Gotowe bibliografie tematyczne / Online knowledge networks

Gotowa bibliografia na temat „Online knowledge networks”

Autor: Grafiati
Data publikacji: 27 lipca 2024
Data aktualizacji: 29 lipca 2024

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Artykuły w czasopismach na temat "Online knowledge networks"

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Angiani, Giulio, Paolo Fornacciari, Eleonora Iotti, Monica Mordonini i Michele Tomaiuolo. "Participation in Online Social Networks". International Journal of Interactive Communication Systems and Technologies 8, nr 2 (lipiec 2018): 36–55. http://dx.doi.org/10.4018/ijicst.2018070103.

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Why and how more and more people get involved and use social networking systems are critical topics in social network analysis (SNA). As a matter of fact, social networking systems bring online a growing number of acquaintances, for many different purposes. Both business interests and personal recreational goals are motivations for using online social networks (OSN) or other social networking systems. The participation in social networks is a phenomenon which has been studied with several theories, and SNA is useful for common business problems, e.g., launching distributed teams, retaining people with vital knowledge for the organization, improving access to knowledge and spreading ideas and innovation. Nevertheless, there are some difficulties, such as anti-social behaviors of participants, lack of incentives, organizational costs and risks. In this article, a survey of the basic features of SNA, participation theories and models are discussed, with emphasis on social capital, information spreading, motivations for participation, and anti-social behaviors of social network users.
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Melton, James, Robert Miller i Michelle Salmona. "Online Social Networks". International Journal of Information Systems and Social Change 3, nr 2 (kwiecień 2012): 24–38. http://dx.doi.org/10.4018/ijissc.2012040102.

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Previous research has shown that many college students in the United States post content to social networking sites that they know would be considered inappropriate by employers and other authority figures. However, the phenomenon has not been extensively studied in cross-cultural context. To address this knowledge gap, a survey of college students in Australia, Denmark, the United Kingdom, and the United States was conducted. The study found a universal tendency among the four groups: students knew the content they were posting would be considered inappropriate by employers and other authority figures, but they chose to post it anyway. The article also reports on differences in the way this tendency was manifested and on related aspects of social networking across cultures, including decisions about privacy and information disclosure.
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Li, Yongning, Lun Zhang i Ye Wu. "Understanding the Dynamics of Knowledge Building Process in Online Knowledge-Sharing Platform: A Structural Analysis of Zhihu Tag Network". Complexity 2022 (28.05.2022): 1–11. http://dx.doi.org/10.1155/2022/7392186.

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Through structural analysis of 8-year tag networks from online knowledge-sharing platforms, this study finds that, with the scale of tag networks growing quickly, the growth trend of number edges indicates that tag network follows densification law. The clustering coefficient and the average shortest path of the network show that the rapid growth of network size does not bring about the compartmentalization of the knowledge network, and the degree distribution of tag networks shows a truncated power-law distribution. According to the structural characteristics of the tag network, this study proposes a tag network model based on the BA model. Based on the preference attachment, the triadic closure mechanism is employed to construct the edges between the old nodes, which revises the limitation that the BA model only connects edges between old and new nodes. The results show that the simulation model matches the actual tag network structure well. The generation mechanism of the tag network model provides a reference for understanding the knowledge construction process of the online knowledge-sharing platform to a certain extent.
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Preusse, Julia, Jérôme Kunegis, Matthias Thimm, Steffen Staab i Thomas Gottron. "Structural Dynamics of Knowledge Networks". Proceedings of the International AAAI Conference on Web and Social Media 7, nr 1 (3.08.2021): 506–15. http://dx.doi.org/10.1609/icwsm.v7i1.14402.

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We investigate the structural patterns of the appearance and disappearance of links in dynamic knowledge networks. Human knowledge is nowadays increasingly created and curated online, in a collaborative and highly dynamic fashion. The knowledge thus created is interlinked in nature, and an important open task is to understand its temporal evolution. In this paper, we study the underlying mechanisms of changes in knowledge networks which are of structural nature, i.e., which are a direct result of a knowledge network's structure. Concretely, we ask whether the appearance and disappearance of interconnections between concepts (items of a knowledge base) can be predicted using information about the network formed by these interconnections. In contrast to related work on this problem, we take into account the disappearance of links in our study, to account for the fact that the evolution of collaborative knowledge bases includes a high proportion of removals and reverts. We perform an empirical study on the best-known and largest collaborative knowledge base, Wikipedia, and show that traditional indicators of structural change used in the link analysis literature can be classified into four classes, which we show to indicate growth, decay, stability and instability of links. We finally use these methods to identify the underlying reasons for individual additions and removals of knowledge links.
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Wu, Guile, i Shaogang Gong. "Peer Collaborative Learning for Online Knowledge Distillation". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 12 (18.05.2021): 10302–10. http://dx.doi.org/10.1609/aaai.v35i12.17234.

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Traditional knowledge distillation uses a two-stage training strategy to transfer knowledge from a high-capacity teacher model to a compact student model, which relies heavily on the pre-trained teacher. Recent online knowledge distillation alleviates this limitation by collaborative learning, mutual learning and online ensembling, following a one-stage end-to-end training fashion. However, collaborative learning and mutual learning fail to construct an online high-capacity teacher, whilst online ensembling ignores the collaboration among branches and its logit summation impedes the further optimisation of the ensemble teacher. In this work, we propose a novel Peer Collaborative Learning method for online knowledge distillation, which integrates online ensembling and network collaboration into a unified framework. Specifically, given a target network, we construct a multi-branch network for training, in which each branch is called a peer. We perform random augmentation multiple times on the inputs to peers and assemble feature representations outputted from peers with an additional classifier as the peer ensemble teacher. This helps to transfer knowledge from a high-capacity teacher to peers, and in turn further optimises the ensemble teacher. Meanwhile, we employ the temporal mean model of each peer as the peer mean teacher to collaboratively transfer knowledge among peers, which helps each peer to learn richer knowledge and facilitates to optimise a more stable model with better generalisation. Extensive experiments on CIFAR-10, CIFAR-100 and ImageNet show that the proposed method significantly improves the generalisation of various backbone networks and outperforms the state-of-the-art methods.
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Zhang GuoYin, i Li Heng. "Research on Semantic Networks Based Online Learning Knowledge Management". International Journal of Digital Content Technology and its Applications 6, nr 8 (31.05.2012): 126–34. http://dx.doi.org/10.4156/jdcta.vol6.issue8.15.

