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This volume's relevance may be explained, first and foremost, during a time of unprecedented loss of life around the world each day. The data, which is oftentimes incomplete and misleading, nonetheless reveals the state as deficient as well as negligent in its response to social healthcare needs. This volume attests to the fact that pressing global public health concerns are ever present as subjects of societal discourse and debate in developed and developing states. Moreover, the COVID-19 pandemic makes the omission of the ethics of personal data collection analysis in the international relations literature even more salient given the rise of contact tracing and increased uses of mobile phone Apps to track citizens by states and firms across the globe, as this volume's chapters analyzing the responses to COVID-19 in Iran and Taiwan explain. For this reason, dialogue connecting research and practice is necessary to identify ways to address these emerging challenges at the conceptual, economic, legal, political, and social levels. The perspectives of researchers and the experience of practitioners must come together to bring the discussion forward. In response to this plea, a community of research-practitioners remains in dialogue after two Bosch Workshops at New York University to define the contents of case studies in this volume. The responsibility of this research-practitioner community is to grapple with specific issues that define the state of the discipline in personal data collection ethics. Case studies, including prominent uses of crowd-mapping platforms and mobile telephony Apps, document legal and human rights concerns in remote areas. Field research speaks to cases ranging from an analysis of Iran's response to the COVID-19 pandemic to the exploitation of personal data collection to perpetuate modern slavery through re-education camps in the People's Republic of China to crowd-mapping stories of physical abuses in public spaces by Safecity in India. The emphasis on the ethics of personal data collection in this edited volume through various case studies is to bring race and gender to the forefront once again as lenses to understand international relations. The myth of the founding of international relations in 1919, analyzed by Acharya and Buzan (2019) a century later, is one that obfuscates the influence of race relations as well as gender in the early development of the discipline during the mid-nineteenth and early twentieth centuries. These case studies broaden the ways we understand international relations in the West and, as importantly, in the non-Western space given the countries that are the subjects of analysis: China, Iran, Taiwan, and India, as well as the European Union and the United States. As the contributors focus on the relevance of race and gender across cases, this volume underlines our concerns about the future of democracy in the face of the rising tide of authoritarianism around the world. The plight of the world's largest and most plural democracy, India, under the Modi government, the increasingly aggressive nature of China under President Xi Jinping as well as the challenge of Trumpism in the United States make these concerns, which place illiberalism at the center of developments, pressing as well as timely.
The adoption of data-driven applications across economic sectors has made data and the flow of data so pervasive that it has become integral to everything we as members of society do - from conducting our finances to operating businesses to powering the apps we use every day. Flows of knowledge and technology are at the centre of new networks driving production and innovation. The increasing use of the Internet of Things (IoT), and the growing amount of data generated, are driving substantial opportunities. Data is now one of the world's most valuable resources, and its flow across borders is the lifeblood of the global internet economy. Data has already significantly impacted various industrial sectors - e.g. trade, banking and finance, telecommunications, media/entertainment and healthcare - and the global economy overall. Governing cross-border data flows is inherently difficult given the ubiquity and value of data, and the impact government policies can have on national competitiveness, business attractiveness and personal rights. The challenge for governments is to address in a coherent manner the broad range of data-related issues in the context of a global data-driven economy. While larger economies such as the US, EU and China have clear policies and overarching objectives in place, many smaller jurisdictions have yet to adopt a strategy or framework. This is regrettable, as it is imperative that all jurisdictions have a clear strategy on cross-border data which is designed to meet the opportunities and challenges of the digital transformation. Instead, many jurisdictions currently operate on a "e;by default"e; combination of piecemeal legislation and obligations undertaken in free trade agreements.This book engages with the unexplored topic of why and how governments should develop a coherent and consistent framework regulating cross-border data flows. The objective is to fill a very significant gap in the legal and policy setting by considering multiple perspectives in order to assist in the development of a jurisdiction's coherent policy framework.
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