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Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work. [ABSTRACT FROM AUTHOR]

In this paper, we are concerned about the nature of information and how to gather and compose data with the help of so called FAIR digital objects (FDOs) in order to transform them to knowledge. FDOs are digital surrogates of real objects. The nature of information is intrinsically linked to the kind of questions one is asking. One might not ask a question or get philosophical about it. Answers depend on the data different disciplines gather about their objects of study. In Statistical Physics, classical Shannon entropy measures system order which in equilibrium just equals the heat exchanged with the environment. In cell biology, each protein carries certain functions which create specific information. Cognitive science describes how organisms perceive their environment via functional sensors and control behavior accordingly. Note that one can have function and control without meaning. In contrast, psychology is concerned with the assessment of our perceptions by assigning meaning and ensuing actions. Finally, philosophy builds logical constructs and formulates principles, in effect transforming facts into complex knowledge. All these statements make sense, but there is an even more concise way. Indeed, Luciano Floridi provides a precise and thorough classification of information in his central oeuvre On the Philosophy of Information (Floridi 2013). Especially, he performs a sequential construction to develop the attributes which data need to have in order to count as knowledge. Semantic information is necessarily well-formed, meaningful and truthful. Well-formed data becomes meaningful by action based-semantics of an autonomous-agent solving the symbol grounding problem (Taddeo and Floridi 2005) interacting with the environment. Knowledge is created then by being informed through relevant data accounted for. We notice that the notion of agency is crucial for defining meaning. The apparent gap between Sciences and Humanities (Bawden and Robinson 2020) is created by the very existence of meaning. Further, meaning depends on interactions & connotations which are commensurate with the effective complexity of the environment of a particular agent resulting in an array of possible definitions. In his classical paper More is different (Anderson 1972) discussed verbatim the hierarchical nature of science. Each level is made of and obeys the laws of its constituents from one level below with the higher-level exhibiting emergent properties like wetness of water assignable only to the whole system. As we rise through the hierarchies, there is a branch of science for each level of complexity; on each complexity level there are objects for which it is appropriate and fitting to build up vocabulary for the respective levels of description leading to formation of disciplinary languages. It is the central idea of causal emergence that on each level there is an optimal degree of coarse graining to define those objects in such a way that causality becomes maximal between them. This means there is emergence of informative higher scales in complex materials extending to biological systems and into the brain with its neural networks representing our thoughts in a hierarchy of neural correlates. A computational toolkit for optimal level prediction and control has been developed (Hoel and Levin 2020) which was conceptually extended to integrated information theory of consciousness (Albantakis et al. 2019). The large gap between sciences and humanities discussed above exhibits itself in a series of small gaps connected to the emergence of informative higher scales. It has been suggested that the origin of life may be identified as a transition in causal structure and information flow (Walker 2014). Integrated information measures globally how much the causal mechanisms of a system reduce the uncertainty about the possible causes for a given state. A measure of "information flow" that accurately captures causal effects has been proposed (Ay and Polani 2008). The state of the art is presented in (Ay et al. 2022) where the link between information and complexity is discussed. Ay et al single out hierarchical systems and interlevel causation. Even further, (Rosas et al. 2020) reconcile conflicting views of emergence via an exact information-theoretic approach to identify causal emergence in multivariate data. As information becomes differentially richer one eventually needs complexity measures beyond {R }. One may define generalized metrices on these spaces (Pirró 2009) measuring information complexity on ever higher hierarchical levels of information. As one rises through hierarchies, information on higher scale is usually gained by coarse graining to arrive at an effective, nevertheless exact description, on the higher scale. It is repeated coarse graining of syntactically well-ordered information layers which eventually leads to semantic information in a process which I conjecture to be reminiscent of renormalization group flow leading to a universal classification scheme. Thus, we identify scientific disciplines and their corresponding data sets as dual universality classes of physical and epistemic structure formation, respectively. Above the semantic gap, we may call this process quantification of the qualitative by semantic metrics. Indeed, (Kolchinsky and Wolpert 2018) explored for the first time quantitative semantic concepts in Physics in their 2018 seminal paper entitled Semantic information, autonomous agency and non-equilibrium statistical physics. Their measures are numeric variants of entropy. Semantic information is identified with 'the information that a physical system has about its environment that is causally necessary for the system to maintain its own existence over time'. FDOs are employed in these processes in two fundamental ways. For practical implementations of FDO technology, see accompanying abstract (Wittenburg et al. 2022). First, the FAIR principles (Wilkinson et al. 2016) ensure that unconnected pieces of data may be percolated into an integrated data space. Percolation creates the information density needed to feed AI-driven built up of semantic space. Without FDOs we wouldn't have the gravity for this to occur. Second, the very structure of FDOs, capable of symmetry preserving or breaking fusion events into composed entities, makes them homologous to mathematical categories. This will proof to be a powerful tool to unravel the nature of information via analyzing its topological structure algebraically, especially when considering our conjecture concerning universality, classes of information and their possible instantiations on vastly different length and time scales, in effect explaining analogous structure formation. [ABSTRACT FROM AUTHOR]

