Mobile Big Data in the fight against COVID-19

Benjamins, Richard; Vos, Jeanine; Verhulst, Stefaan

doi:10.1017/dap.2021.39

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…As a result, 17 mobile operators shared the data with the EC covering 22 EU member states and Norway which was seen as an initiative of "unprecedented nature" (Vespe et al, 2021). Other 'success stories' of voluntary data sharing of telecom data in the times of the pandemic can be found in a special issue of Data & Policy (Benjamins, Vos, & Verhulst, 2022). The guest editors of the special issue (two of whom are representatives of the mobile industry) reflected on these practices and formulated two key challenges: financing to ensure long-term supply of data and building capacities and digital skills among government organizations (Ibid.).…”

Section: Discussionmentioning

confidence: 99%

Business-to-Government Data Sharing for Public Interests in the European Union: Results of a Public Consultation

Susha

Schiele²,

Frenken³

2022

Lecture Notes in Computer Science

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Lately governments and companies began experimenting with voluntary data sharing of business data for addressing public problems (so-called Data Collaboratives). This early practice revealed a number of challenges impeding business-to-government (B2G) data sharing and thus limiting the potential of data to provide answers and guide policies and action. One of the key challenges is the lack of a clear regulatory framework for B2G data sharing. To tackle this issue, the European Commission is taking regulatory action and preparing the Data Act which aims to spell out the rules and conditions for B2G data sharing for public interest. These developments, however, are met with resistance. While there is a strong push from the public sector for more private sector data, the private sector is less enthusiastic about the prospective mandatory B2G data sharing. In our study we zoom in on this issue in more detail and pose the following research question: How do public and private sector actors in the European Union view the prospect of mandatory B2G data sharing for public interest? To answer this question, we analyze the open dataset of responses to the public consultation of the European Commission. We find statistically significant results of business opposition to regulatory action and to mandating B2G data sharing, particularly among telecom and finance sectors. We also conclude that opposition to mandatory data sharing varies depending on the public interest purpose and is lowest among businesses with regards to emergencies and highest with regard to education, inclusion, and statistics.

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Section: Discussionmentioning

confidence: 99%

Business-to-Government Data Sharing for Public Interests in the European Union: Results of a Public Consultation

Susha

Schiele²,

Frenken³

2022

Lecture Notes in Computer Science

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“…In addressing these challenges, data and associated technologies have played a central role. They have provided real-time evidence to policymakers, localized advice to individuals, facilitated the rapid development of vaccines (Latif et al, 2020; Oliver et al, 2020; Benjamins et al, 2022), and underpinned economic and social responses against the pandemic’s disruption. Looking beyond the pandemic, data-driven innovation, especially with the aid of AI and when deployed responsibly, holds significant potential in tackling other major challenges.…”

Section: An Interdisciplinary and Sector-agnostic Framework To Map Th...mentioning

confidence: 99%

Unleashing collective intelligence for public decision-making: the Data for Policy community

Engin,

Gardner,

Hyde

et al. 2024

Data & Policy

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Since its establishment in 2014, Data for Policy (https://dataforpolicy.org) has emerged as a prominent global community promoting interdisciplinary research and cross-sector collaborations in the realm of data-driven innovation for governance and policymaking. This report presents an overview of the community’s evolution from 2014 to 2023 and introduces its six-area framework, which provides a comprehensive mapping of the data for policy research landscape. The framework is based on extensive consultations with key stakeholders involved in the international committees of the annual Data for Policy conference series and the open-access journal Data & Policy (https://www.cambridge.org/core/journals/data-and-policy), published by Cambridge University Press. By presenting this inclusive framework, along with the guiding principles and future outlook for the community, this report serves as a vital foundation for continued research and innovation in the field of data for policy.

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“…Turning to the example of COVID-19 containment, several studies emphasize that digital trace data alone was not a sufficient means to design appropriate interventions (Benjamins et al, 2022). What proved to be important was that different stakeholders, such as data analysts and policymakers, formed partnerships where they jointly learnt about the problem context, defined relevant parameters, as well as mutual expectations (Coudin et al, 2021; Oliver et al, 2020; Vespe et al, 2021).…”

Section: Five Principles For Developing Situated Explanations On the ...mentioning

confidence: 99%

“…The European Commission, for example, explicitly expected that actions and decisions are based on insights by policymakers as well as scientists (European Commission, 2020). At the same time, post-evaluations of the bespoken initiative by the EU as well as several others (Benjamins et al, 2022; GovLab, 2021) showed that various stakeholders were important for making sense of problem contexts as well as defining appropriate actions; these included public health bodies, government agencies and data scientists. These post-evaluations also found that various capabilities were needed to inform actions on the grounds of mobile phone data, such as the capability to translate insights gained from representations into accessible language, or the capability to form and lead collaborative networks that bring in various data sources and analyze them from different angles (GovLab, 2021).…”

Section: Five Principles For Developing Situated Explanations On the ...mentioning

confidence: 99%

Generating impactful situated explanations through digital trace data

Grisold,

Kremser,

Mendling

et al. 2023

Journal of Information Technology

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Progressively, information systems (IS) researchers draw on digital trace data to capture the emergent dynamics of today’s digitalized world. Digital trace data enable researchers to generate highly-context specific insights into the features and dynamics of socio-technical phenomena. We suggest how IS researchers can use digital trace data to develop situated explanations, that is, explanations that capture the idiosyncratic features of real-world problems in order to generate impactful solutions to these problems. We outline five key principles to build situated explanations based on digital trace data. We make several suggestions on how the information system field can adjust its research and publication practices to embrace the development and dissemination of situated explanations.

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Mobile Big Data in the fight against COVID-19

Cited by 4 publications

References 13 publications

Business-to-Government Data Sharing for Public Interests in the European Union: Results of a Public Consultation

Business-to-Government Data Sharing for Public Interests in the European Union: Results of a Public Consultation

Unleashing collective intelligence for public decision-making: the Data for Policy community

Generating impactful situated explanations through digital trace data

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