Community

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)

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

Christopher Thron Member since: Saturday, November 07, 2015

Ph.D. in physics, University of Kentucky, Ph.D. in mathematics, University of Wisconsin

Mathematical modeling and simulation in social sciences, biology, physics, and signal processing.

Jagoda Anna Kaszowska Member since: Tuesday, March 05, 2019 Full Member

Ph.D., Finance

Postdoctoral researcher at Institute of Economics, Polish Academy of Sciences and in Macroprudential Research Division at National Bank of Poland. She graduated in Mathematics (Jagiellonian University, Poland) and in Economics (University of Alcala, Spain). In 2017 she obtained Fulbright Advanced Research Award. In the United States, she carried out research on systemic risk and complex systems. Her doctoral dissertation was about the measurement and modeling of systemic risk using simulation methods and complex systems approach (the results to be published by Palgrave Macmillan US). Previously, she gained experience on agent-based modeling while working with Juan Luis Santos on the European Commission FP 7 MOSIPS project (http://www.mosips.eu/).

Mathematics, complex systems, financial modeling, agent-based modeling, econometrics, macroprudential policies, systemic risk, cental banking

Garry Sotnik Member since: Friday, April 06, 2018 Full Member Reviewer

I have a background in social science and training in modeling coupled human and natural systems, and apply both to advance our understanding of how interactions among cognitive, behavioral, social, and demographic processes influence human adaptation to climate change.

agent-based modeling, cognition

Bernardo Furtado Member since: Monday, January 27, 2014 Full Member

PhD Geosciences/Economics, MsC Geography, BA Architecture

Tenured researcher @ government think-tank (IPEA) and CNPq (productivity grant - since 2014), complex modeler interested, data fan, transitional Python user, PhD. Background in urban analysis, economics, geography. From twitter.com/furtadobb

Agent-based modeling, urban policy, urban economics. Metropolis and municipalities analyses.

Kenneth Aiello Member since: Thursday, January 23, 2020 Full Member

Ph.D., Biology and Society, Arizona State University, B.S., Sociology, Arizona State University,, B.S., Biology, Arizona State University

Kenneth D. Aiello is a postdoctoral research scholar with the Global BioSocial Complexity Initiative at ASU. Kenneth’s research contributes to cross disciplinary conversations on how historical developments in biological, social, and cultural knowledge systems are governed by processes that transform the structure, dynamics, and function of complex systems. Applying computational historical analysis and epistemology to question what scientific knowledge is and how we can analyze changes in knowledge, he uses text analysis, social network analysis, and machine learning to measure similarities and differences between the knowledge claims of individual agents and groups. His work builds on how to assess contested knowledge claims and measure the evolution of knowledge across complex systems and multiple dimensions of scale. This approach also engages in dynamic new debates about global and local structures of knowledge shaped by technological innovation within microbiology related to public policy, shrinking resources given to biomedical ideas as opposed to “translation”, and the ethics of scientific discovery. Using interdisciplinary methods for understanding historical content and context rich narratives contributes to understanding new domains and major transitions in science and provides a richer understanding of how knowledge emerges.

Morteza Mahmoudzadeh Member since: Sunday, May 10, 2015 Full Member Reviewer

Dr.

Dr. Morteza Mahmoudzadeh is an assitant professor at the University of Azad at Tabriz in the Department of Managent and the director of the Policy Modeling Research Lab. Dr. Mahmoudzadeh did a degree in Software Engineering and a PhD in System Sciences. Dr. Mahmoudzadeh currently works on different regional and national wide projects about modeling sustaiblity and resilience of industrial ecosystems, innovation networks and socio-environmental systems. He also works on hybrid models of opinion dynamics and agent based models specifically in the field of modeling customers behavior and developing managerial tools for strategic marketing policy testing. His team at Policy Modeling Research Lab. currently work on developing a web based tool with python for systems modeling using system dynamics, Messa framework for agent-based modeling and Social Networks Analysis.

Modeling Complex systems, Simulation: System Dynamics, Agent Based and Discrete Event
System and Complexity Theory

Mazaher Kianpour Member since: Thursday, October 25, 2018 Full Member

B.Sc., Computer Engineering, Payame Noor University, M.Sc., Computer Engineering, Shahid Beheshti University, Ph.D., Information Security, Norwegian University of Science and Technology

Mazaher Kianpour is a PhD candidate at NTNU. He holds a Bachelor’s degree in Computer Engineering (Software) from the Payame Noor University. He obtained his Master’s degree in Architecture of Computer Systems from Shahid Beheshti University, Tehran, Iran. He started his PhD in Information Security at NTNU in May 2018. His PhD research lies at the intersection of economics and information security with a socio-technical perspective. He has several years of work experience at Tehran University of Medical Sciences, and his professional training includes Computer Networks, Cybersecurity and Risk Management.

My main research interest is modelling of information security, business operations and deterrents in complex ICT ecosystem. I will in particular focus on the complex interaction between various stakeholders and actors in the information security business domain. In order to model and better understand the information security ecosystem, I rely on agent-based simulation and quantitative modelling techniques such as stochastic modelling, discrete event simulations and game theory. Of particular interest is to gain increased understanding on how various security threats and measures influence business operations in the digital ecosystem.

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