Growing Up in Scotland: Cohort 1: Sweep 1, 2005-2006: Special Licence Access

Abstract copyright UK Data Service and data collection copyright owner.The Growing Up in Scotland (GUS) study is a large-scale longitudinal social survey which follows the lives of several groups of Scottish children from infancy through childhood and adolescence. It aims to provide important information on children, young people and their families in Scotland. The study forms a central part of the Scottish Government's strategy for the long-term monitoring and evaluation of its policies for children and young people, with a specific focus on the early years. The study seeks both to describe the characteristics, circumstances and experiences of children in their early years in Scotland and, through its longitudinal design, to generate a better understanding of how children's start in life can shape their longer term prospects and developmentSince 2005 fieldwork has been undertaken by the Scottish Centre for Social Research. The survey design for Birth Cohort 1 consisted of recruiting the parents of an initial total of 5,217 children aged 10 months old in 2005 and interviewing them annually until their child reached age six. Further fieldwork was then undertaken at ages 8, 10, 12, 14 and 17-18 with a sample boost added at age 12.Data for sweeps 1-9 were collected via an in-home, face-to-face interview with self-complete sections. Fieldwork for sweep 10 was disrupted due to the COVID pandemic. As a result, the final portion of the data was collected via web and telephone questionnaires. Sweep 11 data were gathered via web, telephone and face-to-face surveys of cohort members and their parent/carer.Further information about the survey may be found on the&nbsp;Growing Up in Scotland&nbsp;website.In May 20205, data and documentation for Cohort 1, Sweeps 1-11 were released as individual studies (SNs 9373-9383 and 9386-9387). Previously they were held under one study (SN 5760) which has been withdrawn from the data catalogue.Main Topics:The questionnaire covered the following topics:household information&nbsp;non-resident parents and non-resident children&nbsp;the pregnancy and birththe first few monthscurrent situationparental supportparenting styles and activitiesparenting responsibilitieschildcarechild health and development&nbsp;self-completion section&nbsp;own employment, income and education&nbsp;partner's employment, income and education&nbsp;accommodationA topic overview&nbsp;covering all sweeps, is available on the GUS website.</div

Designing for Healthy Cognitive Ageing Project: Professional Perspectives on Housing Data, 2021-2023

The aim of the data collection was to ascertain the views of professionals in the housing field about designing homes for healthy cognitive ageing. 22 professional were included in the study, recruited by snowball sampling. The data archive holds transcripts of 19 interviews with professionals in the housing field about their views on and experiences of designing homes for healthy cognitive ageing. One of these is a group interview with four participants. The archive also include an information sheet and consent form for participants and a topic guide for the interviews.As we age, many of us will experience cognitive changes, and for some of us, these will develop into dementia. We know that people's homes can make the experience of cognitive changes more difficult, or can enable continuing inclusion and sense of self-worth and self-esteem. DesHCA worked with people experiencing ageing and cognitive change and those who design and develop housing. DesHCA identified housing innovations that can support living better for longer with cognitive change. Our emphasis on healthy cognitive ageing goes beyond narrow conceptions of 'dementia-friendly design' into a more expansive and inclusive approach to housing innovation. The multidisciplinary DesHCA team involved stakeholders from all areas of housing provision, including people experiencing ageing and cognitive change, architects and designers, housing experts, planners, builders and housing providers. Older people were integral to DesHCA and their health was at its heart. The project designed homes that act as demonstrators and test-beds for innovations to support healthy cognitive ageing. These designs have been developed and evaluated from stakeholder points of view, then considered at a larger scale to examine their real-world feasibility. DesHCA is feeding directly into the UK and Scottish Government City Region Deal for Central Scotland (Stirling and Clackmannanshire), providing groundwork for local housing developments. The focus of this is sustainable, lifetime health, community and economic development, addressing deprivation and inequality. To achieve these aims, DesHCA took a co-production approach, with the whole team working to identify innovations that engage with their real-world experiences and aspirations. We used a range of data collection methods and produced analyses informed the design of the demonstrator houses. These designs evolved as stakeholders interacted with them and provided feedback from their different points of view. To collect data, we asked older people to map and evaluate their own homes and to experience and comment on new design features using virtual reality (VR). They then collaborated with builders, architects and housing providers in VR workshops to identify practical, realistic and affordable designs that can support healthy cognitive ageing, and therefore longer healthy, independent life. Partners came together in interactive workshops to convert designs into plans within a fictional town, building and retrofitting homes, creating services and managing budgets. We demonstrated how designs can work out in the real world, and how to bring together the various interests involved. Throughout, issues of costs were considered, to inform business planning and help make decisions on implementation of the new designs. The impact of DesHCA is achieved through showing what works in housing design for healthy cognitive ageing. Immediately, DesHCA will feed into the City Region Deal and longer term we will provide tools for future developers to inform their decisions about housing for healthy cognitive ageing. Throughout the project, disseminate findings were distributed to the housing, architecture and building sectors through stakeholder networks. We have published rigorous research findings to provide a peer reviewed, high quality research base for innovation. Thus the project goes beyond recommendations and guidance to provide evidence to support delivery at scale, grounded in the co-production approach that draws on the real experience, interests and imperatives that drive different stakeholders. DesHCA's multidisciplinary team built capacity among early career researchers in research leadership, working across disciplines such as architecture and planning, economics, sociology and across sectors with a range of different industrial and professional stakeholders, such as housing workers, planners and construction companies.</p

Designing for Healthy Cognitive Ageing Project: Workplace Ethnographies Data, 2022-2023

The DesHCA research aimed to develop designs for homes that could support people as they age, including if they develop cognitive, physical and/or sensory challenges. As part of this effort, an understanding of the perspectives and experiences of professionals involved in delivering such homes was important, particularly to consider the challenges and facilitators in the process. To gain an authentic, immersive understanding of this, an ethnographic approach was used in housing provider/developer organisations. The ethnographies aimed to observe home developments in action, and the interactions of those involved, particularly how they facilitated or constrained home design. Three workplace topic-oriented ethnographies were conducted, to examine the interactive processes involved in delivering projects producing age and cognitively supportive housing. Three researchers studied each of the sites, observing interactions and interviewing a small number of key individuals, spending time within the organisations and observing work practices and interactions in real time. The archived data includes fieldnotes and transcribed interviews.As we age, many of us will experience cognitive changes, and for some of us, these will develop into dementia. We know that people's homes can make the experience of cognitive changes more difficult, or can enable continuing inclusion and sense of self-worth and self-esteem. DesHCA worked with people experiencing ageing and cognitive change and those who design and develop housing. DesHCA identified housing innovations that can support living better for longer with cognitive change. Our emphasis on healthy cognitive ageing goes beyond narrow conceptions of 'dementia-friendly design' into a more expansive and inclusive approach to housing innovation. The multidisciplinary DesHCA team involved stakeholders from all areas of housing provision, including people experiencing ageing and cognitive change, architects and designers, housing experts, planners, builders and housing providers. Older people were integral to DesHCA and their health was at its heart. The project designed homes that act as demonstrators and test-beds for innovations to support healthy cognitive ageing. These designs have been developed and evaluated from stakeholder points of view, then considered at a larger scale to examine their real-world feasibility. DesHCA is feeding directly into the UK and Scottish Government City Region Deal for Central Scotland (Stirling and Clackmannanshire), providing groundwork for local housing developments. The focus of this is sustainable, lifetime health, community and economic development, addressing deprivation and inequality. To achieve these aims, DesHCA took a co-production approach, with the whole team working to identify innovations that engage with their real-world experiences and aspirations. We used a range of data collection methods and produced analyses informed the design of the demonstrator houses. These designs evolved as stakeholders interacted with them and provided feedback from their different points of view. To collect data, we asked older people to map and evaluate their own homes and to experience and comment on new design features using virtual reality (VR). They then collaborated with builders, architects and housing providers in VR workshops to identify practical, realistic and affordable designs that can support healthy cognitive ageing, and therefore longer healthy, independent life. Partners came together in interactive workshops to convert designs into plans within a fictional town, building and retrofitting homes, creating services and managing budgets. We demonstrated how designs can work out in the real world, and how to bring together the various interests involved. Throughout, issues of costs were considered, to inform business planning and help make decisions on implementation of the new designs. The impact of DesHCA is achieved through showing what works in housing design for healthy cognitive ageing. Immediately, DesHCA will feed into the City Region Deal and longer term we will provide tools for future developers to inform their decisions about housing for healthy cognitive ageing. Throughout the project, disseminate findings were distributed to the housing, architecture and building sectors through stakeholder networks. We have published rigorous research findings to provide a peer reviewed, high quality research base for innovation. Thus the project goes beyond recommendations and guidance to provide evidence to support delivery at scale, grounded in the co-production approach that draws on the real experience, interests and imperatives that drive different stakeholders. DesHCA's multidisciplinary team built capacity among early career researchers in research leadership, working across disciplines such as architecture and planning, economics, sociology and across sectors with a range of different industrial and professional stakeholders, such as housing workers, planners and construction companies.</p

English Housing Survey, 2023: Housing Stock Data

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods.&nbsp;The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. Safeguarded and Special Licence Versions: From 2014 data onwards, the Safeguarded versions (previously known as End User Licence (EUL)) of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. SN 9441 - English Housing Survey, 2023: Housing Stock Data contains data from the households who have taken part in both the interview and physical surveys, as well as physical survey data on a random sample of vacant dwellings identified by the interviewer. The data from the interview survey only are available under SN 9442 - English Housing Survey, 2023-2024: Household Data.Main Topics:The EHS Housing survey consists of two components.Interview survey on the participating household -&nbsp;An interview is first conducted with the householder. The interview topics include: household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. All interviewees are guaranteed confidentiality and all data are anonymised.Physical survey on the housing stock -&nbsp;A visual inspection of both the interior and exterior of the dwelling is carried out by a qualified surveyor to assess the condition and energy efficiency of the dwelling.&nbsp; Topics covered include whether the dwelling meets the Decent Homes Standard; cost to make the dwelling decent; existence of damp and &nbsp;Category 1 Hazards as measured by the Housing Health and Safety Rating System (HHSRS); Energy Efficiency Rating. The physical survey is carried out on the dwelling of a sub-sample of the participants of the interview survey.&nbsp; The sub-sample consists of the dwelling of participants living in private or social&nbsp;rented properties and a sub-sample of those in owner occupied properties. A proportion of the dwellings found to be vacant during the interview survey are also included in the physical survey.</p

Survey of Moto-taxi Riders in Kampala, Uganda, 2022

Survey data from 334 moto-taxi riders in Kampala, Uganda, generated using computer-assisted personal interviewing (CAPI) software between January and February 2022. Content includes: respondents' backgrounds and employment histories; means of motorcycle access; incomes and expenditures; working conditions; experiences of digital (ride-hail) work; interactions with law enforcers; and perceptions of politics and governance.Doctoral research carried out at the London School of Economics, which looked at the rise of new digital and financial technologies in Uganda's moto-taxi sector over the past decade. Focusing primarily on digital ride-hailing platforms, the study examined the ways in which 'platformisation' has reshaped work, livelihoods and politics in the sector, whilst also underlining the limits of such a process in transforming pre-existing systems of labour informality. Data collection for this study involved in-depth interviews with 112 respondents, a survey of 370 moto-taxi riders (deposited here), and six months' worth of in-person observations and 'ride-alongs'.</p

Northern Ireland Life and Times Survey, 2024

Abstract copyright UK Data Service and data collection copyright owner.The Northern Ireland Life and Times Survey (NILT) series began in 1998, and was the successor to the previous Northern Ireland Social Attitudes series, which was discontinued in 1996.The main aims of the NILT series are: to monitor public attitudes towards social policy and political issues in Northern Ireland; to provide a time series on attitudes to key social policy areas; to facilitate academic social policy analysis; to provide a freely available resource on public attitudes for the wider community of users in Northern Ireland. NILT originally had a companion series which also began in 1998, the Young Life and Times Survey (YLT), although the YLT methodology changed in 2003 and it is conducted separately each year. The Kids' Life and Times (KLT) survey of P7 children (10-11 year olds) is also part of the same suite of surveys as YLT and NILT.NILT also forms part of the International Social Survey Programme (ISSP), although it does not do so every year. Unfortunately, NILT did not run in 2011 due to funding issues, though YLT ran as normal that year; NILT resumed in 2012 (SN 7408). In addition, several open access teaching datasets were created by ARK (Access Research Knowledge) from various years of NILT, covering different topics such as Lesbian, Gay, Bisexual and Transgender (LGBT) issues, politics and community relations, attitudes to ageing and ageism, and dementia. Further information about the series may be found on the ARK NILT webpage.NILT 2024 From 1998 to 2000, NILT surveys were undertaken as a face-to-face interview, followed by a short self-completion questionnaire. However, due to the COVID-19 pandemic, the survey has since been undertaken online. Respondents could also request to complete the survey via a phone interview if they desired.Main Topics:Public attitudes to range of social policy issues:Adult safeguardingClimate changeCommunity/good relationsCriminal justice systemEducation, training and skillsGender-based violenceIncome and povertyMinority ethnic groupsPolitical attitudesRespectCommunity safety and perception of paramilitary influenceBackground demographic and socio-economic characteristics.</ul