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Yang, Bo, Lulu Wang i Bayan Omar Mohammed. "Improving the organizational knowledge sharing through online social networks". Kybernetes 49, nr 11 (2.12.2019): 2615–32. http://dx.doi.org/10.1108/k-07-2019-0508.

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Purpose Social technologies can offer a strong means for organizations to manage their information flows and thus make changes on the organizational knowledge sharing, which may then be linked to employees’ productivity and performance enhancements. The purpose of this paper is to predict the impact of using the online social network on employee motivation and employee motivation effects on organizational knowledge sharing. Design/methodology/approach From employees of tax affairs organization, data are collected. For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SMART-PLS 3.2 is used. Findings Findings have confirmed the validity of the proposed model. The results also have indicated that online social networks, social trust and social goals have a positive and important impact on employee motivation. Furthermore, obtained results have revealed that organizational knowledge sharing is significantly influenced by employee motivation and organizational commitment. Research limitations/implications The study contributes to the literature on organizational knowledge sharing and employee motivation in online social networking sites. Organizations could benefit from this knowledge by accepting that social networking sites must be considered as a critical component of the knowledge sharing, and precise targeting efforts could be directed for those users. Also, it could be exciting to study further factors affecting the development of organizational knowledge sharing in larger organizations. Originality/value The paper rises the understanding of what online social networking encompasses and how it can be utilized for the organization. The ideas and discussion are similarly applicable to libraries and may give them new visions into the delivery of social networking applications as part of their facilities to users.
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Mussina, A. B., S. S. Aubakirov i P. Trigo. "Architecture for enduring knowledge-extraction from online social networks". BULLETIN of the L N Gumilyov Eurasian National University MATHEMATICS COMPUTER SCIENCE MECHANICS Series 140, nr 3 (2022): 23–32. http://dx.doi.org/10.32523/2616-7182/bulmathenu.2022/3.3.

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Nowadays social networks and media play significant role in daily life. All our life in the real world is recorded in the digital space as well. Scientists have enormous potential in researching issues such as social influence ontop news and top news influence on society. Its impact on daily life spans such diverse areas as digital marketing, publicopinion analysis, political monitoring and disaster notification. Any task of processing such a large data stream needs acoherent architecture that will fit the analyzed resource. In the presented work, we set ourselves the task of creating ahighly loaded, fault-tolerant, scalable system for extracting and processing data from various social networks and analyzing data in real time. The solution is architecture in the form of a set of modules. Modules have their own characteristics depending on the work performed, from collecting textual data to direct processing and extraction of knowledge.
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Crowne, Kerri Anne, Richard J. Goeke i Mary Shoemaker. "Enhancing international assignees’ performance with online social networks". Journal of Global Mobility 3, nr 4 (14.12.2015): 397–417. http://dx.doi.org/10.1108/jgm-09-2014-0045.

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Purpose – Adjustment to the new locale is one of the primary factors that influence performance on an international assignment. The purpose of this paper is to propose a model that depicts how online social networks may contribute to international assignees’ adjustment via their influence on well-being and knowledge transfer. Design/methodology/approach – The present research uses network theory and readily available technology to develop a model of how online supportive social networks and informational social networks may increase the international assignee’s well-being and knowledge transfer (with prior/next assignees and with the organization). These increases will subsequently have a positive impact on the assignee’s adjustment and ultimately his/her job performance. Findings – Since this paper is conceptual rather than empirical, there are no findings; however, it is argued that online social networks may have a positive impact on an expatriate’s well-being, knowledge transfer, adjustment, and job performance. Research limitations/implications – This paper is a conceptual piece, so data will need to be collected to test the model developed here. Furthermore, other factors may influence international assignee adjustment, such as spouse and/or family adjustment. Practical implications – Suggestions are provided regarding how organizations can utilize in-house or external online social networks to assist international assignees. Originality/value – Despite the ubiquity of online social networks, there is a paucity of research examining the potential impact of online social networks on international assignees.
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Gao, Liang, Xu Lan, Haibo Mi, Dawei Feng, Kele Xu i Yuxing Peng. "Multistructure-Based Collaborative Online Distillation". Entropy 21, nr 4 (2.04.2019): 357. http://dx.doi.org/10.3390/e21040357.

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Recently, deep learning has achieved state-of-the-art performance in more aspects than traditional shallow architecture-based machine-learning methods. However, in order to achieve higher accuracy, it is usually necessary to extend the network depth or ensemble the results of different neural networks. Increasing network depth or ensembling different networks increases the demand for memory resources and computing resources. This leads to difficulties in deploying depth-learning models in resource-constrained scenarios such as drones, mobile phones, and autonomous driving. Improving network performance without expanding the network scale has become a hot topic for research. In this paper, we propose a cross-architecture online-distillation approach to solve this problem by transmitting supplementary information on different networks. We use the ensemble method to aggregate networks of different structures, thus forming better teachers than traditional distillation methods. In addition, discontinuous distillation with progressively enhanced constraints is used to replace fixed distillation in order to reduce loss of information diversity in the distillation process. Our training method improves the distillation effect and achieves strong network-performance improvement. We used some popular models to validate the results. On the CIFAR100 dataset, AlexNet’s accuracy was improved by 5.94%, VGG by 2.88%, ResNet by 5.07%, and DenseNet by 1.28%. Extensive experiments were conducted to demonstrate the effectiveness of the proposed method. On the CIFAR10, CIFAR100, and ImageNet datasets, we observed significant improvements over traditional knowledge distillation.
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Rozprawy doktorskie na temat "Online knowledge networks"

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Schmitz-Justen, Felix J. "Knowledge factors : how to animate members of online communities to create knowledge-relevant content /". Frankfurt am Main [u.a.] : Lang, 2006. http://www.loc.gov/catdir/toc/fy0710/2006047271.html.

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Ray, Aaron Parker. "Planning Connected: Using Online Social Networks to Improve Knowledge about Places and Communities". DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/580.

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The advent of Social Networking Systems (SNS) has introduced new possibilities for planners to refine and extend conventional engagement and data-gathering techniques by leveraging user-contributed, spatially-referenced content freely available online. This study examines the use of SNS content as community input, complementing input gathered through traditional participatory processes such as workshops, public comment hearings, and charrettes. Four case studies of recent community planning projects in the United States are analyzed, comparing the data gathered from traditional participatory processes with available SNS content related to each project study area, to determine to what extent the inclusion of SNS data would improve the overall data- gathering efforts of these projects. Three significant findings emerge from this analysis: (i) that SNS data analysis can positively complement data gathered from traditional participatory processes, (ii) that although SNS data analysis can provide useful data to planners, it is not a direct replacement for conventional engagement techniques, and (iii) that SNS data analysis is most effective for projects in neighborhoods with a well- defined identity. The study also examines the characteristics of effective SNS data analysis integration and discusses broader implications for planning practitioners and additional research needed.
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Teigland, Robin. "Knowledge networking : structure and performance in networks of practice". Doctoral thesis, Handelshögskolan i Stockholm, Institute of International Business (IIB), 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-1958.

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Mushonga, Cleopatra Tsungai. "Social networking for knowledge management : group features as personal knowledge management tools". Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86315.

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Thesis (MPhil)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: With the emergence of Web 2.0 (social network platforms) some Knowledge Management theorists saw the potential for incorporating its collaborative and networking features in Knowledge Management Systems. However, the consensus is that harnessing Web 2.0 features for Knowledge Management is still in its infancy and according to some it seems that Web 2.0 success in the social sphere is hard to translate to the work context. The thesis argues that Web 2.0 primarily facilitates Personal Knowledge Management (PKM) and in this way indirectly contributes to Organisational Knowledge Management. Furthermore not all Web 2.0 features are equally useful in facilitating Personal Knowledge Management. The thesis identifies the group features of social network platforms as the prime locations for networking and learning. The thesis is theoretically based on Cheong and Tsui's PKM 2.0 model, in particular the Interpersonal Knowledge Transferring phase that in turn is based on Nonaka's SECI model of knowledge conversion. The thesis starts out with considering the distinction and relationship between Organisational Knowledge Management (OKM) and Personal Knowledge Management (PKM). Thereafter Cheong and Tsui's PKM 2.0 model is described as well as Nonaka's SECI model. The Web 2.0 phenomenon is introduced through a literature review of various studies on the usefulness of social network platforms and the group features are specifically highlighted. A survey is conducted among users of a particular Web 2.0 group feature, based on questions developed from the SECI and PKM 2.0 models. The thesis comes to the conclusion that the group features of Web 2.0 social network platforms are useful for Knowledge Management, because it is indeed a component of users' Personal Knowledge Management.
AFRIKAANSE OPSOMMING: Sekere Kennisbestuursteoretici het met die opkoms van Web 2.0 (sosiale netwerk-platforms) die moontlikheid waargeneem om die samewerks- en netwerk-funksionaliteit van Web 2.0 platforms met bestaande Kennisbestuurstelsels te integreer. Die konsensus is egter dat sulke pogings nog veel tekortskiet en sommige waarnemers meen dat dit baie moeilik sal wees om Web 2.0 se sukses in die sosiale sfeer in die werksplek in te span. Die tesis argumenteer dat Web 2.0 hoofsaaklik Persoonlike Kennisbestuur (PKB) fasiliteer en langs hierdie ompad 'n bydrae lewer tot Organisatoriese Kennisbestuur (OKB). Verder lewer alle funksionaliteite van Web 2.0 nie 'n bruikbare bydra tot Kennisbestuur nie, maar is dit hoofsaaklik die groepsfunksies wat bruikbaar is in terme van netwerking en leer. Die tesis is teoreties gewortel in Cheong en Tsui se PKB 2.0 model, veral die Interpersoonlike Kennisoordragsfase wat weer op Nonaka se SEKI model gebaseer is. Die tesis oorweeg aanvanklik die onderskeid en verhouding tussen Organisatoriese Kennisbestuur (OKB) en Persoonlike Kennisbestuur (PKB). Daarna word Cheong en Tsui se PKB 2.0 model en Nonaka se SEKI model bespreek. Die Web 2.0 fenomeen word beskryf aan die hand van 'n literatuurstudie van navorsing oor die bruikbaarheid van Web 2.0 platforms en die groepsfunksionaliteit word spesifiek belig. 'n Vraelys, gebaseer op die SEKI en PKB 2.0 modelle, is onder gebruikers van 'n spesifieke Web 2.0 groepsfunksie geadministreer. Die tesis kom tot die konklusie dat die groepsfunksies van Web 2.0 sosiale netwerk-platforms bruikbaar is vir Kennisbestuur, want dit is inderdaad 'n komponent van gebruikers se Persoonlike Kennisbestuur (PKB).
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Ogbamichael, Hermon Berhane. "Information & knowledge sharing within virtual communities of practice (VCoPs)". Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2799.

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Thesis (DTech (Informatics))--Cape Peninsula University of Technology, 2017.
The concept of virtual community of practice (VCoP) emanates from the need to create a new mode of learning and knowledge creation. It is found that highly structured forums are not necessarily the best way to assist people to learn and improve their knowledge. This then, requires organisations to seek alternative informal ways to share knowledge. The significance of optimising knowledge sharing results in VCoPs receiving considerable attention while searching for new ways to draw on expertise dispersed across global operations. This impacts organisations, thereby enabling them to respond more speedily to the demands of their stakeholders. The fast pace of change in their business environments is also a factor to contend with. Within this context, the use of VCoPs to optimise both, tacit and explicit knowledge sharing within stakeholders, is the central theme of this research. The findings from literature enables the researcher to explore scientific based models that may have the potential to enhance knowledge sharing in an enterprise. The Life Cycle knowledge flow model is found to be the most comprehensive compared to two other models – namely, a Spiral knowledge flow model and Dynamic knowledge flow model. The outflow from the findings in literature is that the Life Cycle knowledge flow model is selected as the basis to conduct two surveys to determine if the model could be adapted to improve knowledge sharing within VCoPs in particular, and in an enterprise in general. The result of the two surveys conducted (in 2011/2012 and 2016), leads to establishing an extended Life Cycle knowledge flow model. The established model enhances knowledge sharing within VCoPs, and in turn, assists when optimising knowledge sharing in an enterprise. This extended model covers six phases of knowledge development to improve knowledge sharing within VCoPs. The first phase enhances the creation of both, tacit and explicit knowledge. The second phase enables to optimise the organisation of knowledge. The third phase enables the formalisation of tacit knowledge, that is, conversion of tacit to explicit knowledge. The fourth phase improves the distribution of knowledge. The fifth phase enables to optimise the application of knowledge and the final phase enables the evolution or continuous development of knowledge. The contribution of this research proposes that a comprehensive knowledge flow model, namely the Life Cycle knowledge flow model found in literature, served as the basis for this research. However, this model was never tested or verified if it indeed optimises knowledge sharing within VCoPs. The two surveys (Survey One 2011/12 and Survey Two 2016) were developed and distributed to respondents to verify the model’s suitability to VcoPs. As a result of responses received from the two surveys, the researcher was then able to develop an extended Life Cycle knowledge flow model that particularly, optimises knowledge sharing within VCoPs. This research further contributes in formulating a scientific based knowledge flow model that can be adapted to social networks. Therefore, this research also creates the foundation to further study to investigate the optimisation of knowledge sharing in social networks. In recent literature, social networks are established as one of the informal mechanisms to share and enhance knowledge sharing in an enterprise.
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Stuckey, Bronwyn. "Growing online community core conditions to support successful development of community in internet-mediated communities of practice /". Access electronically, 2007. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20080911.092048/index.html.

