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  • Digital Humanities and Cultural Heritage
  • 2014-2023
  • Research software
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Grimaldi Clarkson, Christine A.;

    This thesis interprets the role the rock art at CA-MRP-402 played in the cultural landscape for the people who created the images. Located in Mariposa County, California, this site exhibits 103 rock art panels. By combining formal landscape methods, ritual theory, ethnography, field research, and excavation, this thesis explores the activities that took place at CA-MRP-402, how this site fits into the broader cultural landscape, and why the cultural landscape of this site attracted people to mark this place. These efforts reveal that ancient Native Americans intentionally altered the landscape of CA-MRP-402 to create an astronomical observation area and generate consistent equinoctial solar and shadow alignments. This area may have afforded a type of calendar that allowed shaman astronomers to know when it was time to perform necessary rituals. Most of the rock art at CA-MRP-402 was likely created by shaman astronomers as part of their ritual interactions with the celestial beings. This study also serves to validate this multifaceted contextual approach.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Lamanna, Giovanni; Bird, Ian; Petzold, Andreas; Asmi, Ari; +6 Authors

    THE SCIENCE CLUSTERS are EU collaborative projects that were launched in 2019 to link ESFRI and other world-class Research Infrastructures (RIs) to the European Open Science Cloud (EOSC). The main impacts of the Science Clusters’ work programme concern: the improved access of researchers to data, tools and resources, leading to new insights and innovation for data-driven science both within and beyond the context of the domains in which the clusters are rooted; the creation of a cross-border open innovation environment for FAIR (Findable, Accessible, Interoperable and Reusable) data management for economies of scale, to develop synergies and rise the efficiency and productivity of researchers through open-science standards and thematic services; the enhanced co-developments to foster the cross-domain interoperability central to the EOSC goal. The Science Clusters are an integral part of EOSC. Their services and outcomes are now forming the core of the emerging EOSC fabric. As important partners of EOSC, Science Clusters contribute to its development and its implementation process. Importantly, the Science Clusters form a natural collaboration between the ESFRI RIs’ management boards partners in the clusters. As EOSC matures and begins delivering data and services for European research, a discussion is needed to stimulate the Open Science practices, cross-domain interoperability and long-term coordination of the scientific communities covered by the five Science Clusters. This position paper contributes formally to explain the urgent need of EC to support a longer-term role of the five Science Clusters to provide content to the EOSC, to enhance researchers’ involvement in Open Science and to suggest potential cooperative pathways in the Horizon-Europe framework and along with the EOSC Association roadmap. This paper is aimed at highlighting: Expectations of the clusters and the concerned research communities, pointing out a common structured vision and a series of suggestions for the future. A more detailed analysis from each cluster, that is provided for completeness.

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    Other ORP type . 2021
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    https://doi.org/10.5281/zenodo...
    Other ORP type . 2021
    License: CC BY
    Data sources: Sygma
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      https://doi.org/10.5281/zenodo...
      Other ORP type . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rettberg, Jill Walker; Berry, David M.; Borra, Erik; Helmond, Anne; +1 Authors

    This paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Norwegian Open Resea...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Koutroumpi, Eirini;

    Political language's power to influence public opinion drives the present investigation into proverbs used by presidents during 1945-2008. The study’s purpose is to explore the proverbial language of American presidents, employing a digital methods approach. In addition to the predominant use of quantitative and comparative analyses, qualitative analysis is also occasionally employed. The research examines proverb frequency, patterns, and shifts in political speeches, revealing shared trends and distinctive usage of the proverbs. It also considers presidency duration and political circumstances, uncovering the presidents that favored proverbs in their discourses. Adopting computational means and tools, the study intends to cover gaps in existing research by quantifying proverb usage, focusing on the nuanced sociopolitical fabric. The research is based on vast bibliographic references including studies conducted by old paremiologists, as well as modern computational endeavors. Although the proverbs’ nature involves challenges such as metaphoricity, and existence of variants can cause difficulties in their identification by the tools, the research has been completed, answered all research questions that spanned proverb presence, evolution, and disparities among presidents' speeches, and produced interesting results. Overall, the research enhances understanding of proverbs' role in political discourse, revealing how politicians shape leadership communication through language. Due to the fact that all data was retrieved by open accessed sources, the research has not encountered any copyright issues. Some of the findings were expected, while others were unpredicted. The alternating sequence of challenges and achievements resulted in an understanding of previously raised questions as well as the need to tackle new ones.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Digitala Vetenskapli...arrow_drop_down
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    Authors: Zhang, Xiaoyu;

