Data and political campaigning in the era of big data – the UK experience 1

2019 ◽  
pp. 214-235
Author(s):  
Stephanie Hankey ◽  
Ravi Naik ◽  
Gary Wright
Keyword(s):  
Big Data ◽  
Political Campaigning ◽  
The Uk

Big Data and Natural Language Processing for Analysing Railway Safety

2018 ◽  
pp. 240-267
Author(s):  
Kanza Noor Syeda ◽  
Syed Noorulhassan Shirazi ◽  
Syed Asad Ali Naqvi ◽  
Howard J Parkinson ◽  
Gary Bamford
Keyword(s):  
Big Data ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Machine Intelligence ◽  
Data Availability ◽  
Accident Data ◽  
Data Driven Approach ◽  
Advanced Analytics ◽  
The Uk

Due to modern powerful computing and the explosion in data availability and advanced analytics, there should be opportunities to use a Big Data approach to proactively identify high risk scenarios on the railway. In this chapter, we comprehend the need for developing machine intelligence to identify heightened risk on the railway. In doing so, we have explained a potential for a new data driven approach in the railway, we then focus the rest of the chapter on Natural Language Processing (NLP) and its potential for analysing accident data. We review and analyse investigation reports of railway accidents in the UK, published by the Rail Accident Investigation Branch (RAIB), aiming to reveal the presence of entities which are informative of causes and failures such as human, technical and external. We give an overview of a framework based on NLP and machine learning to analyse the raw text from RAIB reports which would assist the risk and incident analysis experts to study causal relationship between causes and failures towards the overall safety in the rail industry.

Big Data Analytics and the Accessibility of Public Inquiries

2020 ◽  
pp. 217-230
Author(s):  
Philip Garnett ◽  
Sarah M. Hughes
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Public ◽  
The Us ◽  
The Uk

In this chapter, Garnett and Hughes focus on the role of big data in accessing information from public inquiries. Looking at the Chelsea Manning court martial in the US and the Leveson Inquiry in the UK, they argue that the manner in which information pertaining to inquiries is made public is, at best, unsatisfactory. They propose a variety of means to make this information more accessible and hence more transparent to the public through employing big data techniques.

Optimisation of resource management in construction projects: a big data approach

2019 ◽  
Vol 16 (2) ◽  
pp. 82-93 ◽  
Author(s):  
Habeeb Kusimo ◽  
Lukumon Oyedele ◽  
Olugbenga Akinade ◽  
Ahmed Oyedele ◽  
Sofiat Abioye ◽  
...  
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Design Methodology ◽  
Key Factors ◽  
Content Type ◽  
Management Processes ◽  
Qualitative Research Methodology ◽  
The Uk

Purpose The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach Based on a qualitative research methodology, 14 experts from the UK construction industry were chosen to be participants in the study. The participants were equally divided into two focus groups to discuss resource management using five projects as case studies. Thematic analysis of the discussion reveals seven key factors that affect resource management. Findings The results show that most of the problems identified are due to poor data management processes and the practice of having data in silos. Overcoming this challenge requires the adoption of big data approaches for resource management to allow the integration of large and different forms of data. Originality/value This study seeks to bring to the fore challenges faced in resource management by the UK construction industry and to outline some solutions to address them.

scholarly journals Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

2018 ◽  
Vol 25 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Philip J. Scott ◽  
Rachel Dunscombe ◽  
David Evans ◽  
Mome Mukherjee ◽  
Jeremy C. Wyatt
Keyword(s):  
Big Data ◽  
System Design ◽  
Data Science ◽  
Digital Health ◽  
Evidence Base ◽  
Clinical Informatics ◽  
Two Cultures ◽  
Design And Implementation ◽  
The Two Cultures ◽  
The Uk

BackgroundUK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational ‘Big Data’. Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledge management and application, which in turn depends upon effective system design and implementation. Biomedical informatics is the interdisciplinary field at the intersection of health science, social science and information science and technology that spans this entire scope.IssuesIn the UK, the separate worlds of health data science (bioinformatics, ‘Big Data’) and effective healthcare system design and implementation (clinical informatics, ‘Digital Health’) have operated as ‘two cultures’. Much National Health Service and social care data is of very poor quality. Substantial research funding is wasted on ‘data cleansing’ or by producing very weak evidence. There is not yet a sufficiently powerful professional community or evidence base of best practice to influence the practitioner community or the digital health industry.RecommendationThe UK needs increased clinical informatics research and education capacity and capability at much greater scale and ambition to be able to meet policy expectations, address the fundamental gaps in the discipline’s evidence base and mitigate the absence of regulation. Independent evaluation of digital health interventions should be the norm, not the exception.ConclusionsPolicy makers and research funders need to acknowledge the existing gap between the ‘two cultures’ and recognise that the full social and economic benefits of digital health and data science can only be realised by accepting the interdisciplinary nature of biomedical informatics and supporting a significant expansion of clinical informatics capacity and capability.