Combining computational technologies and humanities is an ongoing effort aimed at making resources such as texts, images, audio, video, and other artifacts digitally available, searchable, and analyzable. In recent years, deep neural networks (DNN) dominate the field of automatic text analysis and natural language processing (NLP), in some cases presenting a super‐human performance. DNNs are the state‐of‐the‐art machine learning algorithms solving many NLP tasks that are relevant for Digital Humanities (DH) research, such as spell checking, language detection, entity extraction, author detection, question answering, and other tasks. These supervised algorithms learn patterns from a large number of "right" and "wrong" examples and apply them to new examples. However, using DNNs for analyzing the text resources in DH research presents two main challenges: (un)availability of training data and a need for domain adaptation. This paper explores these challenges by analyzing multiple use‐cases of DH studies in recent literature and their possible solutions and lays out a practical decision model for DH experts for when and how to choose the appropriate deep learning approaches for their research. Moreover, in this paper, we aim to raise awareness of the benefits of utilizing deep learning models in the DH community. [ABSTRACT FROM AUTHOR]

Copyright of Revista Espanola de Comunicacion en Salud is the property of Asociacion Espanola de Comunicacion Sanitaria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article considers the interdisciplinary opportunities and challenges of working with digital cultural heritage, such as digitized historical newspapers, and proposes an integrated digital hermeneutics workflow to combine purely disciplinary research approaches from computer science, humanities, and library work. Common interests and motivations of the above‐mentioned disciplines have resulted in interdisciplinary projects and collaborations such as the NewsEye project, which is working on novel solutions on how digital heritage data is (re)searched, accessed, used, and analyzed. We argue that collaborations of different disciplines can benefit from a good understanding of the workflows and traditions of each of the disciplines involved but must find integrated approaches to successfully exploit the full potential of digitized sources. The paper is furthermore providing an insight into digital tools, methods, and hermeneutics in action, showing that integrated interdisciplinary research needs to build something in between the disciplines while respecting and understanding each other's expertise and expectations. [ABSTRACT FROM AUTHOR]

Copyright of Digital Studies / Champ Numérique is the property of Open Library of Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

As a part of the DiMPAH-project, the authors have developed an open educational resource (OER) on netnography. In this paper, the OER is presented and critically discussed as the broader problem identified during course-development is made explicit and explored through two research questions: 1) How can an OER be designed that positions netnography as a viable methodology for the digital humanities? 2) How can an OER be designed that theoretically and methodologically combines both quantitative and qualitative approaches for doing netnography? An up-to-date theoretical overview of netnography as a methodology for studying social experiences online is provided. Methodological considerations are presented, aimed for sensitizing students to nuances of active (participatory) and passive (non-participatory) netnography through two analytical concepts. The OER is presented through three case studies and a learning scenario offering flexible and authentic technology-integrated learning. Netnography is found to contribute to the digital humanities, overall characterized by method-driven and quantitative approaches, with reflexivity and a potential for critical research and pedagogy. The two analytical concepts community-based netnography and consociality-based netnography allow for a nuanced methodological understanding of how and when qualitative and quantitative approaches should be employed, and how they may complement each other. [ABSTRACT FROM AUTHOR]

The digital humanities have developed in concert with online systems that increase the accessibility and speed of learning. Whereas previously students were immersed in the fluidity of campus life, they have become suspended and drawn-into various streams and currents of digital pedagogy, which articulate new forms of epistemological movement, often operating at speeds outside the lived time and rhythm of human thought. When assessing learning technologies, we have to consider the degree to which they complement the rhythms immanent to human thought, knowledge, investigation, and experimentation. In this paper, we examine learning from a humanities perspective, arguing that reading, writing, and thinking are ways of learning underscored by various genres of movement that segue with or diverge from the movements inherent to digital technologies, especially those deployed in learning systems. Using the work of thinkers such as John Dewey and Michel Serres, we examine the importance of movement in dialogue, where to truly learn involves embedding oneself in the flow of thought, accepting the flexibility of concepts, and aligning oneself with a community of thinkers. [ABSTRACT FROM AUTHOR]

Digital humanities is a result of the convergence of digital technology with social sciences and humanities. It is one of the key research areas around the world by the library and information science profession, and in cognate areas such as art and archeology. Focus groups, digital humanities centres are created for intensive researches which are located mainly in libraries as their core programmes. The library techniques and methods such as knowledge organisation, knowledge management, search and retrieval design, education, and emerging areas such as metadata, semantic mapping, ontology, thesaurus construction, digital curation, discovery services, find application in digital humanities. A new area of study, historical informatics complements the digital humanities. India has vast potential application of digital humanities with its diverse culture, customs and languages and so on. India is reckoned as one of the advanced countries in the IT sector, hence recognising the socio-cultural legacy and diverse historical background, it is viewed that digital humanities has many opportunities and applications for LIS professionals in India to contribute substantially. This paper brings together the concepts, tools, and applications of digital humanities and proposes a course of study in LIS curriculum. [ABSTRACT FROM AUTHOR]

This article advances the thesis that three decades of investments by national and international funders, combined with those of scholars, technologists, librarians, archivists, and their institutions, have resulted in a digital infrastructure in the humanities that is now capable of supporting end-to-end research workflows. The article refers to key developments in the epigraphy and paleography of the premodern period. It draws primarily on work in classical studies but also highlights related work in the adjacent disciplines of Egyptology, ancient Near East studies, and medieval studies. The argument makes a case that much has been achieved but it does not declare "mission accomplished." The capabilities of the infrastructure remain unevenly distributed within and across disciplines, institutions, and regions. Moreover, the components, including the links between steps in the workflow, are generally far from user-friendly and seamless in operation. Because further refinements and additional capacities are still much needed, the article concludes with a discussion of key priorities for future work. [ABSTRACT FROM AUTHOR]

Questions of how to sustain interest in the history of medicine and broader health sciences (HOM/HS) in a changing institutional environment, and how to collaborate with stakeholders to offer activities to do so, are on the radar for many academic health sciences centers and their libraries. This essay is an initial exploratory study of non-curricular HOM/HS efforts at United States medical schools ranked in the top thirty in primary care or research. In 2019, we collected public information pertinent to any presence of an on-campus HOM/HS community and the group's structure, including funding, activities, and the library's involvement with the group. Seventeen of forty-five institutions in the sample presented information about an institutional HOM/HS group. All posted a mission statement. Their funding varied in nature; some collected fees from members, while others relied on university support. Half were student-led. Most groups hosted regular lecture series, with fifteen groups hosting at least one annually. Six groups sponsored publications or awards. These findings indicate that several institutions with active programs offer potential models and lessons for sustaining HOM/HS communities. Beyond providing a physical or digital space in which HOM/HS groups connect, libraries play an active role in fostering some of these communities. [ABSTRACT FROM AUTHOR]

The interdisciplinary field known as digital humanities (DH) is represented in various forms in the teaching and research practiced in iSchools. Building on the work of an iSchools organization committee charged with exploring digital humanities curricula, we present findings from a series of related studies exploring aspects of DH teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Through a survey of iSchool programs and an online DH course registry, we investigate the various education models for DH training found in iSchools, followed by a detailed look at DH courses and curricula, explored through analysis of course syllabi and course descriptions. We take a brief look at collaborative disciplines with which iSchools cooperate on DH research projects or in offering DH education. Next, we explore DH careers through an analysis of relevant job advertisements. Finally, we offer some observations about the management and administrative challenges and opportunities related to offering a new iSchool DH program. Our results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives. [ABSTRACT FROM AUTHOR]

An editorial is presented on marking out the area of digital humanities (DH). Topics include suggesting further areas of study such as analysis of conferences and citations as well as diachronic representations of the ever-developing landscape of DH; and developing an integrated digital hermeneutics workflow combining research approaches from computer science and the humanities.