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University bioscientists' risk epistemologies and research problem choices.

机译:大学生物科学家的风险认识论和研究问题的选择。

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摘要

Scientific discoveries take place within scientific communities that are established in legitimating organizations such as universities and research institutes. Often times, scientists undergo tensions and paradoxes as they evaluate the risks they are willing to accept in their work. The types of risk/benefit decisions scientists make to determine which research projects to engage in and how they engage in them is more important than ever, due to current restrictions on funding for scientific research. The main objective of this dissertation is to analyze the ways in which university bioscientists define, evaluate, and manage risks in science, i.e. their risk epistemologies. In the process, I examine bioscientists' risk perceptions and demographic and contextual factors that influence those perceptions. Additionally, I investigate the associations between risk perceptions and research problem choices.;This dissertation followed a mix-methods approach. The data collection included twenty semi-structured in-depth interviews and a large-scale online survey of university bioscientists. Based on three theoretically driven research questions that surfaced through examining current literature, I organized the dissertation into three different essays. The first essay explores risk epistemologies of university bioscientists as they determine the best trajectories for their scientific careers. This essay analyses data gathered by conducting in-depth interviews meant to elicit university bioscientists' different understandings of the notion of risk. The second essay quantifies bioscientists' risk perceptions using data gathered from the online survey. In this essay, I investigate the influence of life-course, gender, sources of funding, research orientation, network interactions, and perceived significance of research on risk perception. In the third essay I use data gathered from the online survey to investigate the associations between university bioscientists' risk perceptions and their research problem choices.;The results suggest that risk is a useful paradigm to study decision-making in science. In making scientific risk decisions, at times scientists conform to the existing institutional structures. Other times they challenge them, persist through them, or compromise their actions. Bioscientists' risk epistemologies matter to the extent that these allow for more creative ways in which individual scientists can navigate the institutional environments that they are embedded in. Risk perceptions of university bioscientists differ based on the specific dimension of risk under investigation. Several significant relationships between perceived risks and problem choice orientations have emerged through the data analysis. Overall, university bioscientists' risk epistemologies seem to be related to the unique reward structure of science, compelling them to use various risk management techniques while navigating their research environments.
机译:科学发现发生在由合法组织(例如大学和研究机构)建立的科学社区内。通常,科学家们在评估自己愿意承担的工作风险时会遭受紧张和悖论。由于当前对科学研究经费的限制,科学家们决定要从事哪些研究项目以及如何参与其中的风险/收益决策的类型比以往任何时候都更加重要。本论文的主要目的是分析大学生物科学家定义,评估和管理科学风险的方式,即他们的风险认识论。在此过程中,我研究了生物科学家的风险感知以及影响这些感知的人口统计和背景因素。此外,我还研究了风险认知与研究问题选择之间的联系。数据收集包括二十次半结构化的深度访谈和对大学生物科学家的大规模在线调查。基于通过研究当前文献而出现的三个理论驱动的研究问题,我将论文分为三篇不同的论文。第一篇文章探讨了大学生物科学家的风险认识论,因为他们确定了其科学职业的最佳发展轨迹。本文通过进行深入的访谈来分析收集的数据,以引起大学生物科学家对风险概念的不同理解。第二篇论文使用从在线调查中收集的数据量化了生物科学家的风险感知。在本文中,我研究了生命历程,性别,资金来源,研究方向,网络互动以及对风险感知的研究意义的影响。在第三篇文章中,我使用从在线调查中收集的数据来调查大学生物科学家的风险观念与他们的研究问题选择之间的联系。结果表明,风险是研究科学决策的有用范例。在做出科学风险决策时,科学家有时会符合现有的机构结构。他们有时会挑战他们,坚持不懈或破坏他们的行动。生物科学家的风险认识论之所以重要,是因为它们为个体科学家提供了更多创新的方式,使他们可以在其所处的制度环境中进行导航。大学生物科学家的风险认识因所调查风险的特定维度而异。通过数据分析,已发现风险与问题选择取向之间的几种重要关系。总体而言,大学生物科学家的风险认识论似乎与科学的独特奖励结构有关,迫使他们在浏览研究环境的同时使用各种风险管理技术。

著录项

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Philosophy of Science.;Education Sciences.;Sociology General.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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