The Personal Data Economy, the Corporatist State Model, and a Global Framework for an Emergent Classification of Social, Political, and Economic Power

个人数据经济、社团主义国家模型以及社会、政治和经济权力新兴分类的全球框架

• 批准号: 2096931
• 金额: --
• 依托单位: University of Bath
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2096931
• 关键词: Personal; Data; Economy; Corporatist; State

In the exponential advancement of information and communication technology, it is observable that a multitude of associated political and economic transformations have characterised the twenty-first century. Principally, the abundance of personal data has become an ever more essential component for societal improvement and civic management in the modern world. Secondly, governments and transnational corporations have understood the relevance of digital information and are involved in negotiations that will determine the dimensions of international commerce in personal data. The personal data economy is typically defined as the network of individual consumers, private companies, and governmental institutions that facilitate the commercial exchange of personal information. It is arguable that personal data has become the central component in an emergent network of political and economic architectures. For example, a number of transnational corporations have used their unprecedented access to personal information to dominate new sectors of the global economy. Furthermore, the personal data economy has necessitated the creation of innovative policy programmes in an endeavour to effectively govern the commercial exchange of personal information. Evidently, the availability of personal information has become an important component of the global economy. My research will critically examine and evaluate the personal data economy as a global framework for an emergent classification of power that is dependent on the perpetual extraction of personal information. Furthermore, the research will investigate how the global political and economic establishment and the associated neoliberal ideology have influenced the development the personal data economy and the global transformations that can be attributed to the national and international commerce in personal information. The research will contribute to an understanding of the personal data economy as a global framework for contemporary power relations and the associated social, political, and economic implications for a world that is increasingly dependent on digital technology. Furthermore, the research will contribute to the production of interdisciplinary knowledge for the development of innovative policy programmes for the effective regulation of the commercial exchange of personal information.Research Questions:Does the personal data economy function as a global framework for the advancement of an emergent classification of power? How does the dependency on the extraction and examination of personal information contribute to a distinctive classification of power?Is it permissible to consider the personal data economy as an extension of the political and economic establishment? Do the principles of neoliberal market capitalism determine the parameters of the personal data economy?What is the foremost method to establish an innovative policy programme to effectively govern the personal data economy? What are the central components of a policy programme that is involved in the governance of the personal data economy?Research MethodologyThe thesis will use a multimethod framework to facilitate the integration of investigative research procedures, supported by an extensive review of the established literature and empirical data collected from multiple sources. The project will be inherently interdisciplinary, with the implementation of methods from the social sciences, computer science, and applied mathematics. To expand the potential of research, I will implement the Scikit-Learn software package of Python programming to build a machine learning model. It will use supervised learning for numerical encoding unprocessed information and unsupervised learning to identify patterns in large quantities of empirical data. I will use pipelines and visualisation features to build a model that can efficiently handle unprocessed data and accurately demonstrate findings with graphics.

在信息和通信技术呈指数级发展的过程中，可以观察到大量相关的政治和经济转型已成为二十一世纪的特征。主要而言，丰富的个人数据已成为现代世界社会进步和公民管理的一个越来越重要的组成部分。其次，各国政府和跨国公司已经了解数字信息的相关性，并参与了决定个人数据国际贸易规模的谈判。个人数据经济通常被定义为促进个人信息商业交换的个人消费者、私营公司和政府机构的网络。可以说，个人数据已成为新兴政治和经济架构网络的核心组成部分。例如，一些跨国公司利用前所未有的个人信息获取方式来主导全球经济的新领域。此外，个人数据经济需要制定创新的政策计划，以有效管理个人信息的商业交换。显然，个人信息的可用性已成为全球经济的重要组成部分。我的研究将批判性地审视和评估个人数据经济，将其作为一种全球框架，以实现依赖于个人信息的永久提取的新兴权力分类。此外，该研究还将调查全球政治和经济体制以及相关的新自由主义意识形态如何影响个人数据经济的发展以及可归因于国内和国际个人信息商业的全球变革。该研究将有助于理解个人数据经济作为当代权力关系的全球框架，以及对日益依赖数字技术的世界的相关社会、政治和经济影响。此外，该研究将有助于产生跨学科知识，以制定创新政策计划，以有效监管个人信息的商业交换。研究问题：个人数据经济是否作为推动新兴经济体发展的全球框架发挥作用？权力的分类？对个人信息提取和审查的依赖如何有助于形成独特的权力分类？是否可以将个人数据经济视为政治和经济体制的延伸？新自由主义市场资本主义的原则决定了个人数据经济的参数吗？建立创新政策计划以有效治理个人数据经济的首要方法是什么？涉及个人数据经济治理的政策计划的核心组成部分是什么？研究方法本文将使用多种方法框架来促进调查研究程序的整合，并以对现有文献和实证数据的广泛审查为支持从多个来源收集。该项目本质上是跨学科的，将采用社会科学、计算机科学和应用数学的方法。为了扩大研究潜力，我将实现Python编程的Scikit-Learn软件包来构建机器学习模型。它将使用监督学习对未处理的信息进行数值编码，并使用无监督学习来识别大量经验数据中的模式。我将使用管道和可视化功能来构建一个模型，该模型可以有效地处理未处理的数据并用图形准确地演示结果。