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Law, Pui Man. "Fostering knowledge contribution in online communities : and examination of social capital, social capital building, and the role of IT artifacts". HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1395.

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Buranaburivast, Vorapoj. "Applying social capital to electronic networks of practice : blog communities". UWA Business School, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0209.

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Blogging is a recent phenomenon with research currently focusing on how it facilitates both personal and organisational knowledge exchange (Aimeur, Brassard & Paquet 2005; Hsu & Lin 2008). Social capital is shown to be a crucial factor facilitating knowledge transfer (Nahapiet and Ghoshal 1998). Blogging is a new social communication technology enabling individuals to collaborate and share knowledge. This research investigates how three dimensions of social capital affect individual knowledge sharing in weblog communities. In particular, it explores how individuals exploit weblogs as a tool for conversational knowledge management in educational institutions. Following Wasko & Faraj's (2005) study, the conceptual model is developed by setting eight independent variables from social capital dimensions and a dependent variable is set from individual behaviour in online knowledge sharing. Eight hypotheses are developed to test the relationship between these variables. A quantitative approach was applied for data collection and analysis. For data collection, an online survey was published in several Australian university weblog communities. An additional paper-based survey was distributed to the respondents in order to gain adequate sample size. For data analysis, confirmatory factor analysis (CFA) was applied to eliminate measurement items that shared a significant residual value with other measurement items. Further, the models obtained from confirmatory factor analysis were used to test the hypotheses by multiple regression analysis. Results from multiple regression analysis on online knowledge sharing suggest that trust, personal reputation and enjoy helping are positively associated with individual online knowledge sharing. The stepwise estimation procedure was further adapted in the regression model. The results show that four independent variables became significant to the study. These four significant variables were individual expertise, trust, personal reputation and enjoy helping. Lastly, several limitations in this study such as the sample of university online setting and respondents' activities on weblogs are discussed. These limitations lead to the direction of future research provided in conclusion of this study.
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Kurka, David Burth 1988. "Online social networks = knowledge extraction from information diffusion and analysis of spatio-temporal phenomena = Redes sociais online: extração de conhecimento e análise espaço-temporal de eventos de difusão de informação". [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259074.

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Orientador: Fernando José Von Zuben
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-27T03:14:35Z (GMT). No. of bitstreams: 1 Kurka_DavidBurth_M.pdf: 1660677 bytes, checksum: 7258daf8129b4dac9d1f647195775d3c (MD5) Previous issue date: 2015
Resumo: Com o surgimento e a popularização de Redes Sociais Online e de Serviços de Redes Sociais, pesquisadores da área de computação têm encontrado um campo fértil para o desenvolvimento de trabalhos com grande volume de dados, modelos envolvendo múltiplos agentes e dinâmicas espaço-temporais. Entretanto, mesmo com significativo elenco de pesquisas já publicadas no assunto, ainda existem aspectos das redes sociais cuja explicação é incipiente. Visando o aprofundamento do conhecimento da área, este trabalho investiga fenômenos de compartilhamento coletivo na rede, que caracterizam eventos de difusão de informação. A partir da observação de dados reais oriundos do serviço online Twitter, tais eventos são modelados, caracterizados e analisados. Com o uso de técnicas de aprendizado de máquina, são encontrados padrões nos processos espaço-temporais da rede, tornando possível a construção de classificadores de mensagens baseados em comportamento e a caracterização de comportamentos individuais, a partir de conexões sociais
Abstract: With the advent and popularization of Online Social Networks and Social Networking Services, computer science researchers have found fertile field for the development of studies using large volumes of data, multiple agents models and spatio-temporal dynamics. However, even with a significant amount of published research on the subject, there are still aspects of social networks whose explanation is incipient. In order to deepen the knowledge of the area, this work investigates phenomena of collective sharing on the network, characterizing information diffusion events. From the observation of real data obtained from the online service Twitter, we collect, model and characterize such events. Finally, using machine learning and computational data analysis, patterns are found on the network's spatio-temporal processes, making it possible to classify a message's topic from users behaviour and the characterization of individual behaviour, from social connections
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
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Köhler, Thomas, Nina Kahnwald i Eric Schoop. "Wissensgemeinschaften 2015: 18. GeNeMe-Workshop, TU Dresden, 25./26.06.2015: GeNeMe 2015, Gemeinschaften in Neuen Medien". Technische Universität Dresden, 2015. https://tud.qucosa.de/id/qucosa%3A28972.

