Transparent communication of robustness is essential in empirical research, yet existing tools can be difficult to interpret. This paper introduces the robustness dashboard, a graphical tool that visualizes the results of robustness reproductions into a single, intuitive graph. The robustness...

Transparent communication of robustness is essential in empirical research, yet existing tools can be difficult to interpret. This paper introduces the robustness dashboard, a graphical tool that visualizes the results of robustness reproductions into a single, intuitive graph. The robustness...

This paper examines the phenomenon of residential segregation in Berlin over time using a dynamic clustering analysis approach. Previous research has examined the phenomenon of residential segregation in Berlin at a high spatial and temporal aggregation and statically, i.e. not over time. We...

In this visualization, the authors show changes in family patterns by different race groups across two cohorts. Using data from the National Longitudinal Survey of Youth 1979 (born from 1957 to 1965) and 1997 (born from 1980 to 1984), the authors visualize the relationship-parenthood state...

Purpose Large-scale text-based data increasingly poses methodological challenges due to its size, scope and nature, requiring sophisticated methods for managing, visualizing, analyzing and interpreting such data. This paper aims to propose semantic network analysis (SemNA) as one possible...

Dieser Artikel zeigt die positiven Wirkeffekte des gezielten Einsatzes von Data Analytics im Umfeld von Energiedaten auf, um ein nutzerzentriertes Energy Information System (EIS) für Privatkunden zu designen. Auf Basis der Methode des Design Science Research wurden aus realen Nutzerproblemen...

Our experiments evaluate the role of information presentation in reducing violations of the Law of One Price in individual investor selection of index mutual funds. The results indicate that most individuals fail to minimize fees. However, individuals allocate nearly 27% (43%) more of their...

In this paper, we developed a Shiny-based application called AutoReserve. This application serves as a tool used for a variety of types of loss reserving. The primary target audience of the app is personal auto actuaries, who are professionals in the insurance industry specializing in assessing...