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The purpose of this paper is to examine two types of departmental interventions focused on creating healthier and more equitable academic departments as well as enhancing faculty members’ capacity for collective dialogue, goals and work. Both interventions were informed by the “dual-agenda” approach and focused on targeted academic units over a prolonged period.

This paper uses a variety of qualitative and quantitative data (including National Science Foundation (NSF) ADVANCE indicator data) to assess the potential of dual-agenda informed interventions in reducing gendered structures and gendered dynamics.

The authors outline essential components of a dual-agenda model for maximizing success in creating more gender equitable work organizations and discuss why the authors are more optimistic about the dual-agenda approaches than many past researchers have been in terms of the potential of the dual-agenda model for promoting more equal opportunities in work organizations.

Most previous dual-agenda projects referenced in the literature have been carried out in non-academic contexts. The projects examined here, however, were administered in the context of multiple academic departments at two medium-sized, public US universities. Although other NSF ADVANCE institutional transformation institutions have included extensive department-focused transformation efforts (e.g. Brown University, Purdue University and Syracuse University), the long-term benefits of these efforts are not yet fully understood; nor have systematic comparisons been made across institutions.

Supporting the advancement of science, technology, engineering and mathematics (STEM) in ways that help to ensure the health, prosperity, welfare and security of the nation has been central to the mission of the US National Science Foundation (NSF) since 1950, the year Congress created the agency. Preparing a highly qualified and diverse STEM workforce plays a central role in supporting this mission. The paper aims to discuss these issues.

Over the past several decades, many positive steps have been taken throughout the US education system to help ensure a more diverse STEM workforce. Even so, women remain underrepresented among STEM faculty in higher education, especially at the upper ranks. Contributing to women’s underrepresentation are systemic obstacles to the recruitment, retention and promotion of women of different racial, ethnic, disability, sexual orientations and nationality statuses.

The NSF ADVANCE Program is designed to address these barriers. Success for ADVANCE is, therefore, best defined in terms of the changes made to the structures and climates of academic workplaces, rather than in numbers of women hired, retained or promoted in any one institution at a given point in time.

This introduction briefly examines the origins of ADVANCE, key transitions in the program over time, its reach nationally and internationally, and its future.

Research in gender and development (GAD) remains largely preoccupied with women's issues and ignores the gendered nature of masculine experience. While exposing this inconsistency in gender research, the present paper highlights the gendered nature of men, and sets an agenda for their inclusion in gender research and planning.

To engage with the issue, the paper resists an unproblematic understanding of men as a singular formation, and instead builds on cultural and historical approaches which locate masculinity within modes of production.

Instead of casting men in the problem mode and theorizing masculinity as an ahistorical universal, an attempt is made to delink men from patriarchy. For development to be truly transformative, men's issues should be addressed not just as instruments for women empowerment, but also as subjects in themselves.

The paper, at a very broad level, pleads for a need to re‐vision and “men” stream development that does not ignore women, but accommodates men as gendered subjects.

In this context, power may be seen as embedded in specific modes of production, and not inherent in patriarchy. The paper argues that development agenda should go beyond categorical thinking, include men in gender planning, and create conditions for social justice.

Throughout the many decades of Bond films, 007’s patriotism is much assumed and never questioned. However, how does the English male spy display devotion to Queen and Country? James Bond is an invaluable source when questioning the attitudes towards patriotism and identity over the last 50 years. For example, is his display of manliness patriotic? More importantly, how has the exhibition of the subjective nature of patriotism adapted from an imperial to a more modern British identity? This chapter will examine how the actors who have depicted Bond have worked within the ever-changing British patriotic codes of these international movies.

This paper aims to obtain the domain of the textual content generated by users of online social network (OSN) platforms. Understanding a users’ domain (s) of interest is a significant step towards addressing their domain-based trustworthiness through an accurate understanding of their content in their OSNs.

This study uses a Twitter mining approach for domain-based classification of users and their textual content. The proposed approach incorporates machine learning modules. The approach comprises two analysis phases: the time-aware semantic analysis of users’ historical content incorporating five commonly used machine learning classifiers. This framework classifies users into two main categories: politics-related and non-politics-related categories. In the second stage, the likelihood predictions obtained in the first phase will be used to predict the domain of future users’ tweets.

