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Complexity and Method in the Social Sciences: An Interdisciplinary Approach

社会科学的复杂性和方法：跨学科方法

基本信息

批准号：
ES/L00092X/1
负责人：
Emma Uprichard
金额：
$ 3.83万
依托单位：
University of Warwick
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2014
资助国家：
英国
起止时间：
2014 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FL00092X%2F1
关键词：
Complexity Method Social Sciences Interdisciplinary

项目摘要

Over the past two decades, there has been a growing interesting in applying 'complexity theory' to think and learn about the real social worlds in which we all live. This is a particular kind of theory on how to see the world and study it--which has a history in Physics and Mathematics, but is also now taken up across all the sciences and increasingly the social sciences and even the arts and humanities. In a nutshell, complexity theory involves trying to detect, understand and explain particular kinds of patterns of change and continuity across dynamics systems. In social science, complexity is particularly relevant given the open dynamic nature of all social systems. Indeed, we live in a world in which never-ending, real-time data has quickly built upon itself, generating a virtual "database" on each of us, as individuals, and the political, economic, geographical, environmental, technological and cultural networks and systems in which we live, from the global all the way down to the local. Furthermore, all of these data-driven complex networks are colliding into one another, at multiple levels, shaping and being shaped by factors and actors, structures and agents--as the whole global world and its myriad of interdependent, contextualized communities evolves across time, space and place. All of this complexity has created serious methodological challenges for social scientists. For support on these methodological challenges, we can turn to the burgeoning complex systems literature. The call to look at methods and methodological concerns is reflected also in the ERSC's 2008 International Benchmarking Review of UK Sociology, which expresses concern over the methodological preparedness of social scientists. Yet, complexity sits at the intersection of various intellectual traditions, ways of knowing, theoretical traditions, and interdisciplinary concepts and methods. In terms of complexity social science, this complex intersection has created several timely and highly important questions that revolve around various UK funding council priorities (e.g., ESRC, EPSRC) regarding data and interdisciplinary research. Examples include issues of big data, integrating qualitative and quantitative methods, and studying the complexities of time, space and place.It is these key, timely questions that drive the Complexity and Methods in the Social Sciences (CaMSS) seminar series forward. CaMSS uses its three-year seminar and existing collaborations to create an established, interdisciplinary list of 18 leading scholars (including key UK social scientists in complexity, such as Prof. Paul Ormerod, Prof Sylvia Walby, and Prof. Nigel Gilbert) to address the methodological challenges that complexity presents to the social sciences.CaMSS will address the following three themes:THEME 1: What is the state-of-the-art in complexity method?A. My kingdom for a function: What is gained by quantifying social science research to study complexity?B. Time, temporality and patterns of change and continuityC. So, what does the qualitative sociologist have to say? The value of metaphor and qualitative method in complexityTHEME 2: Different approaches to complexityA. Multiple perspectives: The epistemology of complexity science methodB. Modeling complex social systems: A case-based perspectiveC. Modeling cognition and social understanding: a topological approachTHEME 3: Putting it all togetherA. Creating the complexity social scientist's methodological toolkit: Needs, desires and futuresB. I've got to teach them what? Improving how students are taught complexity social research methodsC. What next? Where is the state-of-the-art in complexity method heading?

在过去的二十年里，人们越来越有兴趣应用“复杂性理论”来思考和了解我们生活的真实社会世界。这是一种关于如何看待世界和研究世界的特殊理论，它在物理学和数学领域有着悠久的历史，但现在也被所有科学领域所采用，并且越来越多地被应用于社会科学，甚至艺术和人文学科。简而言之，复杂性理论涉及尝试检测、理解和解释动态系统中特定类型的变化和连续性模式。在社会科学中，鉴于所有社会系统的开放动态性质，复杂性尤其重要。事实上，我们生活在一个永无休止的实时数据迅速建立起来的世界，为我们每个人以及我们所生活的政治、经济、地理、环境、技术和文化网络和系统（从全球一直到本地）生成一个虚拟“数据库”。此外，所有这些数据驱动的复杂网络在多个层面上相互碰撞，塑造因素和参与者、结构和代理人，并被因素和参与者、结构和代理人塑造——随着整个全球世界及其无数相互依存、情境化的社区跨越时间、空间和地点的演变。所有这些复杂性给社会科学家带来了严峻的方法论挑战。为了支持这些方法论挑战，我们可以求助于新兴的复杂系统文献。关注方法和方法论问题的呼吁也反映在 ERSC 2008 年英国社会学国际基准审查中，该审查表达了对社会科学家方法论准备情况的担忧。然而，复杂性存在于各种知识传统、认识方式、理论传统以及跨学科概念和方法的交汇处。就复杂性社会科学而言，这种复杂的交叉点产生了几个及时且高度重要的问题，这些问题围绕着英国资助委员会有关数据和跨学科研究的优先事项（例如，ESRC、EPSRC）。例子包括大数据问题、定性和定量方法的结合，以及研究时间、空间和地点的复杂性。正是这些关键、及时的问题推动了社会科学的复杂性和方法 (CaMSS) 研讨会系列的发展。 CaMSS 利用其为期三年的研讨会和现有合作，创建了一个由 18 名顶尖学者组成的跨学科名单（包括英国复杂性领域的关键社会科学家，如 Paul Ormerod 教授、Sylvia Walby 教授和 Nigel Gilbert 教授），以解决复杂性给社会科学带来的方法论挑战。CaMSS 将讨论以下三个主题：主题 1：复杂性领域的最新技术是什么方法？A.我的函数王国：通过量化社会科学研究来研究复杂性可以获得什么？B.时间、暂时性以及变化和连续性的模式C.那么，定性社会学家要说什么呢？隐喻和定性方法在复杂性中的价值主题 2：解决复杂性的不同方法A．多重视角：复杂性科学方法的认识论B．复杂社会系统建模：基于案例的视角C.认知和社会理解建模：拓扑方法主题 3：将它们放在一起 A.创建复杂性社会科学家的方法论工具包：需求、愿望和未来B.我必须教他们什么？改善向学生教授复杂性社会研究方法的方式C.接下来怎么办？最先进的复杂性方法的发展方向在哪里？