Maladaptive Cognition in Depression, 2022

This project aims to improve our understanding of the maladaptive cognitions driving depressive symptoms. To gain a more mechanistic understanding of the neurocognitive bases of (mal)adaptive cognition, we will leverage computational models of behaviour. This overarching goal will be achieved by conceptualising maladaptive depressive cognition as maladaptive attributions. To test this we will measure: (a) biases in the attribution of positive and negative events to the self vs. external causes; (b) biases in the metacognitive evaluations of decision confidence and their potential misattribution to action-outcome learning. Using cutting-edge analysis methods, across online, clinical, and neuroimaging studies, this project will achieve the following objectives: 1. Clarify the neurocognitive mechanisms underlying adaptive attribution (of external events and of metacognitive signals), in healthy participants. 2. Identify behavioural markers of maladaptive attribution related to depressive symptoms in a non-clinical sample. 3. Test the specificity of markers of maladaptive attribution to depressive symptoms, relative to other common mental health problems. 4. Test the clinical relevance of markers of maladaptive attribution.CONTEXT Depression is the single leading cause of disability worldwide and a major public health problem. Even with the best treatments, around 30% of patients remain unwell, demonstrating the importance of improving our understanding of depression. Decades of research in clinical psychology suggests that vulnerability to depression is associated with negative cognitive styles, such as attributing negative events to stable and global causes, often blaming oneself, and maladaptive metacognitive beliefs (about one's own cognitive processes), such as low self-confidence. These biases are a focus of psychological therapies such as cognitive behavioural therapy (CBT), but the assessment of maladaptive depressive cognition is limited by imprecise measurement, relying on introspection and self-report. AIMS AND OBJECTIVES This project aims to improve our understanding of the maladaptive cognitions driving depressive symptoms. To gain a more mechanistic understanding of the neurocognitive bases of (mal)adaptive cognition, we will leverage computational models of behaviour. This overarching goal will be achieved by conceptualising maladaptive depressive cognition as maladaptive attributions. To test this we will measure: (a) biases in the attribution of positive and negative events to the self vs. external causes; (b) biases in the metacognitive evaluations of decision confidence and their potential misattribution to action-outcome learning. Using cutting-edge analysis methods, across online, clinical, and neuroimaging studies, this project will achieve the following objectives: 1. Clarify the neurocognitive mechanisms underlying adaptive attribution (of external events and of metacognitive signals), in healthy participants. 2. Identify behavioural markers of maladaptive attribution related to depressive symptoms in a non-clinical sample. 3. Test the specificity of markers of maladaptive attribution to depressive symptoms, relative to other common mental health problems. 4. Test the clinical relevance of markers of maladaptive attribution. POTENTIAL APPLICATIONS AND BENEFITS Improving our understanding of the mechanisms that drive maladaptive cognition in depression, and underpin attributional processes in healthy participants, will constitute an important scientific contribution to the fields of clinical psychology and cognitive and computational neuroscience. Given the high societal cost of depression, this research is of high societal and clinical relevance. Disseminating our findings to the wider society will demonstrate how a better understanding of basic cognitive processes may translate to understanding everyday behaviour. Presenting our project and findings to people with mental health problems, including service users, will allow receiving their feedback on our experimental designs and findings, and help broaden the perspective for future research. The work will also be regularly disseminated to academic audiences, through publications and conferences, across the fields of psychology, neuroscience, and mental health. Engaging with clinical experts, by organising an interdisciplinary workshop, will help increase our clinical impact, establish novel collaborations, and receive expert feedback. Identifying behavioural and neural markers related to maladaptive cognition in depression offers a unique opportunity to develop novel tools that may subsequently help to refine differential diagnosis and improve treatment selection, as well as provide a foundation for the development of novel psychological interventions.</p

