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Technology-facilitated violence and abuse including image-based sexual abuse (IBSA) is a phenomenon affecting women and girls around the world. Abusers misuse technology to attack victims and threaten their safety, privacy, and dignity. This abuse is gendered and a form of domestic and sexual violence. In this article, the authors compare criminal law approaches to tackling IBSA in Scotland and Malawi. We critically analyze the legislative landscape in both countries, with a view to assessing the potential for victims to seek and obtain redress for IBSA. We assess the role criminal law has to play in each jurisdiction while acknowledging the limits of criminal law alone in terms of providing redress.

Since its introduction by Chari, Kehoe, and McGrattan (2007), Business Cycle Accounting (BCA) exercises have become widespread. Much attention has been devoted to the results of such exercises and to methodological departures from the baseline methodology. Little attention has been paid to identification issues within these classes of models. In this chapter, the authors investigate whether such issues are of concern in the original methodology and in an extension proposed by Šustek (2011) called Monetary Business Cycle Accounting. The authors resort to two types of identification tests in population. One concerns strict identification as theorized by Komunjer and Ng (2011) while the other deals both with strict and weak identification as in Iskrev (2010). Most importantly, the authors explore the extent to which these weak identification problems affect the main economic takeaways and find that the identification deficiencies are not relevant for the standard BCA model. Finally, the authors compute some statistics of interest to practitioners of the BCA methodology.

Purpose: Previous research identified a measurement gap in the individual assessment of social misconduct in the workplace related to gender. This gap implies that women respond to comparable self-reported acts of bullying or sexual discrimination slightly more often than men with the self-labeling as “bullied” or “sexually discriminated and/or harassed.” This study tests this hypothesis for women and men in the scientific workplace and explores patterns of gender-related differences in self-reporting behavior.

Basic design: The hypotheses on the connection between gender and the threshold for self-labeling as having been bullied or sexually discriminated against were tested based on a sample from a large German research organization. The sample includes 5,831 responses on bullying and 6,987 on sexual discrimination (coverage of 24.5 resp. 29.4 percentage of all employees). Due to a large number of cases and the associated high statistical power, this sample for the first time allows a detailed analysis of the “gender-related measurement gap.” The research questions formulated in this study were addressed using two hierarchical regression models to predict the mean values of persons who self-labeled as having been bullied or sexually discriminated against. The status of the respondents as scientific or non-scientific employees was included as a control variable.

Results: According to a self-labeling approach, women reported both bullying and sexual discrimination more frequently. This difference between women and men disappeared for sexual discrimination when, in addition to the gender of a person, self-reported behavioral items were considered in the prediction of self-labeling. For bullying, the difference between the two genders remained even in this extended prediction. No statistically significant relationship was found between the frequency of self-reported items and the effect size of their interaction with gender for either bullying or sexual discrimination. When comparing bullying and sexual discrimination, it should be emphasized that, on average, women report experiencing a larger number of different behavioral items than men.

Interpretation and relevance: The results of the study support the current state of research. However, they also show how volatile the measurement instruments for bullying and sexual discrimination are. For example, the gender-related measurement gap is considerably influenced by single items in the Negative Acts Questionnaire and Sexual Experience Questionnaire. The results suggest that women are generally more likely than men to report having experienced bullying and sexual discrimination. While an unexplained “gender gap” in the understanding of bullying was found for bullying, this was not the case for sexual discrimination.

This chapter delves into the evolving identity of professionals within the field of research management and administration (RMA), examining the shifts in their roles and expectations in the changing landscape in higher education. After the introductory section, Section 2 offers a conceptual framework that emphasises identity as a dynamic process rather than a static concept. This framework sheds light on the changing roles and expectations that define the RMA profession. In Section 3, we explore the contextual backdrop of shifting expectations surrounding RMA roles while stressing the importance of recognizing the multiplicity of identities to comprehend the nuances of the RMA profession. Section 4 analyzes empirical data and explore the diverse pathways that lead individuals into the RMA profession. We uncover that a notable proportion of RMAs possess scientific training and research experience and highlight the complexities surrounding the identity of RMAs with doctoral training (DRMAs). Lastly, Section 5 discusses key observations that yield valuable insights for future research on the evolving professional identity of RMAs. We emphasise that, through self-exploration and introspection, practitioners in the field can contribute to a deeper understanding of their roles and actively shape their professional identity.