Foreword, special issue: economic analysis of litigations 2

Marciano, Alain; Ramello, Giovanni B.; Schaefer, Hans-Bernd

doi:10.1007/s10657-020-09664-4

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…Al Gore's "Information highways" [73], the digital interconnection of all continents [74] and the technological evolution of telecommunications have allowed business intelligence since the 50s [72] to take one significant step forward. These early technological revolutions in telecommunication together with the adoption of Internet-web technology at all levels systematically generate enormous amounts of data, thus pushing the emergence of big data technologies [1,9]. Big data is emerging in society and consolidating a fourth revolution where the Internet of Things functions as a gateway for the interconnection of virtual and physical space, blurring both realities.…”

Section: Discussionmentioning

confidence: 99%

“…This process is affecting all sectors and all countries." [1]. Some technologies such as big data, artificial intelligence and machine learning stand out in this revolution, all becoming increasingly present in society in various forms, such as platforms or mobile apps due to the adoption of cloud computing by the business sector.…”

Section: Introduction 1data Revolution: Industry Society and Educationmentioning

confidence: 99%

“…Some authors such as Bellamy [15], West [16] and Zuboff [17] give the name "Surveillance Capitalism" to this new data-based social era where this interdependency is unbalanced against the citizen. Some examples can be found in fake news [1], data leaking [18], society manipulation and digital attention economy [19] besides a lack of privacy and security.…”

Section: Introduction 1data Revolution: Industry Society and Educationmentioning

confidence: 99%

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Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access

et al. 2021

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Data in the educational context are becoming increasingly important in decision-making and teaching-learning processes. Similar to the industrial context, educational institutions are adopting data-processing technologies at all levels. To achieve representative results, the processes of extraction, transformation and uploading of educational data should be ubiquitous because, without useful data, either internal or external, it is difficult to perform a proper analysis and to obtain unbiased educational results. It should be noted that the source and type of data are heterogeneous and that the analytical processes can be so diverse that it opens up a practical problem of management and access to the data generated. At the same time, ensuring the privacy, identity, confidentiality and security of students and their data is a “sine qua non” condition for complying with the legal issues involved while achieving the required ethical premises. This work proposes a modular and scalable data system architecture that solves the complexity of data management and access. On the one hand, it allows educational institutions to collect any data generated in both the teaching-learning and management processes. On the other hand, it will enable external access to this data under appropriate privacy and security conditions.

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