We demonstrate how men and women political scientists in PhD-granting departments perceive the professional climates there. We find remarkable differences in how men and women perceive the “cultural” climates of their departments, such as the degree to which it is sexist, but not in how they perceive strictly collegial aspects of climate. We also demonstrate that these patterns characterize the perceptions of men and women at both junior and senior ranks. Contrary to some past research, we also find that climate perceptions do not have a general effect on faculty research productivity. Further, perceptions of high departmental sexism by women scholars does not degrade their research productivity.

There is a severe mental health crisis among graduate students in political science. We present findings from an original survey on the mental health of political science PhD students at seven US universities. Our results are concerning: 15.8% expressed thoughts of suicide in the two weeks prior to taking the survey. About 30% of respondents met the criteria for depression and only a third of those were receiving treatment. Approximately 32% met the criteria for anxiety and fewer than half were receiving treatment. We also found that students with poorer mental health were more isolated, had fewer friends in their department and fewer people to turn to for help, and were more likely to contemplate dropping out of their program. Our study raises important questions about the experiences of graduate students during the PhD program and serves as an urgent call to action to address the well-being of our colleagues.

The relationship between digital technology and politics is an important phenomenon that remains poorly understood due to several structural problems. A key issue is the lack of adequate research infrastructures or the lack of access. This article discusses the challenges many social scientists face and presents the infrastructure we built in Switzerland to overcome them, using COVID-19 as an example. We conclude by discussing seven lessons we learned: automatization is key; avoid data hoarding; outsource some parts of the infrastructure but not others; focus on substantive questions; share data in the context of collaborations; engage in targeted public outreach; and collaboration is more promising than competition. We hope that our experience is helpful to other researchers pursuing similar goals.