Public engagement with UK government data science: Propositions from a literature review of public engagement on new technologies

Data science can offer huge opportunities for government. With the ability to process larger and more complex datasets than ever before, it can provide better insights for policymakers and make services more tailored and efficient. As with all new technologies, there is a risk that we do not take up its opportunities and miss out on its enormous potential. We want people to feel confident to innovate with data. So, over the past 18 months, the Government Data Science Partnership has taken an open, evidence-based and user-centred approach to creating an ethical framework. It is a practical document that brings all the legal guidance together in one place, and is written in the context of new data science capabilities. As part of its development, we ran a public dialogue on data science ethics, including deliberative workshops, an experimental conjoint survey and an online engagement tool. The research supported the principles set out in the framework as well as provided useful insight into how we need to communicate about data science. It found that people had a low awareness of the term ‘data science’, but that showing data science examples can increase broad support for government exploring innovative uses of data. But people's support is highly context driven. People consider acceptability on a case-by-case basis, first thinking about the overall policy goals and likely intended outcome, and then weighing up privacy and unintended consequences. The ethical framework is a crucial start, but it does not solve all the challenges it highlights, particularly as technology is creating new challenges and opportunities every day. Continued research is needed into data minimization and anonymization, robust data models, algorithmic accountability, and transparency and data security. It also has revealed the need to set out a renewed deal between the citizen and state on data, to maintain and solidify trust in how we use people's data for social good. This article is part of the themed issue ‘The ethical impact of data science’.

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The hidden assumptions in public engagement: A case study of engaging on ethics in government data analysis

Research for All ◽

10.18546/rfa.03.2.05 ◽

2019 ◽

Vol 3 (2) ◽

pp. 180-190

Author(s):

Emily S Rempel ◽

Julie Barnett ◽

Hannah Durrant

Keyword(s):

Public Engagement ◽

Data Science ◽

Advisory Group ◽

Final Report ◽

Public Dialogue ◽

Science Ethics ◽

Stakeholder Interests ◽

Government Data ◽

Underlying Mechanisms ◽

The Uk

This study examines the hidden assumptions around running public-engagement exercises in government. We study an example of public engagement on the ethics of combining and analysing data in national government – often called data science ethics. We study hidden assumptions, drawing on hidden curriculum theories in education research, as it allows us to identify conscious and unconscious underlying processes related to conducting public engagement that may impact results. Through participation in the 2016 Public Dialogue for Data Science Ethics in the UK, four key themes were identified that exposed underlying publicengagement norms. First, that organizers had constructed a strong imagined public as neither overly critical nor supportive, which they used to find and engage participants. Second, that official aims of the engagement, such as including publics in developing ethical data regulations, were overshadowed by underlying meta-objectives, such as counteracting public fears. Third, that advisory group members, organizers and publics understood the term 'engagement' in varying ways, from creating interest to public inclusion. And finally, that stakeholder interests, particularly government hopes for a positive report, influenced what was written in the final report. Reflection on these underlying mechanisms, such as the development of meta-objectives that seek to benefit government and technical stakeholders rather than publics, suggests that the practice of public engagement can, in fact, shut down opportunities for meaningful public dialogue.

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Identifying the Role of Digital Technologies in Sport Spectators Customer Experiences through Qualitative Approach

Athens Journal of Sports ◽

10.30958/ajspo.8-2-3 ◽

2021 ◽

Vol 8 (2) ◽

pp. 141-160

Author(s):

Ekaterina Glebova ◽

Michel Desbordes

Keyword(s):

