Community

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.

Uzair Ahmad Member since: Thursday, February 26, 2015

PhD, MIT

Complex Adaptive Systems, Data Analytics and Visualization

Diogo Alves Member since: Wednesday, September 16, 2020 Full Member

Metaheuristics In Social and Industrial Problems.
Bio-inspired Optimization.
Agent-Based Modeling.
Chaos Theory.
Natural Language Processing.

Thomas Clemen Member since: Tuesday, September 17, 2019 Full Member

Diploma in Computer Science, Technical University of Dortmund, Germany, Dr. rer. nat. in Computer Science, Christian-Albrechts University, Kiel, Germany

social-ecological modelling; cognitive modelling; agent-based modeling&simulation; data science; smart city modelling; artificial intelligence; large-scale simulation

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.

Down Networks Member since: Monday, October 26, 2015

Down Networks is a real time, progressively agile non profit startup whose goals are to fund its research via pragmatically aggressive altruistic entrepreneurial pursuits informed by proprietary in-house techniques, open source technology and refined scientific methodology.

Claudine Gravel-Miguel Member since: Thursday, November 01, 2012 Full Member Reviewer

M.A., Anthropology, University of Victoria, Ph.D., Anthropology, Arizona State University

Dr. Gravel-Miguel currently works as a Postdoctoral Research Scholar for the Institute of Human Origins at Arizona State University. She does research in Archaeology and focuses on the Upper Paleolithic of Southwest Europe. She currently works on projects ranging from cultural transmission to human-environment interactions in prehistory.

Archaeology, GIS, ABM, social networks, portable art, ornaments, data science

Christopher Parrett Member since: Sunday, October 20, 2019 Full Member

I am a lowly civil servant moonlighting as a PhD student interested in urban informatics, Smart Cities, artificial intelligence/machine learning, all-things geospatial and temporal, advanced technologies, agent-based modeling, and social complexity… and enthusiastically trying to find a combination thereof to form a disseration. Oh… and I would like to win the lottery.

  • Applied data science (machine/deep learning applications) and computational modeling (agent-based
    modeling) in U.S. Government
  • Geographic Information Systems and analysis of dense urban environments and complex terrain
  • Complexity theory and computational organizational design of distributed enterprise teams.
  • Human Capital Management and Talent Management policy development

Rifqi Jalu Pramudita Member since: Tuesday, April 20, 2021 Full Member

Bachelor, Operational Management, Indonesia University of Education, Master, Logistics and Supply Chain Management, Institut Teknologi Sepuluh Nopember

He is an experienced Lecturer with a demonstrated history of working in the education management industry. He was skilled in Agent-based Modeling and Simulation, Competency Assessing and Fundamental Supply Chain Management. Strong research background and analyst with a Master’s degree focused in Logistics and Supply Chain Management from Institut Teknologi Sepuluh Nopember Surabaya and Certified Supply Chain Analyst from ISCEA International.

My research focused on pricing strategy and its impact on Supply Chain (SC) using the Agent-Based Modeling and Simulation (ABMS) approach. Currently, I’m working on an ABMS model to analyze the impact of SC Coordination on SC performance when intelligent retailers may offer price discounts based on the market’s states using Q-learning algorithm.

Allen Lee Member since: Thursday, May 10, 2007 Full Member Reviewer

MSc Computer Science and Informatics, Indiana University - Bloomington, BSc Computer Science, Indiana University - Bloomington

I am a full stack software engineer who has been building cyberinfrastructure for computational social science at Arizona State University since 2006; projects include the Digital Archaeological Record, the Virtual Commons, the Social Ecological Systems Library, Synthesizing Knowledge of Past Environments (SKOPE), the Port of Mars, and CoMSES Net, where I serve as co-director and technical lead.

I also work to improve the state of open, transparent, reusable, and reproducible computational science as a Carpentries certified instructor and maintainer for the Python Novice Gapminder lesson, and member of the Force 11 Software Citation Implementation Working Group and Consortium of Scientific Software Registries and Repositories.

My research interests include collective action, social ecological systems, large-scale software systems engineering, model componentization and coupling, and finding effective ways to promote and facilitate good software engineering practices for reusable, reproducible, and interoperable scientific computation.

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept