This paper introduces a method, Exhibit Based Research (EBR), in which we deploy standalone gallery exhibits as a central component of our research program. We adopt this method to distill complex visual research problems and problematize technological affordances. In the two case studies outlined in this paper, we deploy this method to articulate the role played by algorithms in processes of inspiration, design, and curation. EBR includes a practice-based component, the co-design of an exhibit, a participant engagement component, and interactive, multimodal data collection. The EBR approach creates a dynamic engagement between the public, academia, and creatives, increasing the relevancy of findings across audiences and advancing public understandings. This methodological paper aims to encourage other researchers in the community to consider EBR as an inclusive, immediate, and effective means of revealing opaque concepts and mechanisms via exhibition design.

Social prescribing is a non-clinical approach to addressing social, environmental, and economic factors affecting how people feel physical and/or emotionally. It involves connecting people to "community assets" (e.g., local groups, organizations, and charities) that can contribute to positive well-being. We sought to explain in what ways, for whom, and why the cultural sector can support social prescribing with older people. We conducted semi-structured interviews with 28 older people (aged 60+) and 25 cultural sector staff. The following nine concepts, developed from interview data, progressed the understanding of tailoring cultural offers, which came from our previous realist review-immersion, buddying, café culture, capacity, emotional involvement, perseverance, autonomy, elitism, and virtual cultural offers. Through tailoring, we propose that older people might experience one or more of the following benefits from engaging with a cultural offer as part of social prescribing-being immersed, psychological holding, connecting, and transforming through self-growth.

This article asks what we can learn about the role of technology as a tool of resistance in a post-conflict society by examining a case study of a museum under construction, and in the shadow of a still- unresolved conflict. We show how the virtual staging of the Centro Nacional de Memoria Historica in Colombia has been crucial to its success in challenging more recent political events and in crafting national memory narratives during a period of fragile peacebuilding. We analyse a series of technologically mediated provocations and interventions mobilised by the Centro Nacional de Memoria Historica in order to show how digital tools and media enabled the museum to commence its storytelling at a time of ongoing tension and dissensus. We argue that despite, or perhaps because of, the limitations of digital technologies in a predominantly rural country, these have proven a key tool in building a historical narrative around the Colombian conflict and in managing the tensions inherent in a fragile peacebuilding process. In this case study, we draw parallels between transitional justice initiatives and ongoing decolonial activities in museums, in order to reflect on the ways in which the use of technology might disrupt hegemonic narratives and traditional mnemonic practices and hierarchies.

English Heritage is a charity that manages over 400 historic sites in the UK, from prehistoric sites to medieval castles, most of them free, non-ticketed, and unstaffed. As such, there is little information about visitor attendance and behaviour in those sites---a challenge common to other non-ticketed heritage sites. In this context, image-based social media such as Instagram appear as a possible solution, as photographs are often central to the tourist experience, and tourists present their imagined audiences with a self-narrative of their trip. Therefore, this study aims to improve our understanding of tourist behaviour in unstaffed heritage sites by analysing publicly available Instagram data. We collect posts on unstaffed English Heritage sites, finding that posting activity concentrates at a few sites. Focusing on 3,979 images each for the top five sites, we analyse image content using pre-trained object detection models. Besides off-the-shelf inference, we fine-tune a model to identify structures from particular heritage sites, and are able to describe the types of photographs taken by visitors in each site, supporting the notion of tourists as performers with the site serving as backdrop. Overall, this study demonstrates a methodology for understanding cultural behaviour at heritage sites using images from social media posts. In addition to recovering the otherwise lost connection between a heritage organisation and its visitors, our methodology can be readily extended to other tourist destinations to understand how visitors interact with and relate to these sites and the objects within them through their photographs.

