Displaying 10 of 49 results for "Rick L Riolo" clear search

Erick Mas Member since: Tue, Apr 26, 2022 at 12:36 PM Full Member

Nick Gotts Member since: Sun, Oct 28, 2012 at 07:38 PM Full Member

BA in Developmental Psychology, DPhil in Cognitive and Computer Sciences

v.mojtahed Member since: Tue, Jul 17, 2012 at 08:23 AM

PhD, Economics

Agent based modeling, Environmental economics, Risk analysis

Paula Marcela Pérez-Briceño Member since: Tue, Mar 11, 2025 at 08:19 PM Full Member

Master

Emma Norling Member since: Tue, Dec 03, 2013 at 11:57 AM

PhD (Computer Science) The University of Melbourne (2009)

Agent-based models of human behaviour, from cognitive modelling through to cognitively-rich social simulation.

troukny Member since: Sat, Feb 18, 2012 at 10:02 AM

Civil Engineer in Computer Science

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

emaille Member since: Fri, Feb 03, 2012 at 12:49 PM

Ph D.

Land cover changes spatial agents based modelling
Forest fire risk modelling
Geographical information based modelling
Decision support for land planning

Jorge Chan-Lau Member since: Fri, Sep 12, 2014 at 02:21 AM

Ph.D., Columbia University, Graduate School of Business, M.Phil., Columbia University, Graduate School of Business, B.S., Pontificia Universidad Catolica del Peru

ABM of financial markets, focused on systemic risk.

Arpan Jani Member since: Mon, Sep 30, 2019 at 08:13 PM

Arpan Jani received his PhD in Business Administration from the University of Minnesota in 2005. He is currently an Associate Professor in the Department of Computer Science and Information Systems at the University of Wisconsin – River Falls. His current research interests include agent-based modeling, information systems and decision support, behavioral ethics, and judgment & decision making under conditions of risk and uncertainty.

agent-based modeling; behavioral ethics; information systems and decision support; project management; judgment & decision making under conditions of risk and uncertainty.