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Fill in the Gap: A New Alliance for Social and Natural Sciences

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In the last few years, electronic media brought a revolution in the traceability of social phenomena. As particles in a bubble chamber, social trajectories leave digital trails that can be analyzed to gain a deeper understanding of collective life. To make sense of these traces a renewed collaboration between social and natural scientists is needed. In this paper, we claim that current research strategies based on micro-macro models are unfit to unfold the complexity of collective existence and that the priority should instead be the development of new formal tools to exploit the richness of digital data.

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  • Tommaso Venturini & Pablo Jensen & Bruno Latour, 2015. "Fill in the Gap: A New Alliance for Social and Natural Sciences," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-11.
    • Handle: RePEc:jas:jasssj:2014-94-2
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    1. Elinor Ostrom, 2010. "Beyond Markets and States: Polycentric Governance of Complex Economic Systems," American Economic Review, American Economic Association, vol. 100(3), pages 641-672, June.
    2. Jean-Philippe Bouchaud, 2012. "Crises and collective socio-economic phenomena: simple models and challenges," Papers 1209.0453, arXiv.org, revised Dec 2012.
    3. Flaminio Squazzoni & Niccolò Casnici, 2013. "Is Social Simulation a Social Science Outstation? A Bibliometric Analysis of the Impact of JASSS," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-10.
    4. Pawel Sobkowicz, 2009. "Modelling Opinion Formation with Physics Tools: Call for Closer Link with Reality," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-11.
    5. Stefania Bandini & Sara Manzoni & Giuseppe Vizzari, 2009. "Agent Based Modeling and Simulation: An Informatics Perspective," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-4.
    6. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    7. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
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    2. Biscotti, Anna Maria & D'Amico, Eugenio, 2016. "What are political leaders' environmental intentions? The impact of social identification processes and macro-economic conditions," Ecological Economics, Elsevier, vol. 129(C), pages 152-160.

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