Young people,social workers and social work education: the role of digital skills

ABSTRACT

This paper addresses a key issue in the development of youth-focused social work: the role of digital skills in the relationship between young people and social workers who work with these native digital users. To this end, we analysed data from the International Digital Economy and Society Index 2019 and Eurostat. Information from the sixth European Working Conditions Survey and a survey conducted by the Social Care Institute for Excellence and the British Association of Social Workers supported the empirical analysis. The main findings reveal a gap between the level of digital skills required in the labour market and the actual level of digital skills in both young people and social workers, despite efforts by both groups to improve their skills. Initiatives to foster digital skills are therefore recommended to bridge this digital divide. Lastly, it was concluded that both groups could act as mutual drivers of digital transformation.     

Size does matter: Passive sampling in urban parks of a regional bat assemblage

Urban Ecosystems - We studied the occurrence of bats in urban parks in the city of Madrid (Spain), and the resulting patterns were compared with bat occurrence in the surrounding region. In this...     

Model-based clustering with determinant-and-shape constraint

Statistics and Computing - Model-based approaches to cluster analysis and mixture modeling often involve maximizing classification and mixture likelihoods. Without appropriate constrains on the...     

Feelings of Belonging: An Exploratory Analysis of the Sociopolitical Involvement of Black,Latina, and Asian/Pacific Islander Sexual Minority Women

This article compares and contrasts the sociopolitical involvement of Black, Latina, and Asian/Pacific Islander American sexual minority women within lesbian, gay, bisexual, and transgender (LGBT) communities of color. For the analysis, a sample of over 1,200 women from the Social Justice Sexuality project was analyzed. Findings indicate that, for all groups of women, feelings of connectedness to the LGBT community was the most significant predictor of sociopolitical involvement within LGBT communities of color.     

Application of the Hyper‐Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes

The hyper‐Poisson distribution can handle both over‐ and underdispersion, and its generalized linear model formulation allows the dispersion of the distribution to be observation‐specific and dependent on model covariates. This study's objective is to examine the potential applicability of a newly proposed generalized linear model framework for the hyper‐Poisson distribution in analyzing motor vehicle crash count data. The hyper‐Poisson generalized linear model was first fitted to intersection crash data from Toronto, characterized by overdispersion, and then to crash data from railway‐highway crossings in Korea, characterized by underdispersion. The results of this study are promising. When fitted to the Toronto data set, the goodness‐of‐fit measures indicated that the hyper‐Poisson model with a variable dispersion parameter provided a statistical fit as good as the traditional negative binomial model. The hyper‐Poisson model was also successful in handling the underdispersed data from Korea; the model performed as well as the gamma probability model and the Conway‐Maxwell‐Poisson model previously developed for the same data set. The advantages of the hyper‐Poisson model studied in this article are noteworthy. Unlike the negative binomial model, which has difficulties in handling underdispersed data, the hyper‐Poisson model can handle both over‐ and underdispersed crash data. Although not a major issue for the Conway‐Maxwell‐Poisson model, the effect of each variable on the expected mean of crashes is easily interpretable in the case of this new model.     

A new value stream mapping approach for healthcare environments

Hospitals worldwide are giving a growing emphasis to the application of lean concepts in the healthcare sector, commonly known as ‘lean healthcare’. A fundamental tool that allows such implementations is the value stream mapping (VSM). The problem is that VSM models used in implementations of lean healthcare are simple adaptations of the original VSM model, which was initially directed towards manufacturing and may not always represent important support activities for the patient flow that directly impact treatment time. Within this context, this paper presents a new VSM approach for healthcare environments. This new VSM model, specifically designed for healthcare environments, contemplates all activities that directly affect the treatment time. In addition, the present paper also presents an action research in a Brazilian hospital where the proposed VSM model is compared to other VSM models found in the literature. The results shown that the proposed VSM model was able to identify some operational bottlenecks and wastes that interfere in the patient’s treatment that could not be identified by other mapping models studied.     

A Manager is a Manager is a Manager? Race and Managerial Impact on Organizational Performance

Contemporary scientific analyses of public organizations underscore the salience of management for understanding how governmental bureaucracies perform. Yet little is known of administrators from minority social groups, and whether their organizations perform better or worse than other bureaucracies. Emphasizing the impact of network engagement on organizational performance, this exploratory study addresses this important research deficiency. A critical component of the analysis presented is the differential impact of administrative engagement with internal and external networks on minority and status quo clientele outcomes. The findings have important implications for studies of managerial networking, equity, and representation in public organizations.