The Cloud and data sovereignty after Snowden

Vaile, David

doi:10.7790/ajtde.v2n1.31

Cited by 4 publications

(3 citation statements)

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“…Discussions on smart cities and recent literature on data governance and [100,101], more broadly, digital economy, society, and citizenship are already employing concepts, including data co-operatives [11,17,52,53,66,78,83,84], data sovereignty [12,18,19,46,49,50,65,68,78], data colonialism [21,80,82], and data devolution [14,20,22,69,71] (Figure 1). This article articulates this intertwined relationship by suggesting a more distinct interrelated conceptual angle that could be seen as an emerging trend in the field of smart cities [102].…”

Section: Discussionmentioning

confidence: 99%

“…The article thus aims to offer a framework to describe the present (technopolitical dimension) and anticipate the potential prospective advancements (city-regional dimension) around 'People-Centred Smart Cities' [16]. The article is structured as follows: (i) the Introduction Section presented the rationale and research question; (ii) Section 2 will introduce a discussion around data cooperatives being understood as p2p data-sharing and ownership organisational forms [17]; (iii) Section 3 will describe the main challenges with implementing data sovereignty in a wide range of city-regional contexts that could already claim to have a plethora of digital rights for communities and citizens [18,19]; (iv) Section 4, consequently, blends the data co-operatives (second section) and data sovereignty (third section) in relation to the new formulation coined by UN-Habitat in 2018 as 'People-Centred Smart Cities' by providing a transitional framework to subvert surveillance capitalism; (v) lastly, Section 5 elucidates its main contribution, the novelty of its standpoint, its existing limitations, its inspirational intention, and potential future research avenues to elaborate on the city-regional dimension of the 'People-Centred Smart Cities' approach: data devolution [20] and data colonialism [21].…”

Section: Introduction: Data Are Not the Oil Of The Twenty-first Centurymentioning

confidence: 99%

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Data Co-Operatives through Data Sovereignty

Calzada

2021

Smart Cities

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Against the widespread assumption that data are the oil of the 21st century, this article offers an alternative conceptual framework, interpretation, and pathway around data and smart city nexus to subvert surveillance capitalism in light of emerging and further promising practical cases. This article illustrates an open debate in data governance and the data justice field related to current trends and challenges in smart cities, resulting in a new approach advocated for and recently coined by the UN-Habitat programme ‘People-Centred Smart Cities’. Particularly, this feature article sheds light on two intertwined notions that articulate the technopolitical dimension of the ‘People-Centred Smart Cities’ approach: data co-operatives and data sovereignty. Data co-operatives are emerging as a way to share and own data through peer-to-peer (p2p) repositories and data sovereignty is being claimed as a digital right for communities/citizens. Consequently, this feature article aims to open up new research avenues around ‘People-Centred Smart Cities’ approach: First, it elucidates how data co-operatives through data sovereignty could be articulated as long as co-developed with communities connected to the long history and analysis of the various forms of co-operatives (technopolitical dimension). Second, it prospectively anticipates the city–regional dimension encompassing data colonialism and data devolution.

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Section: Discussionmentioning

confidence: 99%

Section: Introduction: Data Are Not the Oil Of The Twenty-first Centurymentioning

confidence: 99%

Data Co-Operatives through Data Sovereignty

Calzada

2021

Smart Cities

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“…Public policy and economics scholars have weighed in on a number of legal issues related to cloud computing, including where the infrastructure of the cloud is geographically located and the handling of health data across borders (Seddon & Currie, 2013), data jurisdiction and privacy (Bradshaw et al, 2011; Nelson, 2009; Vaile, 2014), extraterritorial jurisdiction and questions around the governance and security of citizen data across borders (Choo, 2014; Walden, 2013), government surveillance (Jaeger et al, 2008; Jaeger et al, 2009), and the ownership of data in the cloud (Reed, 2010). However, rather than pertaining to the politics or legal ramifications of data topography, most of the issues raised stem from concerns around the misuse of data, a problem prominently debated following Edward Snowden's revelations about the US National Security Agency's PRISM surveillance program.…”

Section: Jurisdiction: Sovereignty and Localizationmentioning

confidence: 99%

The law in computation: What machine learning, artificial intelligence, and big data mean for law and society scholarship

et al. 2021

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Computational systems, including machine learning, artificial intelligence, and big data analytics, are not only inescapable parts of social life but are also reshaping the contours of law and legal practice. We propose turning more law and social science (LSS) attention to new technological developments through the study of "law in computation," that is, computational systems' integration with regulatory and administrative procedures, the sociotechnical infrastructures that support them, and their impact on how individuals and populations are interpellated through the law. We present a range of cases in three areas of inquiry -algorithmic governance, jurisdiction and agency -on issues such as immigration enforcement, data sovereignty, algorithmic warfare, biometric identity regimes, and gig economies, for which examining law in computation illuminates how new technological systems' integration with legal processes pushes the distinction between "law on the books" and "law in action" into new domains. We then propose future directions and methods for research. As computational systems become ever more sophisticated, understanding the law in computation is critical not only for LSS scholarship, but also for everyday civics.

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Managing Data Sovereignty: An Organizational Competence for Successful Open Value Creation

Moschko,

Blazevic,

Piller

2024

R&D Management

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Managing big data benefits organizations via efficient and effective data‐driven decision making, productivity gains, customization potential, or innovation opportunities. Data‐driven innovation opportunities are particularly valuable in open value creation (OVC), that is, the collaboration of independent stakeholders who open their boundaries to share data and knowledge to jointly create value they could not have achieved in isolation. At the same time, however, incumbents often struggle with the implementation of data sharing in the broader stakeholder ecosystem. In this exploratory study, based on an abductive qualitative study with 27 expert interviews and three industry roundtables with 19 experts, we explore how the concept of organizational data sovereignty could serve as an organizational competency to address the data challenges for OVC. Using the strategy‐as‐practice framework, we define organizational data sovereignty as the self‐determined and intentional exercise of control over an organization's data assets and show which data sovereignty practices, in line with practitioner and praxis conditions, support inter‐organizational sharing and management of big data in OVC. Specifically, we identify key practices for implementing data sovereignty, such as constituting the special value of data and establishing a consistent value assessment for data. When designed and applied in the right organizational framework that allows for openness, agility, and interdisciplinarity, they enable industrial enterprises to realize the potential of OVC.

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The Cloud and data sovereignty after Snowden

Cited by 4 publications

References 2 publications

Data Co-Operatives through Data Sovereignty

Data Co-Operatives through Data Sovereignty

The law in computation: What machine learning, artificial intelligence, and big data mean for law and society scholarship

Managing Data Sovereignty: An Organizational Competence for Successful Open Value Creation

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