Judith Hartstein

Judith Hartstein

Research Area Research System and Science Dynamics
Researcher
  • +49 30 2064177-41
  • +49 30 2064177-99
Projects

List of projects

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Research cluster: Mobility and Migration-Specific Inequalities
Forschungscluster: Open Science
Publications

List of publications

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Methodenbericht zur Befragung von wissenschaftlichen und administrativen Beschäftigten an medizinischen Fakultäten im Projekt QuaMedFo (Qualitätsmaße zur Evaluierung medizinischer Forschung).

Biesenbender, S., Hartstein, J., Herrmann-Lingen, C., Kratzenberg, A., & Traylor, C. (2022).
Methodenbericht zur Befragung von wissenschaftlichen und administrativen Beschäftigten an medizinischen Fakultäten im Projekt QuaMedFo (Qualitätsmaße zur Evaluierung medizinischer Forschung). Hannover: DZHW. https://doi.org/10.21249/DZHW:qmf2021-dmr:1.0.0

Editors between support and control by the digital infrastructure — Tracing the peer review process with data from an editorial management system.

Hartstein, J., & Blümel, C. (2021).
Editors between support and control by the digital infrastructure — Tracing the peer review process with data from an editorial management system. Frontiers in Research Metrics and Analytics (6). https://www.frontiersin.org/articles/10.3389/frma.2021.747562/full (Abgerufen am: 20.10.2021) (online first).
Abstract

Many journals now rely on editorial management systems, which are supposed to support the administration and decision making of editors, while aiming at making the process of communication faster and more transparent to both reviewers and authors. Yet, little is known about how these infrastructures support, stabilize, transform or change existing editorial practices. By exploring process generated data from a publisher’s editorial management system, we investigate the ways by which the digital infrastructure is used and how it represents the different realms of the process of peer review. How does the infrastructure support, strengthen or restrain editorial agency for administrating the process?

Analysing Sentiments in Peer Review Reports: Evidence from Two Science Funding Agencies.

Luo, J., Feliciani, T., Reinhart, M., Hartstein, J., Das, V., Alabi, O., & Shankar, K. (2021).
Analysing Sentiments in Peer Review Reports: Evidence from Two Science Funding Agencies. Quantitative Science Studies. https://doi.org/10.1162/qss_a_00156

Bewertung in und durch digitale Infrastrukturen.

Krüger, A. K., Heßelmann, F., & Hartstein, J. (2021).
Bewertung in und durch digitale Infrastrukturen. In F. Meier & T. Peetz (Hrsg.), Organisation und Bewertung (S. 97-124). Wiesbaden: VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-658-31549-8_5

R package description data from CRAN up until 2020.

Hartstein, J. (2021).
R package description data from CRAN up until 2020. Berlin: Humboldt-Universität zu Berlin. http://dx.doi.org/10.18452/22951
Abstract

R (Ihaka & Gentleman (1996)) is a scientific software programming language, whose software source code can be packaged to be reused by others. The Comprehensive R Archive Network (CRAN, URL: https://cran.r-project.org/) is a controlled repository for R packages, active since 1997. All software provided on CRAN is licensed as open source. The hereby provided dataset consists of all available description data for R packages on CRAN on January 1, 2021.

Mehr Daten, mehr Wissen? – Sozialwissenschaftliche Perspektiven auf digitale Datenproduktion und -nutzung.

Krüger, A. K., Hartstein, J., & Heßelmann, F. (2019).
Mehr Daten, mehr Wissen? – Sozialwissenschaftliche Perspektiven auf digitale Datenproduktion und -nutzung. SocArxiv. https://doi.org/10.31235/osf.io/r8xtm

Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors.

Hartstein, J. (2019).
Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors. In Catalano, G., Daraio, C., Gregori, M., Moed, H. F., & Ruocco, G (Hrsg.) Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics (ISSI 2019), Vol. 2, (S. 2043-2052). Edizioni Efesto. ISBN 978-88-3381-118-5.

Der vermessene Nutzen der Forschung. Impact als neuer Faktor im britischen Evaluationssystem.

Franzen, M., Hartstein, J., & Priester, S. (2016).
Der vermessene Nutzen der Forschung. Impact als neuer Faktor im britischen Evaluationssystem. WZB-Mitteilungen, H. 152, S. 34-37.
Presentations

List of presentations & conferences

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RTFM! – Using paratexts to research algorithms embodied as software.

Hartstein, J. (2023, Mai).
RTFM! – Using paratexts to research algorithms embodied as software. Vortrag auf der Konferenz 21th Annual STS Conference Graz 2023 „Critical Issues in Science, Technology and Society Studies“, Technische Universität Graz, Graz, Österreich.

Klausurtagung des DZHW-Forschungsclusters "Open Science".

Blümel, C., Broneske, D., Daniel, A., Hartstein, J., Schniedermann, A., & Velden, T. (2023, März).
Workshop Klausurtagung des DZHW-Forschungsclusters "Open Science", DZHW, Berlin.

Projekt QuaMedFo − Qualitätsmaße zur Evaluierung medizinischer Forschung: Ergebnisse und Ausblick.

Aman, V., Biesenbender, S., Hartstein, J., Lemke, S., Lippert, K., & Traylor, C. (2022, November).
Projekt QuaMedFo − Qualitätsmaße zur Evaluierung medizinischer Forschung: Ergebnisse und Ausblick. Vortrag im Rahmen der Abschlusstagung der BMBF-Förderlinie „Quantitative Wissenschaftsforschung“, VDI|VDE|IT.

Projekt QuaMedFo − Qualitätsmaße zur Evaluierung medizinischer Forschung: Erfahrungen, Ergebnisse und Ausblick.

