From indicators to indicating interdisciplinarity: A participatory mapping methodology for research communities in-the-making
From indicators to indicating interdisciplinarity: A participatory mapping methodology for research communities in-the-making
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从指标到表明跨学科性：正在形成的研究界的参与性绘图方法
DOI：
10.1162/qss_a_00062
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发表时间：
2020
影响因子：
6.4
通讯作者：
S. Rijcke
中科院分区：
文献类型：
--
作者：
N. Marres;S. Rijcke
本文讨论了一个正在开发的项目，名为“发明跨学科指标”，作为将社会和文化研究中的定量方法与解释方法相结合的方法开发工作的一个例子。我们项目的关键是这样的想法：科学技术指标不仅具有代表性价值，能够对研究和创新领域进行实证洞察，而且同时具有组织能力，因为它们的部署能够促进解释社区的策划。我们首先讨论科学技术研究（STS）和科学计量学中跨学科性分析的概念和方法，强调这两个领域都认识到跨学科性是有争议的。为了使跨学科性作为一种有争议的和变革性的现象的建设性探索成为可能，我们勾勒出一个用于开发和部署“参与指标”的方法框架。我们将这种指示方法描述为参与式、溯因式、交互性和设计告知性，并强调该方法本质上是组合性的，因为它汇集了科学计量学、STS 和人文研究的方法。在最后一部分中，我们测试了我们的方法在人工智能跨学科性试点研究中的潜力，并对数字地图作为表明跨学科性的途径进行了反思。
This article discusses a project under development called “Inventing Indicators of Interdisciplinarity,” as an example of work in methodology development that combines quantitative methods with interpretative approaches in social and cultural research. Key to our project is the idea that Science and Technology Indicators not only have representative value, enabling empirical insight into fields of research and innovation but simultaneously have organizing capacity, as their deployment enables the curation of communities of interpretation. We begin with a discussion of concepts and methods for the analysis of interdisciplinarity in Science and Technology Studies (STS) and scientometrics, stressing that both fields recognize that interdisciplinarity is contested. To make possible a constructive exploration of interdisciplinarity as a contested—and transformative—phenomenon, we sketch out a methodological framework for the development and deployment of “engaging indicators.” We characterize this methodology of indicating as participatory, abductive, interactive, and informed by design, and emphasize that the method is inherently combinatory, as it brings together approaches from scientometrics, STS, and humanities research. In a final section, we test the potential of our approach in a pilot study of interdisciplinarity in AI, and offer reflections on digital mapping as a pathway towards indicating interdisciplinarity.
DOI：
10.1111/1467-954x.12314
发表时间：
2016-02
期刊：
The Sociological Review
影响因子：
--
作者：
N. Marres;C. Gerlitz
通讯作者：
N. Marres;C. Gerlitz
社交媒体和自我评估组合：关于数字、顺序和价值观
DOI：
10.1080/1600910x.2014.920267
发表时间：
2014
期刊：
Journal of Social Theory
影响因子：
--
作者：
Gerlitz C
通讯作者：
Gerlitz C