Literature Review ◽

Sport Management ◽

New Technologies ◽

Digital Technologies ◽

Primary Data ◽

Technological Transformation ◽

Consumption Culture ◽

International Sport ◽

The Impact

The massive uptake of digital technologies has changed the way how fans and the sports service field communicate and interact. In the current paper, we would like to emphasize the role of technology holistically in sport spectators customer experiences (SSCX) as a "game-changer" marketing in sports and the digitalization of SSCX. In this paper, we aim to explore and qualitatively describe by interviewees verbatim how new technologies impact SSCX. It draws on the literature review, combined with the primary data collected on unstructured interviews with international sport management and technology experts (N=10). It brings sports marketing insights followed by examples from industry professionals. Iterative analysis of data combined with literature review let us achieve to outline the crucial points and trends of technological transformations in sports spectacle. We offer an updated perspective on the SSCX through the prism of the impact of digital technologies and reshaping sports consumption culture. To this end, we develop a conceptual model that captures the nature of modern SSCX influenced by digital technologies. Keywords: technological transformation, sports spectacle, customer experience, co-creation, connectivity

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Virtual medical learning: a comprehensive study on the role of new technologies

Kybernetes ◽

10.1108/k-10-2020-0671 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Mi Tang ◽

Hongmei Zhou ◽

Qingyan Yan ◽

Ruoyu Li ◽

Hui Lu

Keyword(s):

Literature Review ◽

New Technologies ◽

Low Cost ◽

Access Point ◽

Learning Technologies ◽

Learning Technology ◽

Content Type ◽

Services Delivery ◽

Medical Learning ◽

Intellectual Knowledge

PurposeHealthcare employs informatics to offer its services through information technology where the social network can aid virtual medical learning. Since the usage of the internet and other electronic tools for medical services delivery is at the initial stage, it is essential to examine the factors that condition patients and medical elements in a virtual environment can develop relationship models on the health services. So, the authors have systematically reviewed virtual medical learning and offered some suggestions for the upcoming works. The authors have also discovered gaps in the state-of-the-art papers and provided solutions for them.Design/methodology/approachNumerous novel advancements have changed the old exercise of therapeutic and analytic learning. Virtual spaces have quickly turned into a section of the learning technology vision. Given the importance of its achievements and endless low-cost expansion of the educational system, virtual education has been considered as one of the issues raised by the information communities. Medicine and health are some of the most important fields in virtual technologies. Hence, in this paper, we have used a systematic literature review to deeply examine virtual medical learning. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest and IEEE for relevant studies have been performed, and 21 papers have been analyzed. Detailed data have been mined out of the papers.FindingsThe authors have found that virtual medical learning improves and expands the knowledge core and meaningfully affects the exercise. Virtual learning (VL) has been used in many therapeutic zones, like therapeutic learning, surgery, diagnosing, combining and regularizing processes. It has presented a fundamental access point and a referral mechanism for all of a course's component communities. It can also simplify communicative education, allowing learners to get abilities before applying them in a real-world situation. Also, the communicative characteristics of different VL programs can somehow be like direct teaching.Research limitations/implicationsSome excellent work may be removed owing to applying the filters to select the primary papers. Surveying all the documents on the topic of virtual medical learning is impossible, too. Nevertheless, the authors have tried to present a perfect survey of virtual medical learning. The results will be helpful for scholars to propose better virtual medical learning techniques.Practical implicationsE-learning has become an indispensable additional learning tool in medical education. The introduction of new learning technologies, the exponential growth of Internet usage and the advent of the World Wide Web can change the face of higher education. The results will be helpful for scholars for the upcoming works. The application of a literature review of partial least squares theory was useful for offering comprehensive literary coverage and completing the knowledge development analysis. The authors have backed scholars and experts for better understanding the development of virtual medical learning systems via presenting comparative data and scrutinizing the present advances.Originality/valueThe paper enhances intellectual knowledge by improving the conception of virtual medical learning. It informs the development, use of virtual medical learning and the upcoming works. The lack of comprehensive papers in this field has increased the importance of this paper. The present paper can handle the pace of publications.

