Security implications of digitalization: The dangers of data colonialism and the way towards sustainable and sovereign management of environmental data

• URL: http://arxiv.org/abs/2107.01662v1
• Date: Sun, 4 Jul 2021 15:31:42 GMT
• Title: Security implications of digitalization: The dangers of data colonialism and the way towards sustainable and sovereign management of environmental data
• Authors: Matthias St\"urmer, Jasmin Nussbaumer, Pascal St\"ockli
• Abstract summary: Digitalization opens up new opportunities in the collection, analysis, and presentation of data. This study presents a framework that identifies the risks and consequences along the workflow of collecting, processing, storing, using of data. Fundamental to this framework is the novel concept of "data colonialism" which describes today's trend of private companies appropriating the digital sphere.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Digitalization opens up new opportunities in the collection, analysis, and presentation of data which can contribute to the achievement of the 2030 Agenda and its Sustainable Development Goals (SDGs). In particular, the access to and control of environmental and geospatial data is fundamental to identify and understand global issues and trends. Also immediate crises such as the COVID-19 pandemic demonstrate the importance of accurate health data such as infection statistics and the relevance of digital tools like video conferencing platforms. However, today much of the data is collected and processed by private actors. Thus, governments and researchers depend on data platforms and proprietary systems of big tech companies such as Google or Microsoft. The market capitalization of the seven largest US and Chinese big tech companies has grown to 8.7tn USD in recent years, about twice the size of Germany's gross domestic product (GDP). Therefore, their market power is enormous, allowing them to dictate many rules of the digital space and even interfere with legislations. Based on a literature review and nine expert interviews this study presents a framework that identifies the risks and consequences along the workflow of collecting, processing, storing, using of data. It also includes solutions that governmental and multilateral actors can strive for to alleviate the risks. Fundamental to this framework is the novel concept of "data colonialism" which describes today's trend of private companies appropriating the digital sphere. Historically, colonial nations used to grab indigenous land and exploit the cheap labor of slave workers. In a similar way, today's big tech corporations use cheap data of their users to produce valuable services and thus create enormous market power.

Related papers

• On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms [58.93352076927003]
  There have been severe concerns over the trustworthiness of AI technologies. Machine and deep learning algorithms depend heavily on the data used during their development. We propose a framework to evaluate the datasets through a responsible rubric.
  arXiv  Detail & Related papers  (2023-10-24T14:01:53Z)
• Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda [0.9310318514564271]
  White paper describes a research agenda to advance our understanding of the problem and solution of data privacy in emerging market and financial services. We highlight five priority areas for research: comprehensive analyses; understanding local definitions of data privacy'; documenting key sources of risk, and potential technical solutions. We hope this research agenda will focus attention on the multi-faceted nature of privacy in emerging markets.
  arXiv  Detail & Related papers  (2023-10-08T02:11:19Z)
• The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers [14.392208044851976]
  Data producers have little say in what data is captured, how it is used, or who it benefits. Organizations with the ability to access and process this data, e.g. OpenAI and Google, possess immense power in shaping the technology landscape. By synthesizing related literature that reconceptualizes the production of data for computing as data labor'', we outline opportunities for researchers, policymakers, and activists to empower data producers.
  arXiv  Detail & Related papers  (2023-05-22T17:11:22Z)
• Reconfiguring Data Infrastructure Ecosystem in Africa: A Primer Toward Digital Sovereignty [0.0]
  The growth of the Internet and its associated technologies have tremendously impacted our society. There is therefore a need for African nations to design appropriate blueprint to ensure security of her digital infrastructure. A roadmap in the immediate, short and long-term in accordance with the framework of African developmental goals should be put in place to guide the implementation.
  arXiv  Detail & Related papers  (2021-09-29T04:13:18Z)
• Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization [60.18814584837969]
  We present Explainable Patterns (ExPatt), a new framework to support lay users in exploring and creating data storytellings. ExPatt automatically generates plausible explanations for observed or selected findings using an external (textual) source of information.
  arXiv  Detail & Related papers  (2021-01-19T16:13:44Z)
• Second layer data governance for permissioned blockchains: the privacy management challenge [58.720142291102135]
  In pandemic situations, such as the COVID-19 and Ebola outbreak, the action related to sharing health data is crucial to avoid the massive infection and decrease the number of deaths. In this sense, permissioned blockchain technology emerges to empower users to get their rights providing data ownership, transparency, and security through an immutable, unified, and distributed database ruled by smart contracts.
  arXiv  Detail & Related papers  (2020-10-22T13:19:38Z)
• Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges [67.71975391801257]
  Much concern in mobile data analysis is related to human beings and their behaviours. This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.
  arXiv  Detail & Related papers  (2020-08-29T15:14:03Z)
• From Data to Knowledge to Action: A Global Enabler for the 21st Century [26.32590947516587]
  A confluence of advances in the computer and mathematical sciences has unleashed unprecedented capabilities for enabling true evidence-based decision making. These capabilities are making possible the large-scale capture of data and the transformation of that data into insights and recommendations. The shift of commerce, science, education, art, and entertainment to the web makes available unprecedented quantities of structured and unstructured databases about human activities.
  arXiv  Detail & Related papers  (2020-07-31T19:19:42Z)
• Discussing Privacy and Surveillance on Twitter: A Case Study of COVID-19 [2.0305676256390934]
  Technology is uniquely positioned to help us analyze large amounts of information to provide valuable insight during widespread public health concerns. Apple and Google have recently launched tools for contact tracing. It might be useful to highlight the privacy concerns of users, should they exist, through analysis of Twitter data and information sharing policies during unprecedented public health outbreaks.
  arXiv  Detail & Related papers  (2020-06-11T20:56:55Z)
• COVI White Paper [67.04578448931741]
  Contact tracing is an essential tool to change the course of the Covid-19 pandemic. We present an overview of the rationale, design, ethical considerations and privacy strategy of COVI,' a Covid-19 public peer-to-peer contact tracing and risk awareness mobile application developed in Canada.
  arXiv  Detail & Related papers  (2020-05-18T07:40:49Z)
• A vision for global privacy bridges: Technical and legal measures for international data markets [77.34726150561087]
  Despite data protection laws and an acknowledged right to privacy, trading personal information has become a business equated with "trading oil" An open conflict is arising between business demands for data and a desire for privacy. We propose and test a vision of a personal information market with privacy.
  arXiv  Detail & Related papers  (2020-05-13T13:55:50Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.