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Unter dem gemeinsamen Dach „Wissensgemeinschaften“ werden nun zwei Tagungen mit sich gegenseitig ergänzenden thematischen Schwerpunkten zusammengebracht, die Lern- und Wissensprozesse im Spannungsfeld zwischen Organisation, Technologie und (Unternehmens-)Kultur verhandeln. Während die Konferenz „Gemeinschaften in neuen Medien (GeNeMe)“ organisationale und technische Perspektiven im Kontext von Virtual Enterprises, Communities & Social Networks thematisiert, liefert die zweijährlich stattfindende Konferenz „Professionelles Wissensmanagement (ProWM)“ der Fachgruppe Wissensmanagement in der Gesellschaft für Informatik (fgwm) einen breiten integrativen Überblick über die organisatorischen, kulturellen, sozialen und technischen Aspekte des Wissensmanagements.:1 Vorwort: Wissensgemeinschaften in Wirtschaft und Wissenschaft XII 2 Preface: Knowledge Communities in Busuness and Schience XVII Keynotes – eingeladene Vorträge 1 Knowledge Management – Advancements and Future Research Needs – Results from the Global Knowledge Research Network study 1 2 Leeds University Business School, Leeds, UK, 2 Beginnt die neue Arbeitswelt mit einer Abwesenheitsnotiz? 13 Hochschuldidaktik 2.0 1 Vernetztes Lernen an der Hochschule? Ergebnisse und Erfahrungen eines cMOOS 17 2 Smart communities in virtual reality. A comparison of design approaches for academic education 25 3 Flipped Classroom in der Hochschullehre der TU Dresden – Ein Work in Progress-Bericht 39 4 Konzepte für den Einsatz von E-Tutoren in komplexen E-Learning-Szenarien – Ein Erfahrungsbericht 45 Wissensmanagement I 1 Barrieren im interorganisationalen Wissensaustausch auf individueller Ebene – Ordnungsrahmen und Analysemethoden 55 2 GIS-based sales support by company knowledge reuse in the telecommunications sector 67 3 Praktische Entwicklung einer wissensorientierten Unternehmenskultur. Entwurf einer Zertifizierungsmethode 75 4 Supporting Knowledge Management Instruments with Composable Micro-Services 81 Communities 1 MeetingMirror – Unterstützung von Wissenschaftler-Communities auf Konferenzen 91 2 The SIFA community as a virtual learning space in OSH 101 3 Reflexion, Begleitung, Austausch – Die Online-Plattform StudentBodies-AN zur Prävention von Magersucht 107 Technologien, Methoden, Systeme 1 Gamification in der Hochschullehre. Herleitung von Handlungsempfehlungen für den Einsatz von Gamedesign-Elementen in der sächsischen Lernplattform OPAL 115 2 Gebrauchstauglichkeit und Nützlichkeit. Usability und wahrgenommener Nutzen digitaler Lernangebote S. 125 3 Barrierefreiheit im MOOC 135 4 Strukturierte Wikis – Konzept und Anwendungsbeispiel 141 Feedback, Austausch, Ideenfindung 1 Idea-Space: A Use Case of Collaborative Course Development in Higher Education 149 2 Onlinegestützte Audience Response Systeme: Förderung der kognitiven Aktivierung in Vorlesungen und Eröffnung neuer Evaluationsperspektiven 157 3 Mobiles Feedback – Praxisbericht zur Integration eines Audience Response Systems in eine Lehrveranstaltung als Instrument der Lehrevaluation 67 4 Jazz in der Stadt und Rock auf der Autobahn - von der kollaborativen zur kollaborativ-kontextorientierten Musikempfehlung 173 Education 1 Wissens- und Nachhaltigkeitsmanagement durch Kooperationen in Weiterbildungsprojekten 185 2 Lernen aus Erfahrung – vom agilen zum verteilten Präsenzteam 193 3 Development of an E-Learning instructional model for vocational training in Indonesia 203 4 A Survey of Teachers’ Media Literacy in Chinese Vocational Schools 209 Prozess 1 Welche Use Cases eignen sich für die Umsetzung in einem Enterprise Social Network? Eine Fallstudie bei der N-ERGIE Aktiengesellschaft 225 2 Kontextbezogene, workflowbasierte Assessmentverfahren auf der Grundlage semantischer Wissensbasen 237 3 Collaborative Knowledge Acquisition and Explorationin Technology Search 243 Wissensmanagement II 1 Assessing Informal Social Learning at the Workplace – A Revalidation Case from Healthcare 251 2 Wie Barrieren im Wissenstransfer überwunden werden können – Ergebnisse einer Studie zur Grundhaltung des Misstrauens oder Vertrauens 267 3 Integration von Topic Models und Netzwerkanalyse bei der Bestimmung des Kundenwertes 277 4 Wissensmanagement im Kontext öffentlich-rechtlicher Rahmenbedingungen: Praktische Erfahrungen aus einem Wasserverband 285 Adress- und Autorenverzeichnis 293
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Książki na temat "Online knowledge networks"

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Johnson, J. David. Managing knowledge networks. New York: Cambridge University Press, 2009.

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Johnson, J. David. Managing knowledge networks. Cambridge, UK: Cambridge University Press, 2009.

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Hars, Alexander. From publishing to knowledge networks: Reinventing online knowledge infrastructures. Berlin: Springer, 2003.

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Hars, Alexander. From publishing to knowledge networks: Reinventing online knowledge infrastructures. Berlin: Springer-Verlag, 2010.

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Bruggemann, Stefan, i Claudia d'Amato. Collaboration and the Semantic Web: Social networks, knowledge networks and knowledge resources. Hershey, PA: Information Science Reference, 2012.

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Schmitz-Justen, Felix J. Knowledge factors: How to animate members of online communities to create knowledge-relevant content. Frankfurt am Main, Germany: Lang, 2006.

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Takseva, Tatjana. Social software and the evolution of user expertise: Future trends in knowledge creation and dissemination. Hershey, PA: Information Science Reference, 2013.

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Weller, Katrin. Knowledge representation in the social semantic Web. New York: De Gruyter Saur, 2010.

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1977-, Sun Chen, Cheng Jun 1964- i Ohira Takashi 1955-, red. Handbook on advancements in smart antenna technologies for wireless networks. Hershey, PA: Information Science Reference, 2008.

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Wilhelm, Daniel B. Nutzerakzeptanz von webbasierten Anwendungen: Modell zur Akzeptanzmessung und Identifikation von Verbesserungspotenzialen. Wiesbaden [Germany]: Springer Gabler Research, 2012.

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Części książek na temat "Online knowledge networks"

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Aalberts, Chris, i Maurits Kreijveld. "Knowledge exchange through online political networks". W Knowledge Democracy, 315–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11381-9_21.

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Fei, Luo, Tianxing Wu i Arijit Khan. "Online Updates of Knowledge Graph Embedding". W Complex Networks & Their Applications X, 523–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93413-2_44.

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Revelle, Matt, Carlotta Domeniconi i Aditya Johri. "Persistent Roles in Online Social Networks". W Machine Learning and Knowledge Discovery in Databases, 47–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46227-1_4.

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Huynh, Tuyen N., i Raymond J. Mooney. "Online Structure Learning for Markov Logic Networks". W Machine Learning and Knowledge Discovery in Databases, 81–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23783-6_6.

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Li, Xiaoxue, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan i Li Guo. "Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network". W Knowledge Science, Engineering and Management, 274–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63558-3_23.

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Hu, Yuxuan, Quan Bai i Weihua Li. "Context-Aware Influence Diffusion in Online Social Networks". W Knowledge Management and Acquisition for Intelligent Systems, 153–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30639-7_13.

