Displaying 10 of 22 results computational social science clear

Xiaoyi Yuan Member since: Mon, Jan 30, 2017 at 09:12 PM

PhD in Computational Social Science

Engi Amin Member since: Tue, Jul 26, 2016 at 06:47 AM

MSc. in Computational Social Science, BSc. in Statistics

Meysam Alizadeh Member since: Sun, Mar 18, 2012 at 10:53 PM Full Member Reviewer

PhD in Computational Social Science

Nigel Gilbert Member since: Sun, Aug 03, 2008 at 07:44 PM Full Member Reviewer

MA, PhD, ScD

Computational social science

E Reed Member since: Mon, Jul 28, 2014 at 03:02 AM

Computational Social Science

Agent Based Models used in policy analysis

Yutaka NAKAI Member since: Sun, Nov 24, 2019 at 06:43 AM Full Member

Professor of Shibaura Institute of Technology

Computational social science
especially, evolutionary simulation of a society

Hugh McFarlane Member since: Sat, Mar 21, 2020 at 06:54 AM Full Member

Ph.D., Computational Social Science, George Mason University, M.S., Conflict Analysis and Resolution, George Mason University, B.S., Electrical Engineering, University of Maryland, B.S., Political Science, U.S. Naval Academy

Kyle Ballard Member since: Sun, Apr 17, 2016 at 06:57 PM

Computational Social Science, George Mason University, Diplomacy and World Affairs, Occidental College, Nonproliferation , Monterey Institute of International Studies

Matthew Oldham Member since: Fri, Jun 17, 2016 at 02:44 PM

Bachelor of Economics (tons), MAIS - Computational Social Science

I am a Ph.D. candidate in Computational Social Science (CSS) program at George Mason (GMU). I hold a MAIS from GMU and a Bachelor of Economics from the University of Tasmania. My research interests are the application of ABMs, network analysis, and machine learning to financial markets. My email address and website is [email protected] and

I am interested in using agent-based model to understand the behavior of financial markets

Peter Gerbrands Member since: Fri, May 08, 2020 at 08:08 PM Full Member

Peter Gerbrands is a Post-Doctoral Researcher at the of Utrecht University School of Economics, where is develops the data infrastructure for FIRMBACKBONE. He teaches data science courses: “Applied Data Analysis and Visualization” and “Introduction to R”. His research interests are agent-based simulations, social network analysis, complex systems, big data analysis, statistical learning, and computational social science. He applies his skills primarily for policy analysis, especially related to illicit financial flows, i.e. tax evasion, tax avoidance and money laundering and has published in Regulation & Governance, and EPJ Data Science. Prior to becoming an academic, Peter had a long career in IT consulting. In Fall 2023, he is a Visiting Research Scholar at SUNY Binghamton in NY.

agent-based simulations
social network analysis
complex systems
big data analysis
statistical learning
computational social science

Displaying 10 of 22 results computational social science clear

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