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A Systematic Literature Review of Open Government Data Research: Challenges, Opportunities and Gaps

2018 Open Innovations Conference (OI) ◽

10.1109/oi.2018.8535794 ◽

2018 ◽

Cited By ~ 3

Author(s):

Manal Ibrahim Ali Hassan ◽

Hossana Twinomurinzi

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Open Government ◽

Research Challenges ◽

Open Government Data ◽

Government Data

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CS Measures for Nuclear Power Plant Protection: A Systematic Literature Review

Signals ◽

10.3390/signals2040046 ◽

2021 ◽

Vol 2 (4) ◽

pp. 803-819

Author(s):

Nabin Chowdhury

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Cyber Security ◽

Nuclear Power ◽

Power Plants ◽

New Technologies ◽

Plant Protection ◽

Security Requirements ◽

Protection Measures ◽

Defense In Depth

As digital instrumentation in Nuclear Power Plants (NPPs) is becoming increasingly complex, both attack vectors and defensive strategies are evolving based on new technologies and vulnerabilities. Continued efforts have been made to develop a variety of measures for the cyber defense of these infrastructures, which often consist in adapting security measures previously developed for other critical infrastructure sectors according to the requirements of NPPs. That being said, due to the very recent development of these solutions, there is a lack of agreement or standardization when it comes to their adoption at an industrial level. To better understand the state of the art in NPP Cyber-Security (CS) measures, in this work, we conduct a Systematic Literature Review (SLR) to identify scientific papers discussing CS frameworks, standards, guidelines, best practices, and any additional CS protection measures for NPPs. From our literature analysis, it was evidenced that protecting the digital space in NPPs involves three main steps: (i) identification of critical digital assets; (ii) risk assessment and threat analysis; (iii) establishment of measures for NPP protection based on the defense-in-depth model. To ensure the CS protection of these infrastructures, a holistic defense-in-depth approach is suggested in order to avoid excessive granularity and lack of compatibility between different layers of protection. Additional research is needed to ensure that such a model is developed effectively and that it is based on the interdependencies of all security requirements of NPPs.

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A Model to Evaluate the Organizational Readiness for Big Data Adoption

International Journal of Computers Communications & Control ◽

10.15837/ijccc.2020.3.3874 ◽

2020 ◽

Vol 15 (3) ◽

Author(s):

Javaneh Ramezani ◽

Mahdi Nasrollahi

Keyword(s):

Principal Component Analysis ◽

Big Data ◽

Literature Review ◽

New Technologies ◽

Principal Component ◽

Organizational Readiness ◽

Decision Makers ◽

Comprehensive Literature Review ◽

The Hierarchical Structure ◽

Best Worst Method

Evaluating organizational readiness for adopting new technologies always was an important issue for managers. This issue for complicated subjects such as Big Data is undeniable. Managers tend to adopt Big Data, with the best readiness. But this is not possible unless they can assess their readiness. In the present paper, we propose a model to evaluate the organizational readiness for Big Data adoption. To accomplish this objective, firstly, we identified the criteria that impact organizational readiness based on a comprehensive literature review. In the next step using Principal Component Analysis (PCA) for criterion reduction and integration, twelve main criteria were identified. Then the hierarchical structure of criteria was developed. Further, Fuzzy Best- Worst Method (FBWM) has been used to identify the weight of the criteria. The finding enables decision-makers to appropriately choose the more important criteria and drop unimportant criteria in strengthening organizational readiness for Big Data adoption. Statistics-based hierarchical model and MCDM based criteria weighting have been proposed, which is a new effort in evaluating organizational readiness for Big Data adoption.

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Big data science: A literature review of nursing research exemplars

Nursing Outlook ◽

10.1016/j.outlook.2016.11.021 ◽

2017 ◽

Vol 65 (5) ◽

pp. 549-561 ◽

Cited By ~ 23

Author(s):

Bonnie L. Westra ◽

Martha Sylvia ◽

Elizabeth F. Weinfurter ◽

Lisiane Pruinelli ◽

Jung In Park ◽

...