    In the past decade, the proliferation of data and the emergence of large language models have presented both opportunities and challenges in academia. The expanding volume of data, which records knowledge from various human activities, enables data-driven approaches to optimizing numerous aspects of industrial manufacturing and people's daily life. These improvements largely stem from machine learning models trained with this data. However, the industry still faces limitations in both extracting knowledge from large, unstructured, or heterogeneous datasets and transforming the extracted knowledge into actionable insights. This challenge is exacerbated in highly specialized domains where only a few analysts possess the expertise to interpret the data. Despite the recent advancements of large language models providing more intelligent assistance for many data analysis tasks, it remains essential to ensure that these machine learning models and the knowledge they encompass are safe to use and employed for social good with human verification.In my dissertation work, I develop visual analytics (VA) and human-computer interaction (HCI) methodologies for representing and interacting with various forms of knowledge and data, particularly text data. I propose a visual knowledge discovery framework that integrates human expertise with computational approaches throughout the knowledge discovery process, while also addressing the limited availability of domain experts and the increasing scale of data. Moreover, I investigate how visual analytics can efficiently and safely harness extensive knowledge from large machine learning models, enabling users to effectively steer the exploration process and make well-informed decisions. This dissertation presents six published research works organized around my visual knowledge discovery framework and its three key tasks: knowledge exploration, knowledge presentation, and knowledge exploitation. Firstly, I demonstrate how visual analytics can support knowledge exploration with large, high-dimensional, and heterogeneous data in the domain of manufacturing and machine maintenance. Subsequently, I introduce two knowledge presentation solutions for two distinct types of data—numerical data facts and unstructured text data. Lastly, I showcase three visually-assisted knowledge exploitation applications in various domains and scenarios, encompassing document summarization, technical text annotation, and data-driven machine learning model validation.My work demonstrates how mixed-initiative methods through visual analytics applications can resolve real-world challenges in highly-specialized domains. I leverage state-of-the-art machine learning techniques, particularly natural language processing models, while always involving domain practitioners in the loop. My approach facilitates communication among parties with mismatched knowledge levels, including domain experts, data analysts, computer scientists, and artificial intelligence. Meanwhile, I prioritize the critical role of human knowledge and integrate it into intelligent visualization interfaces that undergo qualitative evaluations. I believe that domain experts' insights, supervision, and verification are invaluable, regardless of how advanced machine learning techniques become. Through the projects outlined in this dissertation, I hope to encourage philosophical and social discussions surrounding the rapidly expanding field of artificial intelligence. Ultimately, my objective is to contribute to a future where intelligent visual analytics systems can augment and enhance human capabilities, enabling individuals to navigate through the potential challenges brought by advanced AI techniques.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ eScholarship - Unive...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ eScholarship - Unive...arrow_drop_down
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  • Authors: Gunnar Almevik;

