Renn Jurgen

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Renn
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Jurgen
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  • Article
    Extended evolution : a conceptual framework for integrating regulatory networks and niche construction
    (John Wiley & Sons, 2015-06-11) Laubichler, Manfred D. ; Renn, Jurgen
    This paper introduces a conceptual framework for the evolution of complex systems based on the integration of regulatory network and niche construction theories. It is designed to apply equally to cases of biological, social and cultural evolution. Within the conceptual framework we focus especially on the transformation of complex networks through the linked processes of externalization and internalization of causal factors between regulatory networks and their corresponding niches and argue that these are an important part of evolutionary explanations. This conceptual framework extends previous evolutionary models and focuses on several challenges, such as the path-dependent nature of evolutionary change, the dynamics of evolutionary innovation and the expansion of inheritance systems.
  • Article
    Computational history of knowledge: Challenges and opportunities
    (University of Chicago Press, 2019-09) Laubichler, Manfred D. ; Maienschein, Jane ; Renn, Jurgen
    So far, the twenty-first century has been defined by an ever-increasing availability of digital data and substantial advances in computational methods. Taken together, these developments have already affected all aspects of our lives, including the ways research in the sciences and the humanities is conducted. This computational turn is often viewed with unease. But as this essay argues, it also offers exciting new perspectives for the history of knowledge. Rather than fighting these trends, the essay suggests, by embracing new possibilities and actively participating in the development of new computational methodologies the history of knowledge can act as a bridge between the world of the humanities, with its tradition of close reading and detailed understanding of individual cases, and the world of big data and computational analysis. We can gain novel perspectives on the evolution of knowledge that are both detailed and broad.