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The Effect of Germany´s Federalism on Student Success.

Hönnige, C., Bauer, V. A., Bernauer, J., Zittlau, S., Epping, V., ... & Nguyen Xuan, A. (2024).
The Effect of Germany´s Federalism on Student Success. The "Index of Commitment" as Comparative Measure for Study and Examination Regulations. LCSS Working Paper (16). Hannover: Leibniz Universität Hannover. https://doi.org/10.15488/16457

Who are the “Heroes of CRISPR”? Public science communication on Wikipedia and the challenge of micro-notability.

Simon, A., Kircheis, W., Schmidt, M., Potthast, M., & Stein, B. (2024).
Who are the “Heroes of CRISPR”? Public science communication on Wikipedia and the challenge of micro-notability. Public Understanding of Science (online first).

Kein Gott, kein Staat, kein Klassikerdiktat! Plädoyer für eine andere Soziologiegeschichte.

Hesselmann, F. (2024).
Kein Gott, kein Staat, kein Klassikerdiktat! Plädoyer für eine andere Soziologiegeschichte. Soziopolis.

Private higher education: a comparative study of Germany and the United Arab Emirates.

Kleimann, B., & Ashour, S. (2024).
Private higher education: a comparative study of Germany and the United Arab Emirates. Research Papers in Education, 39(1), 1-17. https://doi.org/10.1080/02671522.2024.2318033

An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls.

Abbas, M. N., Attea, B. A., Broneske, D., & Saake, G. (2024).
An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3367746
Abstract

Computational biology research faces a formidable challenge in the detection of complexes within protein-protein interaction (PPI) networks, critical for unraveling cellular processes, predicting functions of uncharacterized proteins, and diagnosing diseases. While evolutionary algorithms (EAs), particularly state-of-the-art methods, often partition PPI networks based on graph properties or biological semantics, their resilience to noisy or missing interactions remains an underexplored territory. In this paper, we propose a groundbreaking heuristic operator, termed "strong neighbor-node migration", specifically designed to elevate solution quality [...] Full Abstract: https://ieeexplore.ieee.org/document/10440281

Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models.

Avetisyan, H., Safikhani, P., & Broneske, D. (2024).
Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. In Arai, K. (Hrsg.), Intelligent Systems and Applications (S. 81-90). Cham: Springer. https://doi.org/10.1007/978-3-031-47718-8

Adult Refugees and Asylum Seekers in University Preparation Programs: Competing Identities and Multiple Transitions Manifested in Stigma Consciousness and Student Self-Identification.

Grüttner, M., Schröder, S., & Berg, J. (2024).
Adult Refugees and Asylum Seekers in University Preparation Programs: Competing Identities and Multiple Transitions Manifested in Stigma Consciousness and Student Self-Identification. Adult Education Quarterly (online first). https://doi.org/10.1177/07417136241231566

Berufungsverfahren „sauber und smooth“.

Walther, L. (2024).
Berufungsverfahren „sauber und smooth“. Hochschulmanagement, 18(4), 123-131.

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

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.

Contact

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