An Assessment of Food Systems Research Network for Africa Fellows’ Professional Experiences at Baseline, 2021

A dataset was created from responses to a baseline survey conducted to understand the professional experiences of FSNet-Africa fellows at the beginning of the FSNet-Africa Fellowship, which is part of an early career researcher development program. The survey specifically targeted 20 FSNet-Africa fellows from higher education institutions in Africa. Its objective was to understand the fellows' professional experiences in the following areas: networks and visibility, potential, skills development, performance improvement, and personal growth across eight dimensions of professional development. These dimensions include conducting integrated research, research data management, integrating gender in research, research ethics, monitoring and evaluation, disseminating research findings, and stakeholder engagement.The Food Systems Research Network for Africa (FSNet-Africa) will strengthen food systems research and its translation into implementable interventions in support of interrelated Sustainable Development Goals related to food systems in Africa (focusing on SDG2 - Zero Hunger). The network partners - University of Pretoria (UP) (ARUA-CoE in Food Security host), University of Leeds (UoL) (GCRF-AFRICAP host) and the Food, Agriculture and Natural Resources Policy Analysis Network (FANRPAN) (GCRF-AFRICAP partner) have been selected based on their track record of working together, strengths in food systems research and existing partnerships with food systems stakeholders. The major contribution of FSNet-Africa to addressing the challenge of SDG2 will be its focus on developing a new understanding of the African food systems through developing the FSNet-Africa Food Systems Framework and utilising systems-based methodologies to conduct research that enhances understanding of the components of the framework, the interactions between these components, and ultimately the leverage points for food system transformation. The latter will be implemented by an interdisciplinary cohort of early career research fellows (ECRF) who are supported in their research to identify (in dialogue with food systems stakeholders) and evaluate climate-smart, nutrition-sensitive, poverty-reducing interventions. FSNet-Africa will collaboratively produce context-relevant, interdisciplinary research through creating 2-year long structured opportunities for up to 30 ECRF, majority female, who obtained their PhD's less than 10 years ago to (i) conduct impact-focused, gender sensitive, interdisciplinary research related to African food systems, (ii) build lasting research networks, and (iii) develop their skills to translate their research impactfully. ECRF will be selected from 10 academic partner institutions in six countries - Ghana, Kenya, South Africa, Malawi, Tanzania and Zambia. The three formal components of the fellowships (science, mentorship and leadership development) will ensure that the ECRF are positioned in the necessary enabling environment and are provided with the opportunity to develop the necessary skills to produce excellent research, achieve the project objectives and significantly advance their academic careers. During the fellowship, each fellow will be assigned at least two mentors - one from an African university and the other from the UK. These research-triads will be carefully matched to ensure that the triad is an interdisciplinary team, enabling the ECRF to receive the support they need to develop and implement quality interdisciplinary research projects. The Science Component of the fellowship will be comprised of a fellowship orientation workshop, funding for research, participation in a split-site winter/summer school and a write-shop. After attending an Orientation Workshop with their mentors, ECRF will be expected to develop their research proposals that focus on climate-smart, nutrition-sensitive and poverty-reducing food systems solutions. Six months later, a 10-week split-site winter/summer school (at UP's Future Africa Campus and at the University of Leeds) will provide the ECRF with the opportunity to finalise their research proposals for implementation and to participate in various capacity development workshops. The Leadership Component will give ECRF the opportunity to develop skills the skills they need to be future food systems science leaders - such as managing research teams and leadership in science-policy communication. As a mechanism to facilitate research uptake and impact, every project undertaken by the ECRF will be co-designed and implemented in partnership with relevant policymakers, private sector role players or grassroots level organisations who will engage directly with the research teams at the Orientation Workshop, during the Winter School and in-country to implement the research.</p

New Arenas for Civic Expansion: Humans, Animals and Artificial Intelligence, 2020-2024

This project involved cross-national qualitative research which explored what factors shape individualism, and human and non-human relations in civil society, with reference to animal rights and welfare, and artificial intelligence. Interviews were carried out to explore the framing of animal rights and animal welfare in Civil Society Organisations’ advocacy and campaigning materials in order to understand how they express and reflect civil society views on animal rights and animal welfare. We specifically explored how they seek to recast and challenge traditional conceptions of civil society to take fuller account of human and non-human relations. For animal rights and artificial intelligence, interviews were conducted in Civil Society Organisations in the United Kingdom. Further interviews were conducted on animal rights in Non-Governmental Organisations in India.WISERD celebrates its 10th anniversary this year. Over time it has grown into an international research institute that develops the next generation of research leaders. Our research brings together different disciplines (geographers, economists, sociologists, data scientists, political scientists) to address important issues for civil society at national and international levels. Our social science core provides a strong foundation for working with other disciplines including environmental science, engineering and medicine to transform our understanding and approaches to key areas of public concern. Our aim is to provide evidence that informs and changes policy and practice. This Centre will build on all previous WISERD research activities to undertake an ambitious new research programme. Our focus will be on the concept of civic stratification. This is a way of looking at divisions in society by focusing on the rights and obligations and practices of citizens and the role of civil society organisations in addressing inequalities in those rights and obligations. We will examine and analyse instances where people do not have the same rights as others (for example people who are migrants or refugees). We will also look at examples of people and groups working together within civil society to win new rights; this is referred to as civic expansion. Examples might include campaigns for animal rights or concerns about robots and Artificial Intelligence. We will investigate situations where people have the same rights but experience differences in their ability to access those rights; sometimes referred to as civic gain and civic loss (for example some people are better able to access legal services than others). Lastly, we will explore how individuals and groups come together to overcome deficits in their rights and citizenship; sometimes referred to as forms of civil repair. This might include ways in which people are looking at alternative forms of economic organisation, at local sustainability and at using new technologies (platforms and software) to organise and campaign for their rights. Our centre will deliver across four key areas of activity. First our research programme will focus on themes that address the different aspects of civic stratification. We will examine trends in polarization of economic, political and social rights, looking at how campaigns for rights are changing and undertaking case studies of attempts to repair the fabric of civil life. Second, we will extend and deepen our international and civil society research partnerships and networks and by doing so strengthen our foundations for developing further joint research in the future. Third, we will implement an exciting and accessible 'knowledge exchange' programme to enable our research and evidence to reach, involve and influence as many people as possible. Fourth, we will expand the capacity of social science research and nurture future research leaders. All our research projects will be jointly undertaken with key partners including civil society organisations, such as charities, and local communities. The research programme is broad and will include the collection of new data, the exploitation of existing data sources and linking existing sets of data. The data will range from local detailed studies to large cross-national comparisons. We will make the most of our skills and abilities to work with major RCUK research investments. We have an outstanding track record in maximising research impact, in applying a wide range of research methods to real world problems. This exciting and challenging research programme is based on a unique, long standing and supportive relationship between five core universities in Wales and our partnerships with universities and research institutes in the UK and internationally. It addresses priority areas identified by the ESRC and by governments and is informed by our continued close links with civil society organisations.</p

Digital Technology Adoption in UK Manufacturing Firms, 2024

This project investigates the factors that encourage or hinder digital technology adoption among UK manufacturing firms. Through interviews with industry stakeholders, the study found that efficiency, productivity, sustainability, and workforce development are key motivators for adopting digital tools such as predictive maintenance systems, real-time data analytics, and 3D modeling. These technologies enhance decision-making, reduce operational costs, and help firms meet environmental and regulatory demands. However, many manufacturers—particularly small and medium-sized enterprises—remain hesitant due to implementation risks, uncertain returns, and high costs of advanced systems. Challenges such as fragmented systems, security concerns, and insufficient post-adoption support further impede adoption.This project draws on the classic Bass innovation diffusion theory to develop a model that captures the diffusion processes of digital technologies within the UK manufacturing industry. To attain these objectives, this project conducted in interviews involving manufacturing enterprises, industry experts, and digital technology providers to understand the current barriers and enablers of digital technology adoption in UK manufacturing industry.</p