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DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024.

Petersohn, S. (29. Januar 2024).
DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024 [Blogbeitrag]. https://doi.org/10.57689/DINI-BLOG.20240129

DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024.

Petersohn, S., Biesenbender, S., Mau, F., Küsters, U., Hauschke, C., & Beucke, D. (29. Januar 2024).
DINI AG FIS – Jahresrückblick 2023 & Ausblick auf 2024 [Blogbeitrag]. https://doi.org/10.57689/DINI-BLOG.20240129

Examining final comment questions with requests for written and oral answers.

Höhne, J. K., & Claaßen, J. (2024).
Examining final comment questions with requests for written and oral answers. International Journal of Market Research (online first). https://doi.org/10.1177/14707853241229329

Academic careers inside and outside academia—an overview of topics and contributions.

Jaksztat, S., & Gross, C. (2024).
Academic careers inside and outside academia—an overview of topics and contributions. In C. Gross & S. Jaksztat (Hrsg.), Career Paths Inside and Outside Academia (S. 9-19). Baden-Baden: Nomos.

More or less the same? An exploration of the evolution of the PhD wage premium in a decade of higher education expansion.

Euler, T., & Trennt, F. (2024).
More or less the same? An exploration of the evolution of the PhD wage premium in a decade of higher education expansion. Soziale Welt - Special Edition 26, 55-88. https://doi.org/10.5771/9783748925590-55

Challenging the intuition: Is a same-gender supervisor beneficial for doctoral students?

Mühleck, K., & Schwabe, U. (2024).
Challenging the intuition: Is a same-gender supervisor beneficial for doctoral students? Soziale Welt, 26, 280-340. https://doi.org/10.5771/9783748925590-280
Abstract

It continues to be a puzzle that women are disproportionally often dropping out of academic careers. Researchers and policymakers have suggested that same-gender supervisors are important for tightening this ‘leaky pipeline’. Especially in subjects with a strong overrepresentation of men, it seems likely that female supervisors work as positive role models and help preventing discrimination. Anticipating this effect, female doctoral students might also prefer supervisors of the same gender. Therefore, we ask how widespread a gender match is between doctoral student and supervisor in Germany and whether a gender match between supervisors and doctoral students is beneficial for the doctorate and for a possible scientific career thereafter.

Forty and over the academic hill? Biological and academic age and the race for tenure.

Ordemann, J., & Naegele, L. (2024).
Forty and over the academic hill? Biological and academic age and the race for tenure. Soziale Welt , Special Edition(26), 457-489. https://doi.org/10.5771/9783748925590-457
Abstract

This paper investigates the relationship between age and attaining a tenured position in academia. Following considerations about ageism towards doctoral graduates who were 40 years and older upon attaining a PhD and Robert K. Merton’s idea of cumulative advantages in academic careers, we differentiate between biological and academic age. We test the relationships and the resources accumulated behind the latter using data from the DZHW PhD Panel 2014. Applying piecewise constant exponential estimations and an entropy balancing, we find that PhDs aged 40+ experience a significantly positive effect on attaining a professorship at a university of applied science or receiving tenure as a postdoctoral researcher.

Clustering graph data: the roadmap to spectral techniques.

Mondal, R., Ignatova, E., Walke, D., Broneske, D., Saake, G., & Heyer, R. (2024).
Clustering graph data: the roadmap to spectral techniques. Discover Artificial Intelligence, 4(7), 1-22. https://doi.org/10.1007/s44163-024-00102-x
Abstract

Graph data models enable efficient storage, visualization, and analysis of highly interlinked data, by providing the benefits of horizontal scalability and high query performance. Clustering techniques, such as K-means, hierarchical clustering, are highly beneficial tools in data mining and machine learning to find meaningful similarities and differences between data points. Recent developments in graph data models, as well as clustering algorithms for graph data, have shown promising results in image segmentation, gene data analysis, etc. This has been primarily achieved through research and development of algorithms in the field of spectral theory, [...] Full abstract: https://doi.org/10.1007/s44163-024-00102-x

The role of institutional contexts for social inequalities in study abroad intent and participation.

Entrich, S., Netz, N., & Matsuoka, R. (2024).
The role of institutional contexts for social inequalities in study abroad intent and participation. Higher Education (online first).
Abstract

We contribute to research on social inequalities in educational attainment by examining the role of institutional contexts for students’ study abroad (SA) intent and participation. To do so, we extend the individual-level rational choice model predicting SA intent and participation depending on students’ socioeconomic status (SES) into a multi-level model emphasizing the importance of context effects. We test our model based on unique micro-level student data, which we supplement with context data. Examining 18,510 students nested in 69 universities, we provide the first in-depth multi-level analyses of SA intent and participation of students from Japan.

Authorship regulations in performance-based funding systems and publication behaviour – A case study of German medical faculties.

Aman, V., & van den Besselaar, P. (2024).
Authorship regulations in performance-based funding systems and publication behaviour – A case study of German medical faculties. Journal of Informetrics, 18(2) (online first). https://doi.org/10.1016/j.joi.2024.101500

Ingenieurstudium 4.0. Werden künftige Ingenieurinnen und Ingenieure an deutschen Hochschulen adäquat auf die digitalisierte Arbeitswelt vorbereitet?

Gottburgsen, A., Willige, J., & Hofmann, Y. E. (2023).
Ingenieurstudium 4.0. Werden künftige Ingenieurinnen und Ingenieure an deutschen Hochschulen adäquat auf die digitalisierte Arbeitswelt vorbereitet? die hochschullehre9/2023. wbv.de/die-hochschullehre, https://doi.org./10.3278/HSL2309W (Abgerufen am: 15.04.2024).

How do signals of academic performance vary across disciplines? Evidence from a survey experiment with university professors in Germany.

Petzold, K., & Netz, N. (2023).
How do signals of academic performance vary across disciplines? Evidence from a survey experiment with university professors in Germany. Soziale Welt, 26, 490-523. https://doi.org/10.5771/9783748925590-490
Abstract

While recent research has investigated what signals of academic performance govern academics’ access to professorships, whether the power of such signals varies across disciplines has to date hardly been examined. We argue that the signaling power of academic achievements depends on the discipline-specific degree of standardization of research and on the spatio-temporal universality of research objects. Using a factorial survey experiment with Germany-based university professors of German studies, selected social sciences, and chemistry, we investigate the suitability of fictitious candidates for a tenured professorship (N respondents = 874, N vignettes = 6354).

Laughing out loud – Exploring AI-generated and human-generated humor.

Safikhani, P., Avetisyan, H., & Broneske, D. (2023).
Laughing out loud – Exploring AI-generated and human-generated humor. Computer Science & Information Technology (CS & IT), 2023, 59-76.

Mustervertrag Datennutzung KonsortSWD (Version 3.0.0).

Schallaböck, J., Hoffstätter, U., Buck, D., & Linne, M. (2023).
Mustervertrag Datennutzung KonsortSWD (Version 3.0.0). Hannover: DZHW. https://doi.org/10.5281/zenodo.10409864

Mustervertrag Datenaufnahme KonsortSWD (Version 2.0.0).

Schallaböck, J., Kreutzer, T., Hoffstätter, U., & Buck, D. (2023).
Mustervertrag Datenaufnahme KonsortSWD (Version 2.0.0). Hannover: DZHW. https://doi.org/10.5281/zenodo.10406480

Contact

Anja Gottburgsen
Dr. Anja Gottburgsen +49 511 450670-912