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Kaushal, Rishabh, Chetna Sharma i Ponnurangam Kumaraguru. "Detection of Misbehaviors in Clone Identities on Online Social Networks". W Mining Intelligence and Knowledge Exploration, 94–103. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66187-8_10.

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Milolidakis, Giannis, Chris Kimble i Demosthenes Akoumianakis. "A Practice-Based Analysis of an Online Strategy Game". W Leveraging Knowledge for Innovation in Collaborative Networks, 433–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04568-4_45.

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Kelly, Nick, Marc Clarà, Benjamin Kehrwald i Patrick Alan Danaher. "Developing Teacher Knowledge and Reflection". W Online Learning Networks for Pre-Service and Early Career Teachers, 31–41. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-50302-2_4.

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Lauw, Hady W., Ee-Peng Lim i Ke Wang. "On Mining Rating Dependencies in Online Collaborative Rating Networks". W Advances in Knowledge Discovery and Data Mining, 1054–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01307-2_113.

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Streszczenia konferencji na temat "Online knowledge networks"

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Lin, Wenye, Yangning Li, Yifeng Ding i Hai-Tao Zheng. "Tree-structured Auxiliary Online Knowledge Distillation". W 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. http://dx.doi.org/10.1109/ijcnn55064.2022.9892764.

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Ramachandran, Arthi, i Augustin Chaintreau. "Who Contributes to the Knowledge Sharing Economy?" W COSN'15: Conference on Online Social Networks. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2817946.2817963.

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Jiang, Jiawei, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu i Bin Cui. "Analyzing Online Transaction Networks with Network Motifs". W KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3534678.3539096.

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Zhu, Xuan, Wangshu Yao i Kang Song. "Online Knowledge Distillation with Multi-Architecture Peers". W 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. http://dx.doi.org/10.1109/ijcnn55064.2022.9892595.

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Li, Chengcheng, Zi Wang i Hairong Qi. "Online Knowledge Distillation with History-Aware Teachers". W 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. http://dx.doi.org/10.1109/ijcnn55064.2022.9892064.

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Masoumzadeh, Amirreza, i Andrew Cortese. "Towards Measuring Knowledge Exposure in Online Social Networks". W 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC). IEEE, 2016. http://dx.doi.org/10.1109/cic.2016.080.

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Du, Xiaocong, Shreyas Kolala Venkataramanaiah, Zheng Li, Jae-sun Seo, Frank Liu i Yu Cao. "Online Knowledge Acquisition with the Selective Inherited Model". W 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9206904.

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Dey, Paramita, Agneet Chatterjee i Sarbani Roy. "Knowledge based community detection in online social network". W 2018 10th International Conference on Communication Systems & Networks (COMSNETS). IEEE, 2018. http://dx.doi.org/10.1109/comsnets.2018.8328287.

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Badri Satya, Prudhvi Ratna, Kyumin Lee, Dongwon Lee, Thanh Tran i Jason (Jiasheng) Zhang. "Uncovering Fake Likers in Online Social Networks". W CIKM'16: ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2983323.2983695.

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Soon, Lisa, i Campbell Fraser. "Knowledge activities in distance education online group work". W 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6013849.

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Raporty organizacyjne na temat "Online knowledge networks"

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Droogan, Julian, Lise Waldek, Brian Ballsun-Stanton i Jade Hutchinson. Mapping a Social Media Ecosystem: Outlinking on Gab & Twitter Amongst the Australian Far-right Milieu. RESOLVE Network, wrzesień 2022. http://dx.doi.org/10.37805/remve2022.6.

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Attention to the internet and the online spaces in which violent extremists interact and spread content has increased over the past decades. More recently, that attention has shifted from understanding how groups like the self-proclaimed Islamic State use the internet to spread propaganda to understanding the broader internet environment and, specifically, far-right violent extremist activities within it. This focus on how far right violent extremist—including far-right racially and ethnically motivated violent extremists (REMVEs) within them—create, use, and exploit the online networks in which they exist to promote their hateful ideology and reach has largely focused on North America and Europe. However, in recent years, examinations of those online dynamics elsewhere, including in Australia, is increasing. Far right movements have been active in Australia for decades. While these movements are not necessarily extremist nor violent, understanding how violent far right extremists and REMVEs interact within or seek to exploit these broader communities is important in further understanding the tactics, reach, and impact of REMVEs in Australia. This is particularly important in the online space access to broader networks of individuals and ideas is increasingly expanding. Adding to a steadily expanding body of knowledge examining online activities and networks of both broader far right as well as violent extremist far right populations in Australia, this paper presents a data-driven examination of the online ecosystems in which identified Australian far-right violent extremists exist and interact,1 as mapped by user generated uniform resource locators (URL), or ‘links’, to internet locations gathered from two online social platforms—Twitter and Gab. This link-based analysis has been used in previous studies of online extremism to map the platforms and content shared in online spaces and provide further detail on the online ecosystems in which extremists interact. Data incorporating the links was automatically collected from Twitter and Gab posts from users existing within the online milieu in which those identified far right extremists were connected. The data was collected over three discrete one-month periods spanning 2019, the year in which an Australian far right violent extremist carried out the Christchurch attack. Networks of links expanding out from the Twitter and Gab accounts were mapped in two ways to explore the extent and nature of the online ecosystems in which these identified far right Australian violent extremists are connected, including: To map the extent and nature of these ecosystems (e.g., the extent to which other online platforms are used and connected to one another), the project mapped where the most highly engaged links connect out to (i.e., website domain names), and To explore the nature of content being spread within those ecosystems, what sorts of content is found at the end of the most highly engaged links. The most highly engaged hashtags from across this time are also presented for additional thematic analysis. The mapping of links illustrated the interconnectedness of a social media ecosystem consisting of multiple platforms that were identified as having different purposes and functions. Importantly, no links to explicitly violent or illegal activity were identified among the top-most highly engaged sites. The paper discusses the implications of the findings in light of this for future policy, practice, and research focused on understanding the online ecosystems in which identified REMVE actors are connected and the types of thematic content shared and additional implications in light of the types of non-violent content shared within them.
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Lewis, Dustin, red. International Counterterrorism Efforts: An Initial Mapping. Harvard Law School Program on International Law and Armed Conflict, luty 2015. http://dx.doi.org/10.54813/ktkl6017.