    The dataset represents the results from a survey that was part of the work in a research project focusing on new technologies in museums and historic environment conservation. The project is a collaboration between the University of Gothenburg and the Swedish History Museum, and financed by the National Heritage Board. The survey is aimed at professionals within the museum and historic environment conservation sectors and focuses on the use of digital immersive technology in the public sphere. The survey and the results were created in Microsoft Forms and were processed in Microsoft Excel using the Colectica plugin. The answers are a combination of open-ended questions and check boxes. The dataset contain answers to 9 questions that require answering both in checkboxes and via free text. Both the questions and the checkboxes options are shown in the documentation file. The data file shows the answers from 74 anonymous respondents from 74 different museums. Datasetet representerar resultatet från en enkät som var en del av arbetet i ett forskningsprojekt om nya teknologier i museum och kulturmiljövård. Projektet genomfördes i samarbete mellan Göteborgs universitet och Historiska Museet och finansierades av Riksantikvarieämbetet. Enkäten vände sig till professionella aktörer inom museer och kulturmiljövård och handlar om användningen av digitala immersiva teknologier i publik verksamhet. Enkäten och resultatet skapades med Microsoft Forms och bearbetades i Microsoft Excel med pluginen Colectica. Svaren är en blandning av fritext och envalsfrågor. Datasetet innehåller svar till 9 frågor som kräver svar både på envalsfrågor och fritext. Frågefält och svarsalternativ finns redovisade i dokumentationsfilen. I datafilen finns svar från 74 anonym respondenter från 74 olika museer The survey was sent to 181 museums in Sweden, 74 of whom answered. The contact with the museums was partially anonymous. The survey was first and foremost sent to a general e-mail address but where this wasn't possible, the survey was sent to appropriate contact persons. The museum then made the decision themselves who within the organisation would be responsible for filling in the survey. Enkäten skickades till 181 museer i Sverige, varav 74 svarade. Kontakten med museerna var delvis anonym. Enkäterna har i första hand skickats till funktionsadresser men där så inte var möjligt skickades e-post till lämpliga kontaktpersoner. Museerna har sedan själva fått välja vem i organisationen som svarar på enkäten. Survey Enkät Self-administered questionnaire: web based Självadministrerat frågeformulär: webbaserat

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Spanier, Felix;
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Wadhwa, Parul;

    This thesis explores the development of a virtual reality documentary piece Sandbox of Memory. Sandbox of Memory is a story of personal memory. The accidental discovery of a forgotten briefcase leads Navdha Malhotra to discover the lost history of her grandfather, a refugee from the partition of India. She uncovers a treasure trove of identity. His refugee documents, degree certificates, passport and personal journal entries reveal to her the man he was in India under British colonial rule. This thesis paper describes my experiences developing Sandbox of Memory and outlines some of the lessons learned, setbacks, and successes. The project constitutes my first attempt at an immersive documentary. The set of core research questions relates to the significance of alternative and forgotten histories, oral storytelling, and experience in the emerging medium of virtual reality. Keywords: documentary, post-colonial theory, virtual reality, oral histories, memory, trauma, forced migration, erased history, marginalized narratives, testimony, truth, cultural identity.

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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • Authors: Noblet, Axel; Caravaca, Gwénaël; Le Mouélic, Stéphane; Massé, Marion; +1 Authors

    The rover Perseverance of the Mars2020 mission will depart to Mars in July 2020 and land on Mars in February 2021. Its landing site, Jezero crater, has been selected due to the presence of two fan deltas, inlet and outlet valleys and a huge number of aqueous landforms (fluvial and lacustrine sediments).This morpho-stratigraphic map has been produced from orbital visible imagery and its interpretations take into account the orbital facies (layers, massive, etc.) and their stratigraphic relationships, the texture and albedo of terrains, without taking into account mineralogical data. The area studied here is centered around the landing area comprising the east of the fan delta and the west of the crater floor. The map has been done at 1:10,000 scale. Geomorphologic map (1:10 000) of the delta and landing ellipse of Mars2020 Perseverance rover in Jezero crater, Mars

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    Authors: Rosson, Lois Ruby;

