Intersectionality Research Within Latinx Mental Health: Conceptual and Methodological Considerations

Intersectionality considers the meaning and consequences associated with multiple identities along interlocking systems of disadvantage and inequality (Cole, 2009; Crenshaw, 1991). In recent years, there has been increasing attention on examining the mental health outcomes associated with membership in multiple marginalized groups. Unfortunately, intersectionality research examining the unique experiences of Latinx groups remains scarce. The current article reviews theoretical and methodological considerations regarding intersectionality research within Latinx mental health. From a theoretical perspective, intersectionality brings a series of questions regarding the epistemological approaches to studying psychological phenomena. This, in turn, influ- ences the methodological strategies used to examine these processes. The discussion advances the ongoing discourse regarding the benefits and limitations of integrating intersectionality within research that provides further insight into our Latinx communities

The Curvilinear Relationship between Age and Emotional Aperture : The Moderating Role of Agreeableness

The capability to correctly recognize collective emotion expressions (i.e., emotional aperture) is crucial for effective social and work-related interactions. Yet, little remains known about the antecedents of this ability. The present study therefore aims to shed new light onto key aspects that may promote or diminish an individual’s emotional aperture. We examine the role of age for this ability in an online sample of 181 participants (with an age range of 18 to 72 years, located in Germany), and we investigate agreeableness as a key contingency factor. Among individuals with lower agreeableness, on the one hand, our results indicate a curvilinear relationship between age and emotional aperture, such that emotional aperture remains at a relatively high level until these individuals’ middle adulthood (with a slight increase until their late 30s) and declines afterwards. Individuals with higher agreeableness, on the other hand, exhibit relatively high emotional aperture irrespective of their age. Together, these findings offer new insights for the emerging literature on emotional aperture, illustrating that specific demographic and personality characteristics may jointly shape such collective emotion recognition

The use of multilayer network analysis in animal behaviour

Network analysis has driven key developments in research on animal behaviour by providing quantitative methods to study the social structures of animal groups and populations. A recent formalism, known as \emph{multilayer network analysis}, has advanced the study of multifaceted networked systems in many disciplines. It offers novel ways to study and quantify animal behaviour as connected 'layers' of interactions. In this article, we review common questions in animal behaviour that can be studied using a multilayer approach, and we link these questions to specific analyses. We outline the types of behavioural data and questions that may be suitable to study using multilayer network analysis. We detail several multilayer methods, which can provide new insights into questions about animal sociality at individual, group, population, and evolutionary levels of organisation. We give examples for how to implement multilayer methods to demonstrate how taking a multilayer approach can alter inferences about social structure and the positions of individuals within such a structure. Finally, we discuss caveats to undertaking multilayer network analysis in the study of animal social networks, and we call attention to methodological challenges for the application of these approaches. Our aim is to instigate the study of new questions about animal sociality using the new toolbox of multilayer network analysis.Comment: Thoroughly revised; title changed slightl

From single steps to mass migration: the problem of scale in the movement ecology of the Serengeti wildebeest

A central question in ecology is how to link processes that occur over different scales. The daily interactions of individual organisms ultimately determine community dynamics, population fluctuations and the functioning of entire ecosystems. Observations of these multiscale ecological processes are constrained by various technological, biological or logistical issues, and there are often vast discrepancies between the scale at which observation is possible and the scale of the question of interest. Animal movement is characterized by processes that act over multiple spatial and temporal scales. Second-by-second decisions accumulate to produce annual movement patterns. Individuals influence, and are influenced by, collective movement decisions, which then govern the spatial distribution of populations and the connectivity of meta-populations. While the field of movement ecology is experiencing unprecedented growth in the availability of movement data, there remain challenges in integrating observations with questions of ecological interest. In this article, we present the major challenges of addressing these issues within the context of the Serengeti wildebeest migration, a keystone ecological phenomena that crosses multiple scales of space, time and biological complexity. This article is part of the theme issue ’Collective movement ecology’

Social networks : the future for health care delivery

With the rapid growth of online social networking for health, health care systems are experiencing an inescapable increase in complexity. This is not necessarily a drawback; self-organising, adaptive networks could become central to future health care delivery. This paper considers whether social networks composed of patients and their social circles can compete with, or complement, professional networks in assembling health-related information of value for improving health and health care. Using the framework of analysis of a two-sided network – patients and providers – with multiple platforms for interaction, we argue that the structure and dynamics of such a network has implications for future health care. Patients are using social networking to access and contribute health information. Among those living with chronic illness and disability and engaging with social networks, there is considerable expertise in assessing, combining and exploiting information. Social networking is providing a new landscape for patients to assemble health information, relatively free from the constraints of traditional health care. However, health information from social networks currently complements traditional sources rather than substituting for them. Networking among health care provider organisations is enabling greater exploitation of health information for health care planning. The platforms of interaction are also changing. Patient-doctor encounters are now more permeable to influence from social networks and professional networks. Diffuse and temporary platforms of interaction enable discourse between patients and professionals, and include platforms controlled by patients. We argue that social networking has the potential to change patterns of health inequalities and access to health care, alter the stability of health care provision and lead to a reformulation of the role of health professionals. Further research is needed to understand how network structure combined with its dynamics will affect the flow of information and potentially the allocation of health care resources

Improving democratic governance through institutional design: civic participation and democratic ownership in Europe

In this article we provide a conceptual and argumentative framework for studying how institutional design can enhance civic participation and ultimately increase citizens’ sense of democratic ownership of governmental processes. First, we set out the socio-political context for enhancing the democratic governance of regulatory policies in Europe, and highlight the way in which civic participation and democratic ownership is given equal weight to economic competitiveness. We then discuss the potential for institutionalised participatory governance to develop and their prospects for improving effective and democratic governance in the multi-layered European polity. The article concludes by outlining a research agenda for the field and identifying the priorities for scholars working in interaction with civil society and governments

ORGANIZATIONAL EFFECTIVENESS: SOCIAL CAPITAL AND COMPETITIVE ADVANTAGE APPROACH

This study is aimed at developing the model of organizational effectiveness in university through social capital and competitive advantage. The populations of this study are the head of study programs and the structural officials in some Universities in Semarang. In this case, We used Structural Equation Modeling (SEM) in AMOS 21.0 program as the analysis tool. The result of the study and model analysis showed that even though the social capital had significant positive influenced to the competitive advantage in the university, the improvement of social capital and competitive advantage at university could not improve the university organizational effectiveness. Then, between two factors which influenced the competitive advantage (internal social capital and external social capital), it is obtained that external social capital got the dominant influenced factor to competitive advantage. The managerial implication suggested the policies should focus on improving the quality of cooperative relationships with external parties in the university

Revealing networks from dynamics: an introduction

What can we learn from the collective dynamics of a complex network about its interaction topology? Taking the perspective from nonlinear dynamics, we briefly review recent progress on how to infer structural connectivity (direct interactions) from accessing the dynamics of the units. Potential applications range from interaction networks in physics, to chemical and metabolic reactions, protein and gene regulatory networks as well as neural circuits in biology and electric power grids or wireless sensor networks in engineering. Moreover, we briefly mention some standard ways of inferring effective or functional connectivity.Comment: Topical review, 48 pages, 7 figure