This article explores the differential impact of the COVID-19 pandemic on the productivity of male and female academics and whether the ongoing health crisis will exacerbate further the existing gender gap in academia in both the short and long terms. We present early evidence of the pandemic’s disproportionate effect on women’s research productivity using online survey data supplemented by interview data with regional and international female political scientists. The interviews and survey findings reveal gender disparities in perceived research productivity and service workloads during the pandemic. The results also shed initial light on the pandemic’s impact on the research productivity of academics who are parents, especially among women.

Extant studies have predominantly focused on women’s numerical presence in the Middle East and North Africa (MENA)’s legislatures, yet, research examining the role played by female politicians continues to be limited. To bridge this gap, we study one of the most important, albeit overlooked, bodies within these assemblies: legislative committees. Using an original dataset on committee memberships (n=4580), our data show that females are significantly marginalized from influential committees and tend to be sidelined to social issues and women’s committees. To explain this, we develop a theory of provisional gender stereotyping. We argue that the duration of quota implementation shapes women’s access to influential committees. We focus on two mechanisms to support our argument: a redistribution of power dynamics within legislative bodies and women’s political expertise.

Emerging assistive technologies, such as assistive domotics and socially assistive robots have considerable potential for enhancing the lives of many elderly and physically challenged people throughout the world. Blind and visually impaired people can use these technologies for many tasks recognizing objects, handling various household duties, navigation in indoor and outdoor environments. Door detection is one of the important issues in indoor navigation. This paper presents a novel vision-based door detection technique. It is based on the geometric properties of the 4-side polygon. The efficacy of the proposed method is tested using large database of images with different levels of complexity. The experimental results show the robust ness of the proposed method against changes in colors, sizes, shapes, orientations, and textures of the door. De tection rate of 83% with relatively low false positive rate for simple images is achieved. This proposed algorithm is suitable for real-time, portable applications where it only requires one digital camera and low computational resources.

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Previous work on political tolerance has overwhelmingly focused on established democracies. Consequently, our knowledge continues to be limited with regard to the drivers of tolerance in less democratic transitional and nondemocratic settings. In this paper, we examine what could best promote tolerance of least-favored political groups in such contexts. We use a survey experiment in Egypt to test competing theories through exposing respondents to different primes, emphasizing the importance of tolerance on the basis of religious, economic, or government endorsements. Respondents were then asked questions to gauge their tolerance levels toward their least-favored group. We control for the level of trust in government, religiosity, interpersonal trust, contact, and political knowledge. Our data show soaring levels of intolerance among Egyptians. However, we found evidence that priming respondents with the economic benefits of having a tolerant society is the most effective way to promote tolerant attitudes, especially among those with lower levels of education and younger age groups. Additionally, our analysis demonstrated that respondents’ level of trust in government has a strong effect on tolerance attitudes.