    This dissertation examines how the practice of astronomical illustration changed and expanded over the course of the twentieth century Space Age. In the United States, the post-war period transformed outer space into a geopolitically significant environment, reorienting the authoritative picturing of space from a practice housed primarily within European astronomical observatories to one with commercial viability in American science and popular culture. In the absence of cameras capable of rendering the space environment, individual illustrators filled in pictorial gaps by hand. Between the years of 1944 and 1987, illustrators developed an aesthetic of neutrality that visually signaled the scientific accuracy of their work. This aesthetic privileged a style of representation that mirrored the technical impartiality of cameras, collapsing distinctions between “most realistic” looking with “most photographic.” The visual clarity of photographic resolution became the standard for the most successful illustrations, even though most subjects depicted required a degree of artistic license to be made visible at all. This dissertation examines the visual techniques developed to reproduce photographic-looking illustrations of unphotographable places. The status of these images as utilitarian was negotiated via a complex web of group consensus and proximity to places like NASA, educational programming at planetariums, and public television. Examining midcentury astronomical illustration as a cultural product instead of neutral technical output offers a new entry point into the visual culture of the Space Age in the United States. This study underscores the way in which socially constructed expectations about the space environment were coded into objective-looking images.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Grimaldi Clarkson, Christine A.;

    This thesis interprets the role the rock art at CA-MRP-402 played in the cultural landscape for the people who created the images. Located in Mariposa County, California, this site exhibits 103 rock art panels. By combining formal landscape methods, ritual theory, ethnography, field research, and excavation, this thesis explores the activities that took place at CA-MRP-402, how this site fits into the broader cultural landscape, and why the cultural landscape of this site attracted people to mark this place. These efforts reveal that ancient Native Americans intentionally altered the landscape of CA-MRP-402 to create an astronomical observation area and generate consistent equinoctial solar and shadow alignments. This area may have afforded a type of calendar that allowed shaman astronomers to know when it was time to perform necessary rituals. Most of the rock art at CA-MRP-402 was likely created by shaman astronomers as part of their ritual interactions with the celestial beings. This study also serves to validate this multifaceted contextual approach.

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    Authors: Lamanna, Giovanni; Bird, Ian; Petzold, Andreas; Asmi, Ari; +6 Authors

    THE SCIENCE CLUSTERS are EU collaborative projects that were launched in 2019 to link ESFRI and other world-class Research Infrastructures (RIs) to the European Open Science Cloud (EOSC). The main impacts of the Science Clusters’ work programme concern: the improved access of researchers to data, tools and resources, leading to new insights and innovation for data-driven science both within and beyond the context of the domains in which the clusters are rooted; the creation of a cross-border open innovation environment for FAIR (Findable, Accessible, Interoperable and Reusable) data management for economies of scale, to develop synergies and rise the efficiency and productivity of researchers through open-science standards and thematic services; the enhanced co-developments to foster the cross-domain interoperability central to the EOSC goal. The Science Clusters are an integral part of EOSC. Their services and outcomes are now forming the core of the emerging EOSC fabric. As important partners of EOSC, Science Clusters contribute to its development and its implementation process. Importantly, the Science Clusters form a natural collaboration between the ESFRI RIs’ management boards partners in the clusters. As EOSC matures and begins delivering data and services for European research, a discussion is needed to stimulate the Open Science practices, cross-domain interoperability and long-term coordination of the scientific communities covered by the five Science Clusters. This position paper contributes formally to explain the urgent need of EC to support a longer-term role of the five Science Clusters to provide content to the EOSC, to enhance researchers’ involvement in Open Science and to suggest potential cooperative pathways in the Horizon-Europe framework and along with the EOSC Association roadmap. This paper is aimed at highlighting: Expectations of the clusters and the concerned research communities, pointing out a common structured vision and a series of suggestions for the future. A more detailed analysis from each cluster, that is provided for completeness.

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    https://doi.org/10.5281/zenodo...
    Other ORP type . 2021
    License: CC BY
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    Authors: Rettberg, Jill Walker; Berry, David M.; Borra, Erik; Helmond, Anne; +1 Authors

    This paper documents the results of an intensive "data sprint" method for undertaking data and algorithmic work using application programming interfaces (APIs), which took place during the Digital Method Initiative 2013 Winter School at the University of Amsterdam. During this data sprint, we developed a method to map the fields of Digital Humanities and Electronic Literature based on title recommendations from the largest online bookseller, Amazon, by retrieving similar purchased items from the Amazon API. A first step shows the overall Amazon recommendation network for Digital Humanities and allows us to detect clusters, aligned fields and bridging books. In a second step we looked into four country-specific Amazon stores (Amazon.com, Amazon.co.uk, Amazon.fr and Amazon.de) to investigate the specificities of the Digital Humanities in these four countries. The third step is a network of all books suggested for the Electronic Literature field in the four Amazon stores we searched, which offers a comparison to the field of Digital Humanities.

