Events

Amanda Raffoul: Are we (unintentionally) doing more harm than good? Systems Approaches to the Prevention of Eating-and-Weight-Related Disorders

Kevin Church: The Hidden Geometry of Complex Dynamics and How to Exploit It

Katharine Zywert:  Social-Ecological Systems Change and the Future of Human Health

WICI Complex Systems Student Project Symposium for Graduate and Undergraduate students

WICI Open House - Sept. 20, 2017 - DC 1301

Understanding covert and criminal behaviour from a social network perspective is gathering increasing currency. While the standard social network paradigm assumes that network data has been collected though eliciting ties from respondents in a predefined set of individuals, covert networks pose obviously challenges in several respects. Firstly, the individuals in the network might not be known a prior. Secondly, what constitutes a relevant set of individuals and ties might be ambiguous.

View slides from Yacov Haimes' Presentation: "Understanding, Modeling, and Managaing Interdependent Complex Systems of Systems". 

A joint seminar sponsored by Waterloo Institute for Complexity & Innovation [WICI] and the Department of Systems Design Engineering.

Join us for the WICI Poetry & Complexity event on Tuesday, March 27, 2018.

Time:   4:00 - 6:00 p.m.

Venue:  University of Waterloo,  Davis Centre.  Room 1301.  

WICI workshop: Leveraging systems approaches to improve human & planetary health

Managing air pollution, toxic substances, and climate change is a complex, linked sustainability challenge. To better inform efforts to address these issues, we need to understand how policies to address emissions translate into societal benefits. In this talk, Dr. Selin will present work from her research group, using a systems approach to better understand air pollutants such as particulate matter, ozone, and mercury.

Dr. Robert L. Axtell, Professor of Computational Social Science at George Mason University, illustrates how a ‘complexity economics’ approach using large-scale agent-based computing methodology offers novel insights unavailable from conventional rational expectations equilibrium models.