Keyword(s):

Big Data ◽

Literature Review ◽

Data Science ◽

Nursing Research

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EVALUATING CORPORATE-STARTUP CO-CREATION: A CRITICAL REVIEW OF THE LITERATURE

International Journal of Innovation Management ◽

10.1142/s1363919621500730 ◽

2021 ◽

pp. 2150073

Author(s):

ANNIKA STEIBER ◽

SVERKER ALANGE ◽

VINCENZO CORVELLO

Keyword(s):

Literature Review ◽

Critical Review ◽

New Technologies ◽

Large Firms ◽

Review Of The Literature ◽

Body Of Knowledge ◽

Evaluation Models ◽

Research Findings ◽

Multi Stakeholder ◽

Technology Startups

Partnership with startups offers large firms knowledge about, and access to new technologies. Incumbents’ emphasis on corporate-startup collaboration has therefore reached a new level and various models for corporate-startup collaboration can now be found among large enterprises. “Co-creation” between large firms and technology startups, is one of these models that increases in traction. The model is, however, under-researched and research on frameworks and metrics for evaluating the business effects from corporate-startup co-creation is scarce. The purpose of this paper is therefore to extend the existing body of knowledge by investigating frameworks and metrics for evaluating corporate-startup “co-creation” and to suggest a framework for evaluation of corporate-startup co-creation programs. A literature review on identified frameworks and metrics is presented, covering research findings on evaluation models for corporate-startup collaboration. The main finding in this paper is a “multi-stakeholder framework” for evaluating the collaboration’s results in corporate-startup co-creation models.

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Sentinel-2 mission Contribution for Supporting Bathymetric layers of SAFAGA coastal zone, Egypt

10.5194/egusphere-egu21-14327 ◽

2021 ◽

Author(s):

Ramez Saeed ◽

Saad Abdelrahman ◽

Andrea Scozari ◽

Abdelazim Negm

Keyword(s):

Red Sea ◽

Satellite Imagery ◽

Data Science ◽

New Technologies ◽

Coefficient Of Determination ◽

Change Environment ◽

Bathymetric Data ◽

Work Supports ◽

Sentinel 2

ABSTRACTWith the fast and highly growing demand for all possible ways of remote work as a result of COVID19 pandemic, new technologies using Satellite data were highly encouraged for multidisciplinary applications in different fields such as; agriculture, climate change, environment, coastal management, maritime, security and Blue Economy.This work supports applying Satellite Derived Bathymetry (SDB) with the available low-cost multispectral satellite imagery applications, instruments and readily accessible data for different areas with only their benthic parameters, water characteristics and atmospheric conditions.&#160; The main goal of this work is to derive bathymetric data needed for different hydrographic applications, such as: nautical charting, coastal engineering, water quality monitoring, sediment movement monitoring and supporting both green carbon and marine data science. &#160;Also, this work proposes and assesses a SDB procedure that makes use of publicly-available multispectral satellite images (Sentinel2 MSI) and applies algorithms available in the SNAP software package for extracting bathymetry and supporting bathymetric layers against highly expensive traditional in-situ hydrographic surveys. The procedure was applied at SAFAGA harbor area, located south of Hurghada at (26&#176;44&#8242;N, 33&#176;56&#8242;E), on the Egyptian Red Sea coast.&#160; SAFAGA controls important maritime traffic line in Red Sea such as (Safaga &#8211; Deba, Saudi Arabia) maritime cruises. &#160;SAFAGA depths change between 6 m to 22m surrounded by many shoal batches and confined waters that largely affect maritime safety of navigation.&#160; Therefore, there is always a high demand for updated nautical charts which this work supports.&#160; The outcome of this work provides and fulfils those demands with bathymetric layers data for the approach channel and harbour usage bands electronic nautical chart of SAFAGA with reasonable accuracies. &#160;The coefficient of determination (R2) differs between 0.42 to 0.71 after applying water column correction by Lyzenga algorithm and deriving bathymetric data depending on reflectance /radiance of optical imagery collected by sentinel2 missions with in-situ depth data values relationship by Stumpf equation.&#160; The adopted approach proved to give&#160; highly reasonable results that could be used in nautical charts compilation. Similar methodologies could be applied to inland water bodies. &#160;This study is part of the MSc Thesis of the first author and is in the framework of a bilateral project between ASRT of Egypt and CNR of Italy which is still running.Keywords: Algorithm, Bathymetry, Sentinel 2, nautical charting, Safaga port, satellite imagery, water depth, Egypt.

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