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\"This book features 20 in-depth, candid interviews. Interviewees include CEOs, founders, pioneers, and inventors from a wide spectrum of tech organizations ranging from software to hardware across sectors as varied as accounting, genomics, mobile technology, e-commerce, business intelligence, online education, and video games. Danielle Newnham, a mobile startup and e-commerce entrepreneur and online community organizer, presents the insights, instructive anecdotes, strategies, and advice shared by women, including the obstacles they encountered and how they overcame them.\" -- From publisher

[...]fewer than 5% of these images are of dark-skinned individuals, and the algorithm wasn't tested on darkskinned people. [...]the performance of the classifier could vary substantially across different populations. [...]technical care and social awareness must be brought to the building of data sets for training. [...]computer scientists should strive to develop algorithms that are more robust to human biases in the data. Once the auditor reveals stereotypes in the word embedding and in the original text data, it is possible to reduce bias by modifying the locations of the word vectors. [...]by assessing how stereotypes have evolved, algorithms that are trained on historical texts can be debiased.

Women comprise a minority of the Science, Technology, Engineering, Mathematics, and Medicine (STEMM) workforce. Quantifying the gender gap may identify fields that will not reach parity without intervention, reveal underappreciated biases, and inform benchmarks for gender balance among conference speakers, editors, and hiring committees. Using the PubMed and arXiv databases, we estimated the gender of 36 million authors from >100 countries publishing in >6000 journals, covering most STEMM disciplines over the last 15 years, and made a web app allowing easy access to the data (https://lukeholman.github.io/genderGap/). Despite recent progress, the gender gap appears likely to persist for generations, particularly in surgery, computer science, physics, and maths. The gap is especially large in authorship positions associated with seniority, and prestigious journals have fewer women authors. Additionally, we estimate that men are invited by journals to submit papers at approximately double the rate of women. Wealthy countries, notably Japan, Germany, and Switzerland, had fewer women authors than poorer ones. We conclude that the STEMM gender gap will not close without further reforms in education, mentoring, and academic publishing.

Women have historically encountered numerous barriers and biases that hinder their complete participation and acknowledgement in scientific research. In this study, we scrutinise the gender makeup of scientific teams publishing in top business journals based on a cross-sectional sample of 46,708 publications. Scientific impact is based on the citations, and novelty by using the NLP co-occurrence matrix to compute the cosine similarity between pairs of knowledge entities. Our findings reveal an inverse U-shaped relationship between the proportion of women scientists and scientific impact and a positive U-shaped association with novelty, significantly moderated by team size. These outcomes persist even after many controls and potentially relevant characteristics are taken into account. By delving into the divergent effects of female participation within teams, we not only reveal the nonlinear relationship between team gender composition and scientific discovery but also provide relevant advice for cross-gender collaborative researchers. Our evidence underscores the importance of a more detailed scholarly discussion of the role of women scientists in team performance, at least in business science research.

PurposeThis pan-Canadian study examines the information practices of STEM-trained immigrant women to Canada as they navigate workfinding and workplace integration. Our study focuses on a population of highly skilled immigrant women from across Canada and uses an information practice lens to examine their lived experiences of migration and labour market integration. As highly trained STEM professionals in pursuit of employment, our participants have specific needs and challenges, and as we explore these, we consider the intersection of their information practices with government policies, settlement services and the hiring practices of STEM employers.Design/methodology/approachWe conducted a qualitative study using in-depth interviews with 74 immigrant women across 13 Canadian provinces and territories to understand the nature of their engagement with employment-seeking in STEM sectors. This article reports the findings related to the settlement and information experiences of the immigrant women as they navigate new information landscapes.FindingsAs immigrants, as women and as STEM professionals, the experiences of the 74 participants reflect both marginality and privilege. The reality of their intersectional identities is that these women may not be well-served by broader settlement resources targeting newcomers, but neither are the specific conventions of networking and job-seeking in the STEM sectors in Canada fully apparent or accessible to them. The findings also point to the broader systemic and contextual factors that participants have to navigate and that shape in a major way their workfinding journeys.Originality/valueThe findings of this pan-Canadian study have theoretical and practical implications for policy and research. Through interviews with these STEM professionals, we highlight the barriers and challenges of an under-studied category of migrants (the highly skilled and “desirable” type of immigrants). We provide a critical discussion of their settlement experiences and expose the idiosyncrasies of a system that claims to value skilled talent while structurally making it very difficult to deliver on its promises to recruit and retain highly qualified personnel. Our findings point to specific aspects of these skilled professionals’ experiences, as well as the broader systemic and contextual factors that shape their workfinding journey.

