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The ever-growing number of scientific publications forces researchers to spend a lot of time finding the resources relevant to their academic work. Discovery platforms provide support by aggregating research data, publications, and other research resources and supporting their discoverability through recommender systems (RS). However, the use of such technologies can lead to certain biases in the selection of resources that are useful for research and can affect the choice of topics to work on, the arguments used, and ultimately the innovation potential of research. These effects are not yet well understood, and there is a lack of concrete recommendations and best practices for the development of RS for scientific discovery platforms. In this paper, guidelines for the application of RS in scientific discovery platforms are formulated, about a possible application in the Open Data Navigator, an open data discovery platform being developed as part of the Swiss project Connectome. The concept of serendipity – the phenomenon of making unexpected but valuable discoveries – is proposed as a touchstone for the usefulness of RS. The recommended guidelines aim to ensure the possibility of experiencing serendipity in a virtual environment as one of the prerequisites for innovative research. [ABSTRACT FROM AUTHOR]

The article describes an extracurricular learning opportunity for young women on the topic of Artificial Intelligence (AI) and mathematical modeling. The project course "Girls in STEM - solving real problems with math and AI" at the Karlsruhe Institute of Technology (KIT) is aimed at girls from grade 10 and teaches the basics of modern AI technologies. The participants work on current problems in the fields of Data Science and AI, such as developing a film recommendation system based on a dataset from Netflix. The course also includes a networking event with women working in Data Science professions. The course has been positively evaluated and will now be offered permanently to convey the relevance of mathematics and computer science to more young women. [Extracted from the article]

How can the relationship between users and algorithmic recommendation systems be conceptualised? After all, both sides have an influence on media action. From an activity-theoretical perspective, the article looks at how the subject and media can be conceptualised and concretises this with selected results of a qualitative study on young people’s interaction with algorithmic recommendation systems. [ABSTRACT FROM AUTHOR]

Copyright of Discourse: Journal of Childhood & Adolescense Research / Diskurs Kindheits- und Jugendforschung is the property of Verlag Barbara Budrich GmbH 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.)

Copyright of Discourse: Journal of Childhood & Adolescense Research / Diskurs Kindheits- und Jugendforschung is the property of Verlag Barbara Budrich GmbH 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.)

Copyright of Zeitschrift für Soziologie is the property of De Gruyter 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.)

Copyright of Datenbank-Spektrum is the property of Springer Nature 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 examines the functions of the management concept Holacracy and its consequences for implementing organizations. Data collected in five holacratic organizations are used as the empirical basis of this analysis. The theoretical foundation is constituted by Luhmann's concept of formal organization. The implementation of Holacracy in organizations is supposed to not only weaken isolation effects of division building, but to also counteract the filtering of information caused by hierarchy. This is achieved through a strong formalization of the organization. Unintended side-effects are among others the proliferation of formal structure, the insecurity due to the rapidly changing formal structure, the possibility of work withdrawal enabled through a variety of roles, a reduction of initiatives beyond the formal structure and a rigidity of the organization's framework due to holacratic principles. [ABSTRACT FROM AUTHOR]

This paper aims to give a renewed perspective on the normative stakes involved in the algorithmic recommendation of cultural content. Two prevalent framings of technological normativity and transparency need to be overcome. First, algorithmic design seems convinced that accessing the behavioral level of interaction is coincidental with a greater level of truth and authenticity, as if the subject were incapable of speaking honestly of itself. Conversely, critics of the 'black-box' normativity imagine that being able to access the code, the written structure of the algorithm, we will unveil something of its essence. By reading Foucault's notion of techniques of the self, as exposed in L'Herméneutique du sujet, together with the cybernetic theory of feed-back and Simondon's philosophy of individuation, the author claims that users do not need to see through the algorithm nor see the actual workings of the algorithm, but that they need to be able to see themselves when using the algorithm.