ArgumentFollowing an international trend, Italy has reformed its university system, especially concerning methods and tools for research evaluation, which are increasingly focused on a number of bibliometric indexes. To study the effects of these changes, we analyze the changing profiles of economists who have won competitions for full professorship in the last few decades in the country. We concentrate on individual characteristics and on scientific production. We show that the identification of a univocal and standardized concept of “research quality” within (...) the new research assessments has progressively imposed a strategy of “homologation,” especially for women. We find that women economists are at a higher risk of discrimination than their male colleagues and thus they are more likely to conform their research activities to the standardized profile imposed by the gender-blind application of simplistic bibliometric methods. (shrink)

This article examines publication patterns over the last seventy years from the American Sociological Review and American Journal of Sociology, the two most prominent journals in sociology. We reconstructed the gender of all published authors and each author’s academic pedigree. Results would suggest that these journals published disproportionally more articles by male authors and their coauthors. These gender inequalities persisted even when considering citations and after controlling for the influence of academic affiliation. It would seem that the potentially positive advantage (...) of working in a prestigious, elite sociology department, in terms of better learning environment and reputational signal, for higher publication opportunities only significantly benefits male authors. While our findings do not mean that these journals have biased internal policies or implicit practices, this publication pattern needs to be considered especially regarding the possibility of their “social closure” and isomorphism. (shrink)

From March to September 2020, researchers working at a biomedical scientific campus in Spain faced two lockdowns and various mobility restrictions that affected their social and professional lifestyles. The working group “Women in Science,” which acts as an independent observatory of scientific gender inequalities on campus launched an online survey to assess the impact of COVID-19 lockdowns on scientific activity, domestic and caregiving tasks, and psychological status. The survey revealed differences in scientific performance by gender: while male researchers participated in (...) a larger number of scientific activities for career development, female researchers performed more invisible scientific tasks, including peer review or outreach activities. Mental impact was greater in researchers caring for children or dependents, and this was aggravated for women. Results spot a disproportionate impact of COVID-19 lockdowns on female scientific career development, and urges for equity measures to mitigate the consequences of an increase in the gender gap in biomedical sciences for current and future pandemics. (shrink)

This essay presents the first analysis of gender differences in productivity using panel data on scientists in low-income countries. About 540 researchers in Ghana, Kenya, and Kerala were studied using the same survey instrument in 2001 and 2005. Results indicate very few gender disparities in outcomes at either period of the study with one exception: productivity in international journals. The authors show that substantial gains in access to technology and higher education by women have not reduced the gender gap on (...) this important career dimension. (shrink)

This thesis investigates how differential human factors, such as demography and personality, are related to actual individual behavior. Within this broad context, this work addresses the prevailing lack of real behavior in the scientific field of psychology and differential-/social psychology in particular. Furthermore, this work provides an introduction to the practice of data-logging as a promising alternative to self-reports for the collection of behavioral data. Additionally, we introduce new data-analytical concepts from the field of machine learning in order to appropriately (...) handle large and noisy datasets, such as technical logs. To illustrate these concepts we provide three empirical studies, using behavioral logging procedures. In the first study we report on data obtained in a virtual automotive driving simulation. Using these data, we demonstrate how individual driving patterns can be used to predict driver gender with high accuracy from basic automotive driving logs. Additionally, we provide information about the most important variables associated with male and female driving styles. Two additional studies utilize a specially designed Android application, to automatically collect behavioral user data in a privacy protecting manner from participants private smartphones. The second study describes how most stable mobile application usage on smartphones can be predicted from individual personality and demography scores and highlights implications for personality sensitive recommender systems. The third study demonstrates how individual personality can potentially be predicted, using a wide range of user interactions, with a machine learning approach. Finally, we discuss the reported results within the context of previous research and highlight possible implications of technological advancements for psychological science. (shrink)

The commercialization of academic science has come to be understood as economically desirable for institutions, individual researchers, and the public. Not surprisingly, commercial activity, particularly that which results from patenting, appears to be producing changes in the standards used to evaluate scientists’ performance and contributions. In this context, concerns about a gender gap in patenting activity have arisen and some have argued for the need to encourage women to seek more patents. They believe that because academic advancement is mainly dependent (...) on productivity (Stuart and Ding in American Journal of Sociology 112:97–144, 2006 ; Azoulay et al. in Journal of Economic Behavior & Organization 63:599–623, 2007 ), differences in research output have the power to negatively impact women’s careers. Moreover, in the case of patenting activity, they claim that the gender gap also has the potential to negatively affect society. This is so because scientific and technological advancement and innovation play a crucial role in contemporary societies. Thus, women’s more limited involvement in the commercialization of science and technology can also be detrimental to innovation itself. Nevertheless, calls to encourage women to patent on grounds that such activity is likely to play a significant role in the betterment of both women’s careers and society seem to be based on two problematic assumptions: (1) that the methods to determine women’s productivity in patenting activities are an appropriate way to measure their research efforts and the impact of their work, and (2) that patenting, particularly in academia, benefits society. The purpose of this paper is to call into question these two assumptions. (shrink)

Academic productivity is realized through resources obtained from professional networks in which scientists are embedded. Using a national survey of academic faculty in Science, Technology, Engineering, and Mathematics fields across multiple institution types, we examine how the structure of professional networks affects scholarly productivity and how those effects may differ by race, ethnicity, and gender. We find that network size masks important differences in composition. Using negative binomial regression, we find that both the size and composition of professional networks affect (...) scientific productivity, but bigger is not always better. We find that instrumental networks increase scholarly productivity, while advice networks reduce it. There are important interactive effects that are masked by modeling only direct effects. We find that white men are especially advantaged by instrumental networks, and women are especially advantaged by advice networks. (shrink)