Experiments have been conducted to validate the mechanism proposed in the study framework, further supported by the excellent performance of the harnessed evaluation metrics. The experiments conducted verify the applicability of the framework to an effective domain-based classification for Twitter users and their content, as evident in the outstanding results of several performance evaluation metrics.

This study is limited to an on/off domain classification for content of OSNs. Hence, we have selected a politics domain because of Twitter’s popularity as an opulent source of political deliberations. Such data abundance facilitates data aggregation and improves the results of the data analysis. Furthermore, the currently implemented machine learning approaches assume that uncertainty and incompleteness do not affect the accuracy of the Twitter classification. In fact, data uncertainty and incompleteness may exist. In the future, the authors will formulate the data uncertainty and incompleteness into fuzzy numbers which can be used to address imprecise, uncertain and vague data.

This study proposes a practical framework comprising significant implications for a variety of business-related applications, such as the voice of customer/voice of market, recommendation systems, the discovery of domain-based influencers and opinion mining through tracking and simulation. In particular, the factual grasp of the domains of interest extracted at the user level or post level enhances the customer-to-business engagement. This contributes to an accurate analysis of customer reviews and opinions to improve brand loyalty, customer service, etc.

This paper fills a gap in the existing literature by presenting a consolidated framework for Twitter mining that aims to uncover the deficiency of the current state-of-the-art approaches to topic distillation and domain discovery. The overall approach is promising in the fortification of Twitter mining towards a better understanding of users’ domains of interest.

The purpose of this paper is to explore whether descriptions of functional coping strategies among entrepreneurs vary along temporal dimensions, from reactive or present oriented, to anticipatory or future oriented. Future-oriented coping is largely unexplored in stress and coping studies in the entrepreneurship literature, despite evidence that a future time perspective is advantageous for entrepreneurs.

This study adopts an exploratory, qualitative approach: interviews were conducted with 22 entrepreneurs and coping strategies were classified, via thematic analysis, according to function, then time orientation.

Results confirmed that entrepreneurs’ coping strategies can be classified according to conventional functional taxonomies of coping that emphasize form (affective, behavioral, cognitive) and direction (change, adapt, disengage), but additionally suggested that time orientation may be an important dimension for classifying coping strategies in the entrepreneurship context.

The findings inform the assessment of coping strategies in future research on stress, coping and strain among entrepreneurs. In particular, researchers should assess temporal dimensions of coping alongside the functional dimensions which have been emphasized in past research. Assessment of meaningful dimensions of coping is necessary to identify adaptive and maladaptive coping strategies in future research. Knowledge of adaptive coping strategies among entrepreneurs can inform coping skills interventions for stress resilience.

This study makes a unique contribution to the emergent body of literature on stress and coping among entrepreneurs by utilizing both functional and temporal coping taxonomies to identify relevant dimensions of coping for study in this context.

In April we celebrate Pets Are Wonderful Month (PAW) to honor the companion animals that bring joy and love to their owners' lives. Humans have lived with animals as companions for thousands of years and during that time our knowledge about the animals we choose as pets has grown enormously. Recent research involving pet therapy indicates that not only do pets give us love and companionship, but they also are beneficial to our physical and mental health. Pets are used in nursing homes, prisons, and mental health institutions, with autistic children, and in many other capacities.

Purpose: As biomedicine grants technology and quantification privileged roles in our cultural constructions of health, media and technology play an increasingly important role in mediating our everyday experiences of our bodies and may contribute to the reproduction of gendered norms.

Design: This study draws from a broad variety of disciplines to contextualize and interpret contemporary trends in self-quantification, focusing on metrics for health and fitness. I will also draw from psychology and feminist scholarship on objectification and body-surveillance.

Findings: I interpret body-tracking tools as biomedical technologies of self-surveillance that facilitate and encourage control of human bodies, while solidifying demands for standardization around neoliberal values of enhancement and optimization. I also argue that body-tracking devices reinforce and normalize the scrutiny of human bodies in ways that may reproduce and advance longstanding gender disparities in detriment of women.

Implications: A responsible conceptualization, design, implementation, and usage of health-tracking technologies requires us to recognize and better understand how technologies with widely touted benefits also have the potential to reinforce and extend inequalities, alter subjective experiences and produce damaging outcomes, especially among certain groups. I conclude by proposing some alternatives for devising technologies or encouraging practices that are sensitive to these differences and acknowledge the validity of alternative values.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.