Artikel

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

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.

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).

This scoping review aims to trace the evidence in the international scientific literature on the intersections between COVID-driven digitalisation and the internationalisation strategies of higher education institutions (HEIs). The focus lies on teaching and learning, cooperation, support structures, and leadership processes. We reviewed 45 studies from an initial selection of 648 sources retrieved from Scopus and Web of Science. Results showed that digitally supported internationalisation strategies are often associated with more cost-effective, inclusive and sustainable models. Despite ongoing calls for comprehensive approaches, the systematic adoption of virtual internationalisation strategies remains largely a normative subject.

This article deals with expectation dynamics in the field of synthetic biology. The article draws on scholarly review articles as the main material, complemented by expert interviews conducted with scholars from the field. The aim is to explore how expectations change over time and how they are used to justify and move the field. Drawing from conceptual advances of the sociology of expectations, I show how expectations are increasingly linked at different levels (the landscape, sector, and niche level) and how they support and justify the field among different audiences.