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The number, range, and scope of intergovernmental entities and initiatives with a counterterrorism component have grown significantly in recent years. Today, a web of counterterrorism laws, policies, and enforcement approaches is developed and overseen by over 70 international institutions, bodies, and networks around the world. These efforts focus on everything from promulgating international legal rules to developing global policy standards, from drafting model criminal laws to promoting intelligence- and information-sharing. To date, the full scope of these efforts has not, to our knowledge, been captured in one place. We set out to identify and summarize these efforts in a single online resource.
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Ito, Rodrigo, Diego Chavarro, Tommaso Ciarli, Robin Cowan i Fabiana Visentin. Connecting the Dots: The Role of Internationally Mobile Scientists in Linking Nonmobile with Foreign Scientists. Inter-American Development Bank, styczeń 2024. http://dx.doi.org/10.18235/0005541.

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Studying and working abroad, internationally mobile scientists meet foreign scientists and become carriers of knowledge. The benefits of international scientific mobility might extend to nonmobile colleagues who collaborate with mobile scientists. In this paper, we investigate the role played by Brazilian and Colombian scientists who are mobile in connecting nonmobile scientists with foreign scientists. We combine publicly available data from online curriculum vitae (CVs), scholarship programs, and publications in OpenAlex. We analyze a large sample covering approximately 70 percent of scientists for both countries and their coauthorship networks between 1990 and 2021, combining panel estimations and a difference-in-differences (DiD) event study. We find that nonmobile scientists who coauthor with mobile scientists coauthor more publications with foreign scientists. The number of collaborations by nonmobile scientists with foreign scientists increases with the number of unique mobile scientists the nonmobile scientists interact with. This is because the effect of collaborating with a unique mobile scientist is short-lived. Results suggest that mobile scientists who stay abroad more (diaspora) may be the most effective in creating connections with foreign scientists. Our paper contributes to the literature on scientific mobility and brain drain. We provide first insights into the spillover generated by mobility experiences in connecting nonmobile scientists with foreign scientists. Our results indicate a need to increase brain gain and reduce brain drain from home countries by increasing the links between mobile scientists and nonmobile scientists.
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Milek, Karen, i Richard Jones, red. Science in Scottish Archaeology: ScARF Panel Report. Society of Antiquaries of Scotland, wrzesień 2012. http://dx.doi.org/10.9750/scarf.06.2012.193.

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The main recommendations of the panel report can be summarised under four key headings:  High quality, high impact research: the importance of archaeological science is reflected in work that explores issues connected to important contemporary topics, including: the demography of, the nature of movement of, and contact between peoples; societal resilience; living on the Atlantic edge of Europe; and coping with environmental and climatic change. A series of large-scale and integrated archaeological science projects are required to stimulate research into these important topics. To engage fully with Science in Scottish Archaeology iv these questions data of sufficient richness is required that is accessible, both within Scotland and internationally. The RCAHMS’ database Canmore provides a model for digital dissemination that should be built on.  Integration: Archaeological science should be involved early in the process of archaeological investigation and as a matter of routine. Resultant data needs to be securely stored, made accessible and the research results widely disseminated. Sources of advice and its communication must be developed and promoted to support work in the commercial, academic, research, governmental and 3rd sectors.  Knowledge exchange and transfer: knowledge, data and skills need to be routinely transferred and embedded across the archaeological sector. This will enable the archaeological science community to better work together, establishing routes of communication and improving infrastructure. Improvements should be made to communication between different groups including peers, press and the wider public. Mechanisms exist to enable the wider community to engage with, and to feed into, the development of the archaeological and scientific database and to engage with current debates. Projects involving the wider community in data generation should be encouraged and opportunities for public engagement should be pursued through, for example, National Science Week and Scottish Archaeology Month.  Networks and forums: A network of specialists should be promoted to aid collaboration, provide access to the best advice, and raise awareness of current work. This would be complemented by creating a series inter-disciplinary working groups, to discuss and articulate archaeological science issues. An online service to match people (i.e. specialist or student) to material (whether e.g. environmental sample, artefactual assemblage, or skeletal assemblage) is also recommended. An annual meeting should also be held at which researchers would be able to promote current and future work, and draw attention to materials available for analysis, and to specialists/students looking to work on particular assemblages or projects. Such meetings could be rolled into a suitable public outreach event.
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Zeng, Jing, Qing Liu, Zhengfang Lei, Zhe Sun i Yang Wang. Evaluation of Integrated Neuromuscular Training on the Recovery of Joint Injury: A Meta-Analysis and Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, grudzień 2021. http://dx.doi.org/10.37766/inplasy2021.12.0136.

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Review question / Objective: This study will provide new evidence for the effect of integrated neuromuscular training on the recovery of joint injury. Information sources: According to the PICOS principle, the third and fourth authors of this paper searched PsycINFO, Science direct, PubMed, Eric, Willey, China Knowledge Network (CNKI) Academic Journal Online Publishing General Library and China Knowledge Network (CNKI) excellent doctoral thesis full-text database by computer to collect relevant research on the impact of INT on joint injury repair. The time limit of injury retrieval is from the establishment of the database to December 2021.
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Babenko, Vitalina O., Roman M. Yatsenko, Pavel D. Migunov i Abdel-Badeeh M. Salem. MarkHub Cloud Online Editor as a modern web-based book creation tool. [б. в.], lipiec 2020. http://dx.doi.org/10.31812/123456789/3858.

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The main criterion for the competitiveness of a teacher or expert in the field of science is a good ability to present their knowledge to students in an interactive form without spending a lot of time in preparation. The purpose of the study is to analyze modern editors to create educational information content in the modern educational space and to present a modern tool for creating web books based on the latest IT technologies. Modern editors of web material creation have been analyzed, statistics of situations on mastering of knowledge by listeners, using interactive methods of information submission have been investigated. Using the WYSIWYG concept and analyzing modern information tools for presenting graphic material, an effective tool for teaching interactive web material was presented. An adapted version of the MarkHub online editor based on cloud technologies is presented. Using MarkHub cloud-based online editor for the unified development of educational content can significantly increase the author’s productivity in the content creation process. At the same time, the effects of reducing the time spent on formatting the external presentation of the content, making synchronous changes to different versions of the content, tracking the versions of the content, organizing remote teamwork in the network environment are achieved.
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Barjum, Daniel. PDIA for Systems Change: Tackling the Learning Crisis in Indonesia. Research on Improving Systems of Education (RISE), wrzesień 2022. http://dx.doi.org/10.35489/bsg-rise-ri_2022/046.

