Presentations and conferences
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Forschungsdaten-Publikationen und KDSF: Stand der Abbildung und Ausblick.Biesenbender, S. (2023, November).Forschungsdaten-Publikationen und KDSF: Stand der Abbildung und Ausblick. Vortrag im Rahmen des Online-Workshops "Monitoring von Forschungsdaten-Publikationen: Stand und Perspektive", Lehrstuhl Information Management am Institut für Bibliotheks- und Informationswissenschaft (IBI) der Humboldt-Universität zu Berlin, Helmholtz Open Science Office der Helmholtz-Gemeinschaft, Open-Access-Büro Berlin. https://doi.org/10.5281/zenodo.10245252 |
Between Absolutist Punishments and Routine Governmentality? Approaches to Scientific Misconduct at a Crossroads.Hesselmann, F. (2023, November).Between Absolutist Punishments and Routine Governmentality? Approaches to Scientific Misconduct at a Crossroads. Vortrag im Rahmen der C-Lab Lecture Series, Center for Law and Behavior, University of Amsterdam. |
The World needs Science. And Science needs Women. The German Challenge.Wegner, A. (2023, November).Teilnahme an der Podiumsdiskussion The World needs Science. And Science needs Women. The German Challenge im Rahmen der feierlichen Vergabe zum Förderprogramm FOR WOMEN IN SCIENCE von L'ORÉAL – UNESCO Deutschland , L’Oréal Deutschland und Deutsche UNESCO-Kommission, Französische Botschaft Berlin. |
Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations.Azeroual, O., & Nacheva, R. (2023, November).Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations. Vortrag auf der Konferenz 15th International Conference on Knowledge Management and Information Systems (KMIS), 13 - 15 November, 2023, Rome, Italy. https://doi.org/10.5220/0012195700003598 |
On epistemic properties & field-specific logics in the study of knowledge transfer: methodological challenges & initial results.Janßen, M. (2023, November).On epistemic properties & field-specific logics in the study of knowledge transfer: methodological challenges & initial results. Vortrag auf der Konferenz 4S 2023, The Society for Social Studies of Science (4S), Honolulu, USA. |
Using a field-comparative approach to explain field differences in sharing: Challenges for establishing causality.Velden, T., & Schwichtenberg, N. (2023, November).Using a field-comparative approach to explain field differences in sharing: Challenges for establishing causality. Vortrag auf der Konferenz 4S 2023 Honolulu: "SEA, SKY, AND LAND: ENGAGING IN SOLIDARITY IN ENDANGERED ECOLOGIES", Society for Social Studies of Science, Honolulu (online), USA. Abstract
In our research, we examine the role of sharing of epistemic resources, such as research data, code, samples, or method know-how, for knowledge production in scientific fields. Our focus is on resources that are created in the process of research and shared with researchers or research groups outside of the original context of creation of the resource. Based on a field-comparative ethnographic study of research specialties in the sciences that differ in their epistemic practices, we examine the causal link between epistemic conditions of research on the one hand, and reoccurring patterns of sharing on the other. In our contribution we discuss challenges encountered when deriving causal explanations of field differences in sharing. |
Field-comparative investigations of scientific trust.Schwichtenberg, N. (2023, November).Field-comparative investigations of scientific trust. Vortrag auf der Konferenz 4S 2023 Honolulu: "SEA, SKY, AND LAND: ENGAGING IN SOLIDARITY IN ENDANGERED ECOLOGIES", Society for Social Studies of Science, Honolulu, USA. |
Clustering for science classification: semantic document vectors and the role of discipline-specific classifications.Donner, P. (2023, November).Clustering for science classification: semantic document vectors and the role of discipline-specific classifications. Vortrag auf dem Workshop Netzwerktreffen Kompetenznetzwerk Bibliometrie. Abstract
In this talk, the interaction of algorithmic classification, semantic document vector representations, and discipline specific classification systems of science will be discussed, primarily conceptually, but including some preliminary empirical results of recent research. For science studies, a fine-grained, article-level, comprehensive classification (or taxonomic) system is highly desirable. Existing systems do not suffice because they are either on a journal level (WoS SCs, Scopus ASJC, Science Metrix Journal Classification) or discipline-specific (e.g. MeSH, MSC, PACS, JEL Classification, ...). Algorithmic, data-based solutions have been introduced that can provide such solutions, namely document clustering algorithms. [...] |
Survey- and Register-Based Estimates of the Careers of Recent Doctoral Graduates.Fenton, A. (2023, November).Survey- and Register-Based Estimates of the Careers of Recent Doctoral Graduates. Vortrag auf der Konferenz RISIS International Conference 2023, AIT Austrian Institute of Technology, Center for Innovation Systems & Policy, Vienna, Austria. |
Feldklassifikationen und ihre Grenzen aus dem Kontext der Anwendung in der (surveybasierten) feldvergleichenden soziologischen Wissenschaftsforschung.Velden, T. (2023, November).Feldklassifikationen und ihre Grenzen aus dem Kontext der Anwendung in der (surveybasierten) feldvergleichenden soziologischen Wissenschaftsforschung. Vortrag im Rahmen des Netzwerktreffens Kompetenznetzwerk Bibliometrie, Kompetenznetzwerk Bibliometrie. |
Mind the gap: Nowcasting the citation impact of research institutions.Stahlschmidt, S., & Stephen, D. (2023, November).Mind the gap: Nowcasting the citation impact of research institutions. Vortrag auf dem Kolloquium Departamento de Información y Comunicación, Universidad de Granada, Granada, Spanien. |
Towards a validated bibliometric measure of topic mobility in science. A knowledge space approach.Donner, P. (2023, November).Towards a validated bibliometric measure of topic mobility in science. A knowledge space approach. Vortrag auf dem Kolloquium zu Themen der Hochschulforschung, INCHER, Universität Kassel, Kassel. |
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