(De)legitimizing Scottish independence on Twitter: A multimodal comparison of the main official campaigns

2020 ◽  
Vol 14 (6) ◽  
pp. 580-599
Author(s):  
Robin Engström
Keyword(s):  
Social Media ◽  
Outcome Research ◽  
Moral Evaluation ◽  
Political Campaigning ◽  
Run Up ◽  
Scottish Independence ◽  
The Uk

The Scottish independence referendum in 2014 saw the breakthrough of online political campaigning in the UK. Despite the outcome, research and media alike concluded that the main pro-independence campaign, Yes Scotland (YS), outdid the main pro-union campaign, Better Together (BT), in the online battle. This article addresses this discrepancy by exploring how YS and BT used social media affordances in order to legitimize their own and de-legitimize their opponents’ positions. The material consists of multimodal tweets published by YS and BT in the run-up to the referendum. The article employs a model for multimodal legitimation that takes into consideration the construction of authority, moral evaluation and the construction and justifications of means and goals. The findings show that both campaigns made extensive use of de-legitimating strategies, although YS was more balanced. The article also shows that the campaigns’ communicative choices had implications for the construction and justification of goals and means, with YS running a more visionary campaign than BT.

To score and to protect? Big data (and privacy) meet SME credit risk in the UK

2017 ◽  
Vol 7 (1) ◽  
pp. 48-69
Author(s):  
Jane Marriott ◽  
Gavin Robinson
Keyword(s):  
Big Data ◽  
Credit Risk ◽  
The Uk

scholarly journals “Data makes the story come to life.” Understanding the ethical and legal implications of Big Data research involving ethnic minority healthcare workers: a qualitative study

2021 ◽  
Author(s):  
Edward S. Dove ◽  
Ruby Reed-Berendt ◽  
Manish Pareek
Keyword(s):  
Public Health ◽  
Big Data ◽  
Ethnic Minority ◽  
Health Research ◽  
Healthcare Workers ◽  
Minority Groups ◽  
Significant Implication ◽  
Structured Interviews ◽  
Increased Risk ◽  
The Uk

The aim of UK-REACH (“The United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers”) is to understand if, how, and why healthcare workers (HCWs) in the UK from ethnic minority groups are at increased risk of poor outcomes from COVID-19. In this article, we present findings from Work Package 3, the ethico-legal stream, which undertook qualitative research seeking to understand and address legal, ethical, and social acceptability issues around data protection, privacy, and information governance associated with the linkage of HCWs’ registration data and healthcare data. We interviewed 22 key opinion leaders in healthcare and health research from across the UK in two-to-one semi-structured interviews. Transcripts were manually coded using qualitative thematic analysis. Participants told us that a significant implication across all stages of Big Data research in public health are drivers of mistrust – of the research itself, research staff and funders, and broader concerns of mistrust within participant communities, particularly in the context of COVID-19 and those situated in more marginalised community settings. However, despite the challenges, participants also identified ways in which legally compliant and ethically informed approaches to research can be crafted to mitigate or overcome mistrust and establish confidence in Big Data public health research. Overall, our research indicates that a “Big Data Ethics by Design” approach can help assure 1) that meaningful engagement is taking place and that extant challenges are addressed, and 2) that any new challenges or hitherto unknown unknowns can be rapidly and properly considered to ensure potential (but material) harms are identified and minimised where necessary. Our findings indicate such an approach, in turn, will help drive better scientific breakthroughs that translate into medical innovations and effective public health interventions, which benefit the publics studied.

scholarly journals Predictive Big Data Analytics using the UK Biobank Data

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yiwang Zhou ◽  
Lu Zhao ◽  
Nina Zhou ◽  
Yi Zhao ◽  
Simeone Marino ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Uk Biobank ◽  
The Uk

Modern research methods: Opportunity knocks

2017 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Imran Alvi
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Financial Crisis ◽  
Case Studies ◽  
Research Methods ◽  
Complex Environment ◽  
National Institutions ◽  
Key Drivers ◽  
The Uk

As economists are working in an increasing complex environment, it is natural that they take advantage of a wider and more advanced set of tools and skills to deliver meaningful solutions. The financial crisis and the advent of big data have been two key drivers in this direction. Through examination of case studies from the UK, research methods are found to be of key importance in addressing the complexity of today's pressing economic questions. Considerable opportunities present themselves to higher education and national institutions that are able to master the application of up-to-date research methods.

Sign in / Sign up

Export Citation Format

Share Document