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Indonesia is facing a learning crisis. While schooling has increased dramatically in the last 30 years, the quality of education has remained mediocre (Rosser et al., 2022). Teacher capability is an often cited weakness of the system, along with policies and system governance. Approaches focused primarily on adding resources to education have not yielded expected outcomes of increased quality. “It is a tragedy that in the second decade of the twenty-first century, some children in Indonesia are not completing primary school and are turned out into the workforce as functional illiterates.” (Suryadarma and Jones, 2013; Nihayah et al., 2020). In the early 2000s, Indonesia began a process of decentralising service delivery, including education, to the district level. Many responsibilities were transferred from the central government to districts, but some key authorities, such as hiring of civil service teachers, remained with the central government. The Indonesian system is complex and challenging to manage, with more than 300 ethnic groups and networks of authority spread over more than 500 administrative districts (Suryadarma and Jones, 2013). Niken Rarasati and Daniel Suryadarma researchers at SMERU, an Indonesian think tank and NGO, understood this context well. Their prior experience working in the education sector had shown them that improving the quality of education within the classroom required addressing issues at the systems level (Kleden, 2020). Rarasati noted the difference in knowledge between in-classroom teaching and the systems of education: “There are known-technologies, pedagogical theories, practices, etc. for teaching in the classroom. The context [for systems of education] is different for teacher development, recruitment, and student enrollment. Here, there is less known in the public and education sector.” Looking for ways to bring changes to policy implementation and develop capabilities at the district level, SMERU researchers began to apply a new approach they had learned in a free online course offered by the Building State Capability programme at the Center for International Development at Harvard University titled, “The Practice of PDIA: Building Capability by Delivering Results”. The course offered insights on how to implement public policy in complex settings, focused on using Problem Driven Iterative Adaptation (PDIA). The researchers were interested in putting PDIA into practice and seeing if it could be an effective approach for their colleagues in government. This case study reviews Rarasati and Suryadarma’s journey and showcases how they used PDIA to foster relationships between local government and stakeholders, and bring positive changes to the education sector.
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Werny, Rafaela, Marie Reich, Miranda Leontowitsch i Frank Oswald. EQualCare Policy Report Germany : Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone. Frankfurter Forum für interdisziplinäre Alternsforschung, Goethe-Universität Frankfurt am Main, październik 2022. http://dx.doi.org/10.21248/gups.69905.

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The policy review is part of the project EQualCare: Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone, a three-year international project involving four countries: Finland, Germany, Latvia and Sweden. EQualCare interrogates inequalities by gender, cultural and socio-economic background between countries, with their different demographics and policy backgrounds. As a first step into empirical analysis, the policy review aims to set the stage for a better understanding of, and policy development on, the intersections of digitalisation with intergenerational care work and care relationships of older people living alone in Germany. The policy review follows a critical approach, in which the problems policy documents address are not considered objective entities, but rather discursively produced knowledge that renders visible some parts of the problem which is to be solved as other possible perspectives are simultaneously excluded. Twenty publicly available documents were studied to analyse the processes in which definitions of care work and digital (in)equalities are circulated, translated and negotiated between the different levels of national government, regional governments and municipalities as well as other agencies in Germany. The policy review consists of two parts: a background chapter providing information on the social structure of Germany, including the historical development of Germany after the Second World War, its political structure, information on the demographic situation with a focus on the 60+ age group, and the income of this age group. In addition, the background presents the structure of work and welfare, the organisation of care for old people, and the state of digitalisation in Germany. The analysis chapter includes a description of the method used as well as an overview of the documents chosen and analysed. The focus of this chapter is on the analysis of official documents that deal with the interplay of living alone in old age, care, and digitalisation. The analysis identified four themes: firstly, ageing is framed largely as a challenge to society, whereas digitalisation is framed as a potential way to tackle social challenges, such as an ageing society. Secondly, challenges of ageing, such as need of care, are set at the individual level, requiring people to organise their care within their own families and immediate social networks, with state support following a principle of subsidiarity. Thirdly, voluntary peer support provides the basis for addressing digital support needs and strategies. Publications by lobby organisations highlight the important work done by voluntary peer support for digital training and the benefits this approach has; they also draw attention to the over-reliance on this form of unpaid support and call for an increase in professional support in ensuring all older people are supported in digital life. Fourthly, ageing as a hinderance to participation in digital life is seen as an interim challenge among younger old people already online.
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Bowman, Steve, Relu Burlacu, John Crofts, Debi Kilb, Keith Koper, Emily Morton i Debbie Worthen. On the Feasibility of Implementing an Earthquake Early Warning (EEW) System in Utah. Utah Geological Survey, styczeń 2024. http://dx.doi.org/10.34191/eew-2023.

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Streszczenie:
The Utah Legislature, in the 2022 General Session, appropriated funding to study the feasibility of implementing an Earthquake Early Warning (EEW) system in Utah. Funding was provided to the three primary agencies in the Utah Earthquake Program—the Utah Division of Emergency Management (UDEM), the Utah Geological Survey (UGS), and the University of Utah Seismograph Stations (UUSS). The study consisted of four main activities: (1) reviewing the history and development of EEW systems within the U.S. and around the world; (2) assessing the potential performance of an EEW system in Utah; (3) determining what enhancements to the existing Utah seismic network would be needed to implement an EEW system; and (4) conducting an online survey of Utah stakeholders to assess their knowledge of and potential interest in an EEW system.
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Brown, Nicholas, Hannah Macdonell, Emilie Stewart-Jones i Stephan Gruber. Permafrost Data Systems: RCOP 2021 Data Workshop Report. NSERC/Carleton University, listopad 2021. http://dx.doi.org/10.22215/pn/10121001.

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NSERC PermafrostNet hosted a data systems workshop at the 2021 Regional Conference on Permafrost, held online in October 2021. The workshop featured invited speakers Ashley Rudy from the Northwest Territories Geological Survey and Jeanette Nötzli from the Swiss Permafrost Monitoring Network (PERMOS). Attendees participated in breakout rooms and plenary discussion to identify current problems and limitations with permafrost data systems and to recommend how efforts can be better connected or coordinated. The final report summarizes the conclusions and provides a record of the interactions and discussions that occurred. The workshop follows the 2020 Permafrost Data Workshop, which highlighted the importance of a community of practice and ongoing communication to improve the interoperability of permafrost data. In addition to the concrete objectives of identifying challenges and recommendations, the 2021 workshop was a way for members of the permafrost community to share ideas, and to cross-pollinate knowledge between sectors and disciplines of permafrost science.
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