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*[[Influence,_Complexity_and_Networks|Home]]
*[[Influence,_Complexity_and_Networks|Home]]
*[[Influence,_Complexity_and_Networks_-_Agenda|Agenda]]
*[[Influence,_Complexity_and_Networks_-_Agenda|Agenda]]
*[[Influence,_Complexity_and_Networks_-_Participants|Participants]]
*[[Influence,_Complexity_and_Networks_-_Speakers|Speakers]]
*[[Influence,_Complexity_and_Networks_-_Registration|Registration]]
*[[Influence,_Complexity_and_Networks_-_Registration|Registration]]
*[[Influence,_Complexity_and_Networks_-_Travel Information|Travel Information]]
*[[Influence,_Complexity_and_Networks_-_Travel Information|Travel Information]]
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Co-hosted by Dialog Group
Co-hosted by [http://dialoggroup.com/ Dialog Group]


Held at The Long Center, 701 W. Riverside Drive, Austin, TX 78704
Held at the Long Center, 701 W. Riverside Drive, Austin, TX 78704


Thursday, February 23, 2017
Thursday, February 23, 2017
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'''Summary:''' Influence plays a central role in marketing, politics, and management. The exertion of such 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 the structure of these networks? 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, cohosted with the Dialog Group, will explore ways in which insights from network theory and other areas of complex systems science can inform our understanding influence. Presenters will include both complexity scholars as well as practitioners who use complex systems to address these issues. The meeting will employ a 50%/50% format, through which equal time will be given to presentations and moderated discussions with the meeting's participants.
'''Influence, Complexity & Networks: New Views For Business, Politics, Innovation and Growth'''
 
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. 

Latest revision as of 19:01, 27 January 2017

ACtioN Navigation


Co-hosted by Dialog Group

Held at the Long Center, 701 W. Riverside Drive, Austin, TX 78704

Thursday, February 23, 2017



Influence, Complexity & Networks: New Views For Business, Politics, Innovation and Growth

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.