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The creative industry of integrative systems biology

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Abstract

Integrative systems biology (ISB) is among the most innovative fields of contemporary science, bringing together scientists from a range of diverse backgrounds and disciplines to tackle biological complexity through computational and mathematical modeling. The result is a plethora of problem-solving techniques, theoretical perspectives, lab-structures and organizations, and identity labels that have made it difficult for commentators to pin down precisely what systems biology is, philosophically or sociologically. In this paper, through the ethnographic investigation of two ISB laboratories, we explore the particular structural features of ISB thinking and organization and its relations to other disciplines that necessitate cognitive innovation at all levels from lab PI’s to individual researchers. We find that systems biologists face numerous constraints that make the production of models far from straight-forward, while at the same time they inhabit largely unstructured task environments in comparison to other fields. We refer to these environments as adaptive problem spaces. These environments they handle by relying substantially on the flexibility and affordances of model-based reasoning to integrate these various constraints and find novel adaptive solutions. Ultimately what is driving this innovation is a determination to construct new cognitive niches in the form of functional model building frameworks that integrate systems biology within the biological sciences. The result is an industry of diverse and different innovative practices and solutions to the problem of modeling complex, large-scale biological systems.

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Notes

  1. Our interdisciplinary research group comprises Ph.D. level researchers with expertise in ethnography, qualitative methods, linguistics, psychology, philosophy and history of science, cognitive science, and learning sciences. Student researchers (graduate and undergraduate) have come from programs in cognitive science, intelligent systems, human-centered computing, and public policy. All members of the team received apprenticeship training in ethnography, qualitative methods, and cognitive-historical analysis.

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Acknowledgments

We appreciate the support of the US National Science Foundation in conducting this research (DRL097394084). We thank the directors and members of the research labs in our investigation for welcoming us into their labs and granting us numerous interviews. We thank the members of our research group for contributing valuable insights, especially Lisa Osbeck, Sanjay Chandrasekharan, and Wendy Newstetter. We appreciate the comments of three anonymous reviewers and the editors of this special issue for their helpful comments.

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Correspondence to Nancy J. Nersessian.

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In the paper we are deliberately playing off of two senses of ‘industry’ one being a manufacturing activity, the other, systematic work towards a purpose.

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MacLeod, M., Nersessian, N.J. The creative industry of integrative systems biology. Mind Soc 12, 35–48 (2013). https://doi.org/10.1007/s11299-013-0119-3

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  • DOI: https://doi.org/10.1007/s11299-013-0119-3

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