Biesenbender, S., Aman, V., & Hartstein, J. (2022, September).
Projekt QuaMedFo − Qualitätsmaße zur Evaluierung medizinischer Forschung: Erfahrungen, Ergebnisse und Ausblick. Vortrag im Rahmen des Kolloquiums des DZHW Berlin, DZHW, Berlin.

Methodische Notizen zu Input-Output-Analysen - Datenlage an den Fakultäten, Berechnungsbeispiele, Empfehlungen und Perspektiven.

Hartstein, J. (2022, Mai).
Methodische Notizen zu Input-Output-Analysen - Datenlage an den Fakultäten, Berechnungsbeispiele, Empfehlungen und Perspektiven. Vortrag auf dem Workshop "Was bestimmt den Impact medizinischer Forschung?" - Abschlussveranstaltung im Projekt QuaMedFo, Universitätsmedizin Göttingen (UMG), Deutsches Zentrum für Hochschul- und Wissenschaftsforschung (DZHW), Leibniz-Informationszentrum Wirtschaft (ZBW), Informationszentrum Lebenswissenschaften (ZB MED), Göttingen/online.

Not a counterculture: Scientific open source software as epistemic infrastructure.

Hartstein, J. (2022, Mai).
Not a counterculture: Scientific open source software as epistemic infrastructure. Vortrag auf der Konferenz "20th Annual STS Conference Graz 2022 – Critical Issues in Science, Technology and Society Studies", Technische Universität Graz, Graz, Österreich.

Rekonstruktion des Peer-Review-Prozesses mit Ereignisdaten aus einem Editorial Management System.

Hartstein, J., & Blümel, C. (2022, März).
Rekonstruktion des Peer-Review-Prozesses mit Ereignisdaten aus einem Editorial Management System. Vortrag auf der Tagung Frühjahrstagung 2022 der DGS-Sektion Netzwerkforschung, Bergische Universität Wuppertal, Wuppertal.

Focus on ‘successful research’ leads to underestimation of research collaboration.

Hartstein, J., & Blümel, C. (2021, Oktober).
Focus on ‘successful research’ leads to underestimation of research collaboration. Vortrag auf der Konferenz 4S Annual Meeting 2021, The Society for Social Studies of Science (4S), Toronto, Canada.
Abstract

Science and Technology Studies, but also quantitative science studies carry a legacy of research evaluation, represented by concepts as diverse as the h-Index or Altmetrics, focussing on research output. Even research on research collaboration often aims at examining networks of (“successful”) knowledge production. Collaboration holds the promise to foster innovation – which is measured in scientometrics in terms of output. We argue, that digital traces of research in progress allow for gaining a more comprehensive picture of the research process and the research collaboration landscape. Failure does not invalidate research.

Prediction as a shared accomplishment between humans and machines – the case of peer reviewer selection.

Heßelmann, F., & Hartstein, J. (2021, Oktober).
Prediction as a shared accomplishment between humans and machines – the case of peer reviewer selection. Vortrag auf der Konferenz 4S Annual Meeting 2021, The Society for Social Studies of Science (4S), Toronto, Canada.
Abstract

This contribution addresses the algorithmic turn of prediction by focusing on a case where prediction is not (fully) done algorithmically, but rather accomplished in a joined effort between human reasoning and algorithmic computation. Using qualitative (interviews) as well as quantitative (process-generated) data about the selection of peer reviewers at a biomedical publisher, it analyzes how this selection crucially hinges on the performance of a series of predictions of potential reviewers’ timeliness, the quality of their feedback and the direction of their recommendation.

Consistency and disagreement in journal peer review and the norm of disinterestedness.

Hartstein, J. (2020, September/Oktober).
Consistency and disagreement in journal peer review and the norm of disinterestedness. Vortrag auf der PEERE International Conference on Peer Review, 29.9.-1.10.2020, Valencia, Spain.

Changing the shoulders I am standing on: Describing the changes that occurred in publications’ reference lists after peer review.

Stephen, D. in collaboration with Akbaritabar, A., Hartstein, J., & Heger, C. (2020, September/Oktober).
Changing the shoulders I am standing on: Describing the changes that occurred in publications’ reference lists after peer review. Talk at the PEERE International Conference on Peer Review. 29.09.2020-01.10.2020, Valencia, Spain.

Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors.

Harstein, J. (2019, September).
Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors. Vortrag auf der EUSN 2019: 4th European Conference on Social Networks, 9.-12.9.2019, Zürich (Schweiz).

Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors.

Hartstein, J. (2019, September).
Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors. Vortrag auf der ISSI 2019: 17th International Conference on Scientometrics & Informetrics, 2.-5.9.2019, Rom (Italien).

Besser Steuern durch mehr Daten?

Hartstein, J., Krüger, A., & Heßelmann, F. (2019, Juni).
Besser Steuern durch mehr Daten? Vortrag auf der #HUkon19: Internet, KI und deren Einfluss auf die Gesellschaft, 22.-23.06.2019, Freiburg.

Measuring Performance or Performing Measurement – Digital Infrastructures in Academic Evaluation.

Krüger, A., Hartstein, J., & Heßelmann, F. (2018, Dezember).
Measuring Performance or Performing Measurement – Digital Infrastructures in Academic Evaluation. Vortrag auf der Annual Conference der Society for Research on Higher Education, 5.-7. Dezember 2018, Newport, Großbritannien.
Curriculum Vitae
since 10/2016

Researcher at German Centre for Higher Education Research and Science Studies

08/2017

Master of Arts in "Science Studies" at Humboldt-Universität zu Berlin

12/2015 - 03/2016

Internship at Berlin Social Science Center within the research unit "Science Policy"

02/2015

Bachelor of Science in "Business Mathematics" at Hochschule für Technik und Wirtschaft Berlin

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