) Water Engineering (Pontificia Universidad Catolica de Chile)

Robert Axtell Member since: Thursday, July 14, 2016

Ph.D.

Agent-based computing in economics and finance
Large-scale agent-based models
Agent models calibrated by micro-data
Complex adaptive systems
Mathematical analysis of agent systems

Laura Merz Member since: Wednesday, May 08, 2019 Full Member

Master student in Sustainable Development at Uppsala University

Sustainable Development
Systems Analysis
System Thinking
Agent-based Modelling
Socio-technical Systems
Rethinking Economics
Social Sciences

Ken Buetow Member since: Thursday, November 15, 2018 Full Member

PhD, Human Genetics, University of Pittsburgh, MS, Human Genetics, University of Pitttsburgh, BA, Biology, Indiana University

Ken Buetow is a human genetics and genomics researcher who leverages computational tools to understand complex traits such as cancer, liver disease, and obesity. He currently serves as director of Computational Sciences and Informatics program for Complex Adaptive Systems at Arizona State University ([email protected]), is a professor in the School of Life Sciences in ASU’s College of Liberal Arts and Sciences; is a core faculty in the Center for Evolution and Medicine in the Biodesign Institute at ASU; and is director of bioinformatics and data management for the National Biomarker Development Alliance.

Professor Buetow previously served as the Founding Director of the Center for Biomedical Informatics and Information Technology within the National Institutes of Health’s National Cancer Institute.

S Gym Member since: Wednesday, March 09, 2016

Compuer Engineer, Master in Computer Science Student

This paper investigates how collective action is affected when the interaction is driven by the underlying hierarchical structure of an organization, e.g., a company. The performance of collection action is measured as the rate of contribution to a public good, e.g., an organization’s objective.

Sylvie Geisendorf Member since: Friday, October 06, 2017

Dr., Prof.

Topics:

Behavioural aspects of environmental problems: Use of evolutionary approaches to investigate how people react to environmental policy.
Resource scarcity
Climate-economic Models: Understand how economic agents think and decide about climate change and climate protection
Sustainable Development

Methods:

Agent-Based-Modeling
Genetic algorithms
Evolutionary economics
Behavioural economics
Ecological economics
Complexity Theory

Yunhwan Kim Member since: Saturday, July 17, 2010 Full Member Reviewer

M.A. in Communications at Hankuk University of Foreign Studies(South Korea), B.A. in Political Science(Communications major) at Hankuk University of Foreign Studies(South Korea)

Chloe Atwater Member since: Monday, August 25, 2014

B.S. in Evolutionary Anthropology, UC Davis, PhD Student in Archaeology, ASU

Applying agent-based models to archaeological data, using modern ethnoarchaeological data as an analog for behavior.

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