Complexity at the social science interface

This article introduces a special issue of Complexity dedicated to the increasingly important element of complexity science that engages with social policy. We introduce and frame an emerging research agenda that seeks to enhance social policy by working at the interface between the social sciences and the physical sciences including mathematics and computer science, and term this research area the "social science interface" by analogy with research at the life sciences interface. We locate and exemplify the contribution of complexity science at this new interface before summarizing the contributions collected in this special issue and identifying some common themes that run through them. © 2014 Wiley Periodicals, Inc. Complexity 19: 1-4, 2014

[1]  Seth Bullock,et al.  Levins and the lure of artificial worlds. , 2014 .

[2]  Roland Kupers,et al.  What organizational leaders should know about the new science of complexity , 2000 .

[3]  Seth Bullock,et al.  Charles Babbage and the emergence of automated reason , 2008 .

[4]  P. Husbands,et al.  The Mechanical Mind in History , 2008 .

[5]  Phil Husbands,et al.  Charles Babbage and the Emergence of Automated Reason , 2008 .

[6]  William F. Gale,et al.  Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real-world data , 2014, Complex..

[7]  Andrew Philippides,et al.  Dynamic, small-world social network generation through local agent interactions , 2014, Complex..

[8]  Liz Varga,et al.  Characterizing conversion points and complex infrastructure systems: Creating a system representation for agent-based modeling , 2014, Complex..

[9]  Richard Taylor,et al.  Modeling social-ecological problems in coastal ecosystems: A case study , 2014, Complex..

[10]  Özge Dilaver Kalkan,et al.  Entrepreneurship and the emergence of industrial clusters , 2014, Complex..

[11]  Claudio Cioffi-Revilla,et al.  Seeing it coming: A complexity approach to disasters and humanitarian crises , 2014, Complex..

[12]  D. Cliff,et al.  Complexity and emergent behaviour in ICT systems , 2004 .

[13]  Thomas C. Schelling,et al.  Dynamic models of segregation , 1971 .

[14]  Peter S. Albin,et al.  The Co-evolution of cooperation and complexity in a multi-player, local-interaction prisoners' dilemma , 2001, Complex..

[15]  Flaminio Squazzoni,et al.  A social science-inspired complexity policy: Beyond the mantra of incentivization , 2014, Complex..

[16]  Ben Ramalingam,et al.  Aid on the Edge of Chaos: Rethinking International Cooperation in a Complex World , 2013 .

[17]  D. Foley,et al.  The economy needs agent-based modelling , 2009, Nature.

[18]  Bruce Edmonds,et al.  Modelling Complexity for Policy: Opportunities and Challenges , 2013, ArXiv.

[19]  O. Wolkenhauer.  Why model? , 2013, Front. Physiol..

[20]  Frank Schiller,et al.  Sketching a network portrait of the humber region , 2014, Complex..