This study explores the motivational factors and barriers to participate in a citizen science program for malaria control in Rwanda. It assesses the changes in motivational factors over time and compares these factors among age and gender groups. Using a qualitative approach, this study involved 44 participants. At the initial stage, people participated in the program because of curiosity, desire to learn new things, helping others, and willingness to contribute to malaria control. As the engagement continued, other factors including ease of use of materials to report observations, the usefulness of the program, and recognition also played a crucial role in the retention of volunteers. Lack of time and information about the recruitment process, perceived low efficacy of the mosquito trap, and difficulties in collecting observations were reported as barriers to get and stay involved. Some variations in the motivational factors were observed among age and gender groups. At the initial phase, young adults and adults, as well as men and women were almost equally motivated to contribute to malaria control. For the ongoing phase, for age, the two groups were almost equally motivated by recognition of their effort. Also, the opportunity for learning was an important factor among young adults while ease of use of the materials was central for adults. For gender, the usefulness of the project, ease of use of materials, and learning opportunities were important motivational factors among women, while men were more motivated by recognition of their efforts. A framework including motivational factors and barriers at each stage of participation is presented. This framework may be used to explore motivations and barriers in future citizen science projects and might help coordinators of citizen science programs to determine whom to target, by which message, and at what stage of participation to retain volunteers in citizen science projects.

This study employs social network analysis to describe the structure of collaboration among Fellows of the International Communication Association (ICA), an elite group of social scientists, using co-authorship data gathered from Google Scholar. Network analysis revealed that fellows were loosely connected, consistent with past research on elite scholars. Although the association is “international,” over 80% of its members were educated and over 75% were most recently employed in the United States. However, North America did not significantly predict network centrality. No differences in network centrality were observed based on the status of being a former ICA President. Males tended to be slightly more central than females. Unlike for the ICA membership as a whole, Fellows were not differentiated into separate research communities. Furthermore, Fellows have conducted little international collaboration. These results are discussed in terms of the prior literature and its shortcomings.

Worldwide women have increased their participation in STEM, but we are still far from reaching gender parity. Although progress can be seen at the bachelor’s and master’s level, career advancement of women in research still faces substantial challenges leading to a ‘ leaky pipeline ’ phenomenon (i.e., the continuous decrease of women’s participation at advanced career stages). Latin America exhibits encouraging rates of women participation in research, but the panorama varies across countries and stages in the academic ladder. This study focuses on women’s participation in research in natural sciences in Colombia and investigates career progression, leadership roles, and funding rates by analyzing data on scholarships, grants, rankings, and academic positions. Overall, we found persistent gender imbalances throughout the research ecosystem that were significant using classical statistical analyses. First, although women constitute >50% graduates from bachelors in natural sciences, <40% of researchers in this field are female. Second, women win <30% of research grants, and in turn, their scientific productivity is 2X lower than that of men. Third, because of the less research funding and output women have, their promotion to senior positions in academic and research rankings is slower. In consequence, only ~25% of senior researchers and full professors are women. Fourth, the proportion of women leading research groups and mentoring young scientist in Colombia is <30%. Our study deepens our understanding of gender gaps in STEM research in Colombia, and provides information to design initiatives that effectively target gender disparities by focusing on key areas of intervention, and then gradually building up, rather than tackling structural inequities all at once.

By analyzing a unique dataset of more than 270,000 scientists, we discovered substantial gender differences in scientific collaborations. While men are more likely to collaborate with other men, women are more egalitarian. This is consistently observed over all fields and regardless of the number of collaborators a scientist has. The only exception is observed in the field of engineering, where this gender bias disappears with increasing number of collaborators. We also found that the distribution of the number of collaborators follows a truncated power law with a cut-off that is gender dependent and related to the gender differences in the number of published papers. Considering interdisciplinary research, our analysis shows that men and women behave similarly across fields, except in the case of natural sciences, where women with many collaborators are more likely to have collaborators from other fields.