Co-hosted by the Dialog Group
Influence plays a central role in marketing, politics, and management. In these contexts, the exertion of influence almost always involves adaptive heterogeneous agents interacting through networks. How does network structure impact the dissemination of influence, ideas, and illness through such networks? How can data be used to identify meaningful network structures? Can big data be combined with information theory to predict, or "nowcast," the evolution of these network structures? How can firms measure and mitigate the complexity of the systems through which they exert influence?
This SFI ACtioN Topical Meeting, co-hosted with the Dialog Group, will explore ways in which insights from network theory and other areas of complex systems science can inform our understanding of influence. Presenters will include complexity scholars as well as practitioners who use complex systems to address these issues. The meeting will employ a 50-50 format: equal time will be given to presentations and moderated discussions with the meeting's participants.
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"Play, Surprise, and Argument" Simon De Deo
Play, Surprise, and Argument
Simon De Deo, Carnegie Mellon University, Santa Fe Institute
"Tracking and Curbing the Next Pandemic" Lauren Ancel Meyers
Tracking and Curbing the Next Pandemic
Lauren Ancel Meyers, University of Texas at Austin, SFI
"Interface Dilemma, The Increasing Complexity in Software" Toby Shannan
“Interface Dilemma, The Increasing Complexity in Software. Why & Where Customer Support Occurs and How to Predict its Volume”
Toby Shannan, Vice President of Support at Shopify
Panel Discussion: Ross Buhrdorf, Bryon Jacob, Joshua Bear, Jeff DeCoux, William Klehm
SFI at Austin