ESRC Review: Communities and Identities

Author(s):  
Simeon J. Yates ◽  
Jordana Blejmar ◽  
Bridgette Wessels ◽  
Claire Taylor

This chapter describes the analyses and results for the ESRC Domain of Communities and Identities, guided by two main questions: How do we define and authenticate ourselves in a digital age? What new forms of communities and work emerge as a result of digital technologies? The chapter first provides an initial overview of the major insights from the literature review and analysis, the Delphi surveys, and workshop discussions about the relevant range of the concepts of community and identity in a digital age. The resulting focus is primarily on more civic or political aspects of online communities and identities. Eight main topics emerged, including online community (including group), mobile phone, children, migration and diaspora, identity (psychology/social), gender, education, and friendship network. The analyses also highlighted theory, methods, and approaches in the literature. The review provides examples of literature in the project’s time period that illustrate these topics. The chapter ends with a discussion of future research directions (e.g., digital community exclusion and inclusion) and research challenges (e.g., the need to include history and culture in studies of online communities).

Author(s):  
Simeon J. Yates ◽  
Bridgette Wessels ◽  
Paul Hepburn ◽  
Alexander Frame ◽  
Vishanth Weerakkody

This chapter describes the analyses and results for the ESRC Domain of Citizenship and Politics, guided by two main questions: How digital technology impacts on our autonomy, agency, and privacy; Whether and how our understanding of citizenship is evolving in the digital age. It first provides an initial overview of the major insights from the literature review and analysis, the Delphi surveys, and workshop discussions about the relevant range of the concepts of citizenship and politics in a digital age. Over time the literature shows a shift from issues of public sphere and use of the Internet by government and candidates to more focus on political participation and engagement, especially through online communities, social networks, and social media. Eight main topics emerged: public sphere, measurement, social network analysis, protest and activism, governance, elections, cyber hate crime, and partisan politics. The analyses also highlighted theory, methods, and approaches in the literature. The review provides examples of literature in the project’s time period that illustrate these topics. The chapter ends with a discussion of considerable future research directions (e.g., mobilization and radicalization) and research challenges (e.g., managing big data, and ethical issues).


Leonardo ◽  
2012 ◽  
Vol 45 (5) ◽  
pp. 486-487 ◽  
Author(s):  
Almila Akdag Salah ◽  
Albert Ali Salah ◽  
Bart Buter ◽  
Nick Dijkshoorn ◽  
Davide Modolo ◽  
...  

deviantART is the largest online community of user-generated artworks. So far, a scholarly study of deviantART has been missing. The main goal of this paper is to describe several tools for the network analysis of this community and to propose future research directions for understanding this collaborative and autonomous art venue.


2020 ◽  
Author(s):  
Faisal Muhammad shah ◽  
Sajib Kumar Saha Joy ◽  
Farzad Ahmed ◽  
Mayeesha Humaira ◽  
Amit Saha Ami ◽  
...  

The outbreak of the COVID-19 pandemic caused the death of a large number of people. Millions ofpeople are infected by this virus and are still getting infected day by day. As the cost and required time ofconventional RT-PCR tests to detect COVID-19, researchers are trying to use medical images like X-Ray andComputed Tomography (CT) images to detect it with the help of Artificial Intelligence (AI) based systems. Inthis paper, we reviewed some of these newly emerging AI-based models that can detect COVID-19 frommedical images using X-Ray or CT of lung images. We collected information about available research resourcesand inspected a total of 80 papers from the time period of February 21, 2020 to June 20, 2020. We explored andanalyzed datasets, preprocessing techniques, segmentation, feature extraction, classification and experimentalresults which can be helpful for finding future research directions in the domain of automatic diagnosis ofCovid-19 disease using Artificial Intelligence (AI) based frameworks.


2017 ◽  
Vol 35 (3) ◽  
pp. 339-357 ◽  
Author(s):  
Geetika Varshneya ◽  
Gopal Das ◽  
Arpita Khare

Purpose The purpose of this paper is to review the academic literature on the experiential value to appreciate the developments in the area in the last decade; propose a conceptual framework delineating the determinants and outcomes of experiential value and provide future research directions based on the insights. Design/methodology/approach A range of online databases were searched to review and select the papers related to experiential value. The full text of each of the papers was taken as a unit of analysis. The classification and coding of all the selected papers was performed manually by two independent researchers. Findings The analysis led to the classification of the experiential value literature broadly into five categories, i.e. conceptualization, measurement, antecedents, outcomes and applications. The findings indicated that the experiential value delineates across cultures, store formats, channels and product categories. The proposed framework depicting antecedents and outcomes could form a basis for future studies. The study unveiled several other useful findings as discussed in the paper. Research limitations/implications The findings may be generalized only to the selected online databases for the given time period in the experiential value domain. The study identified several potential avenues for future research. Practical implications The present study may help the academicians and practitioners to comprehend the current state of literature. The bibliography may be considered as a ready reference for contemplating future research in the area. Originality/value The extant literature revealed that no study so far has captured a literature review in the area of experiential value. Thus, this could be seen as a unique and significant contribution to the literature.


2016 ◽  
Vol 11 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Teija Vainio

Abstract This study analyses motivations, results and technology of the participatory design approach. It is a review based on 32 papers, presenting recent studies on participatory design in architecture and urban planning during the time period from 2000 to 2014. As a result, the main motivations, outcomes and the role of technology are emphasised and discussed. Furthermore, recommendations for future research directions for participatory design research in the field of urban planning are also provided.


2021 ◽  
Vol 124 (4) ◽  
pp. 1107-1114
Author(s):  
J. Knight ◽  
J.M. Fitchett

Abstract Principles of place, space and time can frame an understanding of the context and interpretation of Quaternary palaeo-records, and this is particularly the case for the varied proxies used for late Quaternary climate and environmental reconstruction in southern Africa. Place refers to the specific topographic setting or context of any one record, which has implications for the operation of physical processes in the landscape that control the accumulation of different records. Space refers to the spatial scale or footprint of any one record or proxy, and this varies from one proxy to another. Time refers to not only the time period covered by individual records, but also the temporal resolution of the record, which depends on accumulation rates and availability and quality of any radiometric dating. These three principles are discussed specifically in the context of the Quaternary of southern Africa and through the papers that form this special issue, but are also relevant globally. Future research directions in Quaternary research in southern Africa are identified, including opportunities for refining regional chronostratigraphies.


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