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    Authors: Koutroumpi, Eirini;

    Political language's power to influence public opinion drives the present investigation into proverbs used by presidents during 1945-2008. The study’s purpose is to explore the proverbial language of American presidents, employing a digital methods approach. In addition to the predominant use of quantitative and comparative analyses, qualitative analysis is also occasionally employed. The research examines proverb frequency, patterns, and shifts in political speeches, revealing shared trends and distinctive usage of the proverbs. It also considers presidency duration and political circumstances, uncovering the presidents that favored proverbs in their discourses. Adopting computational means and tools, the study intends to cover gaps in existing research by quantifying proverb usage, focusing on the nuanced sociopolitical fabric. The research is based on vast bibliographic references including studies conducted by old paremiologists, as well as modern computational endeavors. Although the proverbs’ nature involves challenges such as metaphoricity, and existence of variants can cause difficulties in their identification by the tools, the research has been completed, answered all research questions that spanned proverb presence, evolution, and disparities among presidents' speeches, and produced interesting results. Overall, the research enhances understanding of proverbs' role in political discourse, revealing how politicians shape leadership communication through language. Due to the fact that all data was retrieved by open accessed sources, the research has not encountered any copyright issues. Some of the findings were expected, while others were unpredicted. The alternating sequence of challenges and achievements resulted in an understanding of previously raised questions as well as the need to tackle new ones.

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    Authors: Zhang, Xiaoyu;

    In the past decade, the proliferation of data and the emergence of large language models have presented both opportunities and challenges in academia. The expanding volume of data, which records knowledge from various human activities, enables data-driven approaches to optimizing numerous aspects of industrial manufacturing and people's daily life. These improvements largely stem from machine learning models trained with this data. However, the industry still faces limitations in both extracting knowledge from large, unstructured, or heterogeneous datasets and transforming the extracted knowledge into actionable insights. This challenge is exacerbated in highly specialized domains where only a few analysts possess the expertise to interpret the data. Despite the recent advancements of large language models providing more intelligent assistance for many data analysis tasks, it remains essential to ensure that these machine learning models and the knowledge they encompass are safe to use and employed for social good with human verification.In my dissertation work, I develop visual analytics (VA) and human-computer interaction (HCI) methodologies for representing and interacting with various forms of knowledge and data, particularly text data. I propose a visual knowledge discovery framework that integrates human expertise with computational approaches throughout the knowledge discovery process, while also addressing the limited availability of domain experts and the increasing scale of data. Moreover, I investigate how visual analytics can efficiently and safely harness extensive knowledge from large machine learning models, enabling users to effectively steer the exploration process and make well-informed decisions. This dissertation presents six published research works organized around my visual knowledge discovery framework and its three key tasks: knowledge exploration, knowledge presentation, and knowledge exploitation. Firstly, I demonstrate how visual analytics can support knowledge exploration with large, high-dimensional, and heterogeneous data in the domain of manufacturing and machine maintenance. Subsequently, I introduce two knowledge presentation solutions for two distinct types of data—numerical data facts and unstructured text data. Lastly, I showcase three visually-assisted knowledge exploitation applications in various domains and scenarios, encompassing document summarization, technical text annotation, and data-driven machine learning model validation.My work demonstrates how mixed-initiative methods through visual analytics applications can resolve real-world challenges in highly-specialized domains. I leverage state-of-the-art machine learning techniques, particularly natural language processing models, while always involving domain practitioners in the loop. My approach facilitates communication among parties with mismatched knowledge levels, including domain experts, data analysts, computer scientists, and artificial intelligence. Meanwhile, I prioritize the critical role of human knowledge and integrate it into intelligent visualization interfaces that undergo qualitative evaluations. I believe that domain experts' insights, supervision, and verification are invaluable, regardless of how advanced machine learning techniques become. Through the projects outlined in this dissertation, I hope to encourage philosophical and social discussions surrounding the rapidly expanding field of artificial intelligence. Ultimately, my objective is to contribute to a future where intelligent visual analytics systems can augment and enhance human capabilities, enabling individuals to navigate through the potential challenges brought by advanced AI techniques.