Older people's well-being can be bolstered by engaging with cultural activities and venues. They may be encouraged to try cultural offers by a link worker as part of social prescribing. However, the cultural sector, like all parts of life, was affected by the COVID-19 pandemic; this has had implications for cultural offers available to link workers. A study was conducted to explore the views and experiences of link workers in using the cultural sector within social prescribing, particularly for older people (aged 60+) during the pandemic. An online questionnaire was distributed to and completed by link workers in the UK. Data were analysed mainly using descriptive statistics. Open text responses were clustered into similar ideas to create key concepts. Useable responses were received from 148 link workers. They highlighted a general lack of interaction between link workers and the cultural sector about how the latter could support social prescribing. Results suggested that personal familiarity with cultural offers might prompt link workers to refer to them. Some respondents proposed that cultural offers were regarded as elitist, which deterred them from referring there. However, there was a general acknowledgement that the cultural sector could contribute to social prescribing. Link workers need to regard the cultural sector as accessible, appropriate, adequate, affordable and available before referring older people to cultural offers as part of social prescribing. Link workers may benefit from becoming more familiar with cultural sector staff and offers, including online resources, so they can then propose them to patients with confidence.

Background Non-medical issues (e.g. loneliness, financial concerns, housing problems) can shape how people feel physically and psychologically. This has been emphasised during the Covid-19 pandemic, especially for older people. Social prescribing is proposed as a means of addressing non-medical issues, which can include drawing on support offered by the cultural sector. Method A rapid realist review was conducted to explore how the cultural sector (in particular public/curated gardens, libraries and museums), as part of social prescribing, can support the holistic well-being of older people under conditions imposed by the pandemic. An initial programme theory was developed from our existing knowledge and discussions with cultural sector staff. It informed searches on databases and within the grey literature for relevant documents, which were screened against the review's inclusion criteria. Data were extracted from these documents to develop context-mechanism-outcome configurations (CMOCs). We used the CMOCs to refine our initial programme theory. Results Data were extracted from 42 documents. CMOCs developed from these documents highlighted the importance of tailoring-shaping support available through the cultural sector to the needs and expectations of older people-through messaging, matching, monitoring and partnerships. Tailoring can help to secure benefits that older people may derive from engaging with a cultural offer-being distracted (absorbed in an activity) or psychologically held, making connections or transforming through self-growth. We explored the idea of tailoring in more detail by considering it in relation to Social Exchange Theory. Conclusions Tailoring cultural offers to the variety of conditions and circumstances encountered in later life, and to changes in social circumstances (e.g. a global pandemic), is central to social prescribing for older people involving the cultural sector. Adaptations should be directed towards achieving key benefits for older people who have reported feeling lonely, anxious and unwell during the pandemic and recovery from it.

Abstract This chapter examines material published in the field of digital humanities in 2020. It begins with an article in Digital Humanities Quarterly by a group of early-career scholars taking a novel approach to understanding the field, using topic modelling to query a dataset of definitions of digital humanities. The article brings into focus the proliferation of texts in this area, and the extent to which this ongoing discourse impinges on those, particularly early-career, scholars seeking to enter the field. It also observes the upsurge in writing about the lack of diversity and inclusion in the digital humanities, making the arrival of Catherine D’Ignazio and Lauren F. Klein’s Data Feminism all the more welcome. This hugely important text offers an intersectional approach to the study of historical and contemporary social and cultural data, urging scholars to take up their seven principles for uncovering the ways in which power can be uncovered, examined, analysed, and challenged. They offer a vision of what data justice could look like in theory and in practice. Richard Jean So’s Redlining Culture: A Data History of Racial Inequality and Postwar Fiction takes just such an approach to the analysis of literary culture in post-war America. Using an incisive combination of data science and traditional literary scholarly methods, So paints a compelling picture of the persistence of whiteness in literary culture, analysing the whole cycle of literary production to uncover the ways in which power moves through the system.

Wikipedia is one of the largest platforms based on the concept of asynchronous, distributed, collaborative work. A systematic collaborative exploration and assessment of Wikipedia content and coverage is however still largely missing. On the one hand editors routinely perform quality and coverage control of individual articles, while on the other hand academic research on Wikipedia is mostly focused on global issues, and only sporadically on local assessment. In this paper, we argue that collaborative visualizations have the potential to fill this gap, affording editors to collaboratively explore and analyse patterns in Wikipedia content, at different scales. We illustrate how a collaborative visualization service can be an effective tool for editors to create, edit, and discuss public visualizations of Wikipedia data. Combined with the large Wikipedia user-base, and its diverse local knowledge, this could result in a large-scale collection of evidence for critique and activism, and the potential to enhance the quantity and quality of Wikipedia content.

This chapter examines material published in the field of digital humanities in 2019. Key work published this year has grappled with longstanding conflicts at the heart of the field, on whether and how computational methods should be applied to humanities data, and who should validate such methodologies. The chapter begins with new work by Ted Underwood, who makes the case for hypothesis-driven methods and the modelling of humanities data. It discusses how recent work in computational literary studies had appeared to resist the trap into which much previous work had fallen, that is, work that was perceived to fall into the binaries of distant vs. close reading, computation vs. engagement, objectivity vs. subjectivity. The continued friction over the appropriateness of certain computational methodological approaches was amplified by new work that called into question the statistical methods of a number of key works in the field over past years. Nan Z. Da’s critique of computational literary studies through the lens of statistical rigour imploded the uneasy truce between computational methods and the more traditional questions and methods at the heart of literary studies. Da’s article reopens the debate about how digital humanities scholars use statistical methods, and how greater reliance on such methods may demand greater cross-disciplinary oversight to ensure that they are used in a way that is both robust and appropriate. Her contribution is examined alongside the rash of responses to it from key scholars in the field which produced an important snapshot of the fractures and fundamentals of data-driven literary studies. I then turn to new and timely work by James E. Dobson, which argues for a third way, a Critical Digital Humanities that engages critically with computational as well as humanistic scholarship. I survey important contributions on the impact of mass digitization, historicism and the archive, and how to study history in the age of digital archives and the historic web. Ian Milligan’s work provides a much-needed introduction to the potentials and pitfalls of studying recent history through the digital traces left behind. It self-consciously identifies areas in which greater cross-disciplinary scholarship and critical engagement will be needed as this area of study matures. Discussion then turns to work by Nanna Bonde Thylstrup on digital waste, which shows how connecting new media theory to waste studies can provide an important frame through which to examine issues of data toxicity and pollution. This work sets the stage for two landmark books on sex and race which implore us to take a more careful look at the toxic technologies we build and the questions we ask of them. Both Caroline Criado Perez and Ruha Benjamin examine the damage done by the reliance of data systems on the ‘default’, frequently a white male, forcing us to see anything that departs from this norm as deviant. These works make a powerful case for reinventing the systems we increasingly rely on, questioning the underlying prejudice that created them, and rethinking the modes of meaning-making ascribed to them, especially when that narrative so often assumes a benign neutrality. Finally, I examine these works alongside a new volume of essays on digital humanities and intersectionality edited by Barbara Bordalejo and Roopika Risam, which serves to amplify and contextualize the need for the approaches taken by Criado Perez and Benjamin, showing how deeply enmeshed within the field these power structures are.

The Everyday Sexism Project documents everyday examples of sexism reported by volunteer contributors from all around the world. It collected 100,000 entries in 13+ languages within the first 3 years of its existence. The content of reports in various languages submitted to Everyday Sexism is a valuable source of crowdsourced information with great potential for feminist and gender studies. In this paper, we take a computational approach to analyze the content of reports. We use topic-modelling techniques to extract emerging topics and concepts from the reports, and to map the semantic relations between those topics. The resulting picture closely resembles and adds to that arrived at through qualitative analysis, showing that this form of topic modeling could be useful for sifting through datasets that had not previously been subject to any analysis. More precisely, we come up with a map of topics for two different resolutions of our topic model and discuss the connection between the identified topics. In the low-resolution picture, for instance, we found Public space/Street, Online, Work related/Office, Transport, School, Media harassment, and Domestic abuse. Among these, the strongest connection is between Public space/Street harassment and Domestic abuse and sexism in personal relationships. The strength of the relationships between topics illustrates the fluid and ubiquitous nature of sexism, with no single experience being unrelated to another.

Although considerable effort and expense has gone into digitising content in the humanities, there is a lack of data about the actual uses and impacts these digitised resources are having on scholarship and on the public. In this paper, we report on a study completed in 2009 that examined five digitisation projects using a variety of measures to ascertain a nuanced picture of the usage and impact not only of those five projects, but also of digitised material in general. The paper focuses on the qualitative results obtained through interviews and focus groups to draw a picture of the ways in which digitised scholarly resources are having an impact. The paper concludes with the recommendations that the project made to JISC based on the research.

Adequate broadband access is necessary for business development & efficiency, social support, delivery of health and government services, leisure, consumption, employment, and educational services (Townsend et al., 2013). Although broadband is available to nearly all UK homes and commercial properties, there is a considerable disparity in the quality of access across the UK. Variations are most evident between urban and rural areas: the more remote and sparsely populated a location, the more likely it is to experience slow connectivity. On the basis of a range of qualitative methods, our study will explore how the boundary of very limited broadband speed affects the daily lives of rural Internet users. We will investigate how people work around the constraints and whether they opt for alternative technologies to get online. Due to a counter-urbanization process (wealthier people move to the countryside in pursuit of a higher quality of life) there are rather mixed populations in rural areas, which can be both relatively rich and relatively poor.

The paper studies the transition to ICT-based support systems for scientific research. These systems currently attempt the transition from the project stage to the more permanent stage of an infrastructure. The transition leads to several challenges, including in the area of establishing adequate governance regimes, which not all projects master successfully. Studying a set of cases from Europe and America, we look at patterns in the size and scope of the undertakings, embeddedness in user communities, aims and responsibilities, mechanisms of coordination, forms of governance, and time horizon and funding. We find that, though configurations and landscapes are somewhat diverse, successful projects typically follow distinctive paths, either large-scale or small-scale, and become what we term ‘stable metaorganizations’ or ‘established communities.’

PurposeWebometric studies, using hyperlinks between websites as the basic data type, have been used to assess academic networks, the “impact factor” of academic communications and to analyse the impact of online digital libraries, and the impact of digital scholarly images. This study aims to be the first to use these methods to trace the impact, or success, of digitised scholarly resources in the Humanities. Running alongside a number of other methods of measuring impact online, the webometric study described here also aims to assess whether it is possible to measure a resource's impact using webometric analysis.Design/methodology/approachLink data were collected for five target project sites and a range of comparator sites.FindingsThe results show that digitised resources online can leave traces that can be identified and used to assess their impact. Where digitised resources are situated on shifting URLs, or amalgamated into larger online resources, their impact is difficult to measure with these methods, however.Originality/valueThis study is the first to use webometric methods to probe the impact of digitised scholarly resources in the Humanities.

1 Introduction and objectives e-Infrastructure plays a pivotal role in the research landscape of today and fosters the creation of global virtual research communities. This study researches a variety of types of einfrastructure, their state of development and their role in supporting productive research in Europe and beyond.The field of e-Infrastructure is very heterogeneous. It ranges from the physical supply of research networks (a prominent example being the operating and development of the backbone as supplied by GEANT) to providing access to data for virtual research communities in single fields. e-Infrastructures include organisations and services as diverse as national and international multi-purpose grids, supercomputer infrastructure, data grids and repositories, tools for visualization, simulation, data management, storage, analysis and collection, tools for support with regard to methods or analysis as well as remote access to research instruments and very large research facilities.

Gender & HistoryVolume 22, Issue 1 p. 228-230 Her Oxford by Judy G. Batson KATHRYN ECCLES, KATHRYN ECCLES Oxford Internet Institute, University of Oxford, UKSearch for more papers by this author KATHRYN ECCLES, KATHRYN ECCLES Oxford Internet Institute, University of Oxford, UKSearch for more papers by this author First published: 15 March 2010 https://doi.org/10.1111/j.1468-0424.2009.01587_20.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume22, Issue1April 2010Pages 228-230 RelatedInformation