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Ignoring Complexity: Epistemic Wagers and Knowledge Practices among Synthetic Biologists

机译：忽略复杂性：合成生物学家之间的认知博弈和知识实践

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摘要

This paper links two domains of recent interest in science and technology studies, complexity and ignorance, in the context of knowledge practices observed among synthetic biologists. Synthetic biologists are recruiting concepts and methods from computer science and electrical engineering in order to design and construct novel organisms in the lab. Their field has taken shape amidst revised assessments of life's complexity in the aftermath of the Human Genome Project. While this complexity is commonly taken to be an immanent property of biological systems, this article presents an epistemological view of complexity according to which complexity relates to a specific scientific theory or model and refers to that which exceeds the theory or model's explanatory power. This epistemological view allows us to narrate a particular story about the changing relationship between biology and synthetic biology in the last decade and accounts for early knowledge practices in synthetic biology that "ignored" biology. This article further argues that while the failure of ignorance to produce clear-cut results for synthetic biologists has led practitioners back to biology, the entanglements between different pragmatic orientations and ways of knowing trouble the implications of this return for assessments of the complexity of biological systems.
机译：本文在合成生物学家观察到的知识实践的背景下，将科学和技术研究的两个最新领域联系在一起：复杂性和无知。合成生物学家正在从计算机科学和电气工程学中招募概念和方法，以便在实验室中设计和构建新型生物。在人类基因组计划的后续工作中，对生命的复杂性进行了修订评估，从而形成了他们的领域。虽然这种复杂性通常被认为是生物系统的内在属性，但本文提出了一种复杂性的认识论观点，根据这种观点，复杂性与特定的科学理论或模型有关，是指超出了该理论或模型的解释能力的事物。这种认识论观点使我们能够叙述一个有关过去十年生物学与合成生物学之间关系变化的特殊故事，并解释了合成生物学中“无视”生物学的早期知识实践。本文进一步认为，尽管无知未能为合成生物学家提供清晰的结果，使从业者回到了生物学领域，但不同的务实方向和认识方法之间的纠缠使这种回归对评估生物系统的复杂性产生了影响。 。

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