Community

Mirsad Hadzikadic Member since: Thursday, January 12, 2012 Full Member Reviewer

PhD Computer Science, SMU, MPA, Harvard University

Complex adaptive systems, complexity, systems science, creativity, data mining, machine learning, economic and health systems, science education

Gina Graham Member since: Friday, April 03, 2015

MPH in process

complex systems science; implementation science; agent based modeling; health care infrastructure and population health; public health

Hassan Bashiri Member since: Tuesday, April 28, 2015 Full Member

PhD

As an Assistant Professor I am a scientific member at the Department of Computer Science in Hamedan University of Technology.
I have completed my Ph.D. in Futures Studies as an interdisciplinary field. My background comes from computer science.

Complex Systems, Social Modeling and Simulation
Enginnering the Futures

leonardo.rzoya Member since: Monday, May 28, 2012

BSc in Political Science, PhD Student in Sociology

My field of interests concerns two axes:
First, epistemology of computational modeling and simulation of complex systems. I am particularly interested in a sociological inquiry about social implication of knowledge derived from complex systems’ study.
Second, assessing the possibilities and limits of studying social complexity with complex systems tools, particularly, agent-based modeling and simulation.

Roope Oskari Kaaronen Member since: Monday, August 26, 2019 Full Member

I am a multidisciplinary researcher (PhD Candidate) at the University of Helsinki. My research interests include sustainable behaviour change, ecological psychology, cognitive science and cultural evolution. I have a soft spot for complex systems and philosophy of science.

GitHub: https://github.com/roopekaaronen/

Ecological Psychology
Environmental Policy
Philosophy of Science
Cognitive Science
Ecological Rationality
Science & Society
Complex Systems
Agent-Based Modeling

Russell Gonnering Member since: Tuesday, November 27, 2012

Application of complexity science and organizational culture to healthcare performance

clif531 Member since: Saturday, April 21, 2012

Master of Science in Information & Telecommunication Systems, Doctor of Philosophy in Systems Engineering

System of Systems and Complex Systems

troukny Member since: Saturday, February 18, 2012

Civil Engineer in Computer Science

Using the Complex System science paradigm to open new ways of assessing the Systemic Risk in Financial Systems

Furkan Gürsoy Member since: Thursday, August 02, 2018 Full Member

Ph.D., Management Information Systems, Boğaziçi University, M.Sc., Data Science, Istanbul Şehir University, B.Sc., Management Information Systems, Boğaziçi University

Furkan Gürsoy received the BS in Management Information Systems from Boğaziçi University, Turkey, and the MS in Data Science from İstanbul Şehir University, Turkey. He is currently a PhD Candidate at Boğaziçi University. He previously worked as an IS/IT Consultant and a Machine Learning Engineer with the industry for several years. He held a Visiting Researcher Position with IMT Atlantique, France, in 2020. His research interests include complex networks, machine learning, simulation, and broad data science.

network science, machine learning, simulation, data science.

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.

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