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

随着信息和通信技术的飞速发展，可以看到，许多相关的政治和经济变革已成为21世纪的特征。主要是，丰富的个人数据已成为现代社会改善和公民管理的一个越来越重要的组成部分。第二，各国政府和跨国公司已经认识到数字信息的重要性，并参与了将决定个人数据国际商业规模的谈判。个人数据经济通常被定义为个人消费者、私人公司和政府机构的网络，这些网络促进了个人信息的商业交换。毫无疑问，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，一些跨国公司利用其前所未有的获取个人信息的机会，主宰了全球经济的新部门。此外，个人数据经济要求制定创新的政策方案，以有效管理个人信息的商业交流。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研究和评估个人数据经济作为一个全球框架的紧急分类的权力，这是依赖于个人信息的永久提取。此外，本研究还将探讨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个人信息国内和国际商业的全球转型。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，该研究将有助于生产跨学科的知识，为发展创新的政策方案，有效地监管个人信息的商业交流。研究问题：个人数据经济功能作为一个全球框架，为推进一个新兴的分类权力？对个人信息的提取和检查的依赖如何有助于对权力进行独特的分类？是否可以将个人数据经济视为政治和经济机构的延伸？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？建立有效管理个人数据经济的创新政策方案的最重要方法是什么？涉及个人数据经济治理的政策方案的核心组成部分是什么？研究方法本论文将使用一个多方法框架，以促进调查性研究程序的整合，通过广泛的文献回顾和从多个来源收集的经验数据的支持。该项目本质上是跨学科的，采用了社会科学、计算机科学和应用数学的方法。为了扩大研究的潜力，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字编码，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，并通过图形准确地展示结果。

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.