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  • Authors: Gunnar Almevik;

    The dataset represents the results from a survey that was part of the work in a research project focusing on new technologies in museums and historic environment conservation. The project is a collaboration between the University of Gothenburg and the Swedish History Museum, and financed by the National Heritage Board. The survey is aimed at professionals within the museum and historic environment conservation sectors and focuses on the use of digital immersive technology in the public sphere. The survey and the results were created in Microsoft Forms and were processed in Microsoft Excel using the Colectica plugin. The answers are a combination of open-ended questions and check boxes. The dataset contain answers to 9 questions that require answering both in checkboxes and via free text. Both the questions and the checkboxes options are shown in the documentation file. The data file shows the answers from 74 anonymous respondents from 74 different museums. Datasetet representerar resultatet från en enkät som var en del av arbetet i ett forskningsprojekt om nya teknologier i museum och kulturmiljövård. Projektet genomfördes i samarbete mellan Göteborgs universitet och Historiska Museet och finansierades av Riksantikvarieämbetet. Enkäten vände sig till professionella aktörer inom museer och kulturmiljövård och handlar om användningen av digitala immersiva teknologier i publik verksamhet. Enkäten och resultatet skapades med Microsoft Forms och bearbetades i Microsoft Excel med pluginen Colectica. Svaren är en blandning av fritext och envalsfrågor. Datasetet innehåller svar till 9 frågor som kräver svar både på envalsfrågor och fritext. Frågefält och svarsalternativ finns redovisade i dokumentationsfilen. I datafilen finns svar från 74 anonym respondenter från 74 olika museer The survey was sent to 181 museums in Sweden, 74 of whom answered. The contact with the museums was partially anonymous. The survey was first and foremost sent to a general e-mail address but where this wasn't possible, the survey was sent to appropriate contact persons. The museum then made the decision themselves who within the organisation would be responsible for filling in the survey. Enkäten skickades till 181 museer i Sverige, varav 74 svarade. Kontakten med museerna var delvis anonym. Enkäterna har i första hand skickats till funktionsadresser men där så inte var möjligt skickades e-post till lämpliga kontaktpersoner. Museerna har sedan själva fått välja vem i organisationen som svarar på enkäten. Survey Enkät Self-administered questionnaire: web based Självadministrerat frågeformulär: webbaserat

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    Authors: Spanier, Felix;
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ North-West Universit...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ North-West Universit...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Wadhwa, Parul;

    This thesis explores the development of a virtual reality documentary piece Sandbox of Memory. Sandbox of Memory is a story of personal memory. The accidental discovery of a forgotten briefcase leads Navdha Malhotra to discover the lost history of her grandfather, a refugee from the partition of India. She uncovers a treasure trove of identity. His refugee documents, degree certificates, passport and personal journal entries reveal to her the man he was in India under British colonial rule. This thesis paper describes my experiences developing Sandbox of Memory and outlines some of the lessons learned, setbacks, and successes. The project constitutes my first attempt at an immersive documentary. The set of core research questions relates to the significance of alternative and forgotten histories, oral storytelling, and experience in the emerging medium of virtual reality. Keywords: documentary, post-colonial theory, virtual reality, oral histories, memory, trauma, forced migration, erased history, marginalized narratives, testimony, truth, cultural identity.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao eScholarship - Unive...arrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao eScholarship - Unive...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao