If the life sciences are to have much to say about politics, there needs to be a universal element to political orientations. In this essay, I argue that the recent prominence of nativist, law-and-order, populist politicians reveals the nature of this universal element. All social units have to address bedrock dilemmas about how to deal with norm violators and how welcoming to be to outsiders as well as to proponents of new lifestyles. Might differences on these core dilemmas be the universal element of political life? Using the followers of one of the most prominent examples of a nativist political leader—Donald Trump—as an example, I present data showing that Trump’s most earnest followers are different from others—even those who share their general ideological leanings—not on traditional economic or social issues, but rather on the group-based security issues that grow out of the bedrock dilemmas of social life.

In this article, we examine whether there is genetic overlap between personality traits and political participation, interest, and efficacy. We make several contributions to the literature. First, we use new data from a large sample of twins from Denmark to examine the link between genes, the Big Five traits, and political behavior. Previous research in this area has not examined the Danish context. Second, because our measures have some overlap with those used in previous studies, we are able to examine whether previous findings replicate in a different sample. Finally, we extend the literature by examining the possible genetic link between some personality and political traits that have not yet been explored. Overall, we find that genes account for a fairly large share of the correlation between two of the Big Five personality traits (openness and extraversion), political participation, and political interest. Thus, most of the relationship between these personality traits and our measures of political behavior can be accounted for by a common underlying genetic component.

The 2020 U.S. presidential election saw rising political tensions among ordinary voters and political elites, with fears of election violence culminating in the January 6 riot. We hypothesized that the 2020 election might have been traumatic for some voters, producing measurable symptoms of post-traumatic stress disorder (PTSD). We also hypothesized that negative sentiment toward the opposing party correlates with PTSD. We measured PTSD using a modified version of the PCL-5, a validated PTSD screener, for 573 individuals from a nationally representative YouGov sample. We modeled the association between affective polarization and PTSD, controlling for political, demographic, and psychological traits. We estimate that 12.5% of American adults (95% CI: 9.2% to 15.9%) experienced election-related PTSD, far higher than the annual PTSD prevalence of 3.5%. Additionally, negativity toward opposing partisans correlated with PTSD symptoms. These findings highlight a potential need to support Americans affected by election-related trauma.

Taking insights from the fields of psychology and biology, a growing body of scholarship considers the psychophysiological foundations of political attitudes. Subconscious emotional reactions to threat, for example, have been shown to predict socially conservative attitudes toward out-groups. However, many of these studies fail to consider different sources of perceived threat. Using a combination of survey and physiological data, I distinguish between fear of others and fear of authority, finding that threat sensitivity predicts divergent political attitudes depending on the strength of each. Those who are more sensitive to threat from others tend to hold socially conservative attitudes, while those who fear authority generally take more libertarian positions. As sensitivity to threat is at least partially inherited, these findings highlight the genetic role of political predispositions.

In 2008, the Chinese government created the Thousand Talents Program (TTP) to recruit overseas expertise to build up China’s science and technology knowledge and innovation base. Ten years later, in 2018, the Federal Bureau of Investigation (FBI) announced a new “China Initiative” that aimed to counter the transfer by U.S.-based scientists involved in the TTP of knowledge and intellectual property that could support China’s military and economic might and pose threats to U.S. national security. This initiative launched a number of investigations into major U.S. federal funding agencies and universities and charged several scientists, many of them life scientists, with failing to accurately report their work and affiliations with Chinese entities and illegally transferring scientific information to China. Although the FBI cases demonstrate a clear problem with disclosure of foreign contracts and research integrity among some TTP recipients, they have failed to demonstrate any harm to U.S. national security interests. At the heart of this controversy are core questions that remain unresolved and need more attention: What is required to transfer and develop knowledge to further a country’s science and technology ambitions? And can the knowledge acquired by a visiting scientist be easily used to further a country’s ambitions? Drawing on literature from the field of science and technology studies, this article discusses the key issues that should be considered in evaluating this question in the Chinese context and the potential scientific, intelligence, and policy implications of knowledge transfer as it relates to the TTP.

Sleep changes predate shifts in mood/affect, thought processing, mental and physical health, civic engagement, and contextual circumstances, among other things. Theory predicts that these changes may lead to shifts in political and social beliefs. Do sleep disruptions shape how individuals see the world, the people around them, and themselves in relation to others? In this article, we use daily survey data from the 77 waves (N $ \approx $ 460,000) of the University of California, Los Angeles’s 2019–2021 Nationscape Survey—a nationally representative political survey—to examine the effect of an exogenous short-term sleep disruption on measures of political views, polarization, and discriminatory beliefs. Using this data set, we leverage the modest sleep disruption that occurs at the start (and end) of Daylight Saving Time (DST) and employ a regression discontinuity in time design around the precise DST cutoff (which we supplement with event study models). Despite strong theoretical expectations and correlational connection between measures of sleep and many outcomes related to social fragmentation, we find that the DST change has little to no causal effect on citizens’ levels of polarization or their discriminatory attitudes. These effects are precise enough to rule out small effects, robust to a host of specification checks, and consistent across potential subgroups of interest. Our work adds to a small but growing body of research on the social and political effects of sleep disruptions.

Immigration has become a focal debate in politics across the world. Recent research suggests that anti-immigration attitudes may have deep psychological roots in implicit disease avoidance motivations. A key implication of this theory is that individual differences in disease avoidance should be related to opposition to immigration across a wide variety of cultural and political contexts. However, existing evidence on the topic has come almost entirely from the United States and Canada. In this article, we test the disease avoidance hypothesis using nationally representative samples from Norway, Sweden, Turkey, and Mexico, as well as two diverse samples from the United States. We find consistent and robust evidence that disgust sensitivity is associated with anti-immigration attitudes and that the relationship is similar in magnitude to education. Overall, our findings support the disease avoidance hypothesis and provide new insights into the nature of anti-immigration attitudes.

While there have always been those in the American public who mistrust science and scientists’ views of the world, they have tended to be a minority of the larger public. Recent COVID-19 related events indicate that could be changing for some key groups. What might explain the present state of mistrust of science within an important component of the American public? In this study, we delve deeply into this question and examine what citizens today believe about science and technology and why, focusing on core theories of trust, risk concern, and political values and on the important role of science optimism and pessimism orientations. Using national public survey data, we examine the correlates of science optimism and pessimism and test the efficacy of this construct as drivers of biotechnology policy. We find that science optimism and pessimism are empirically useful constructs and that they are important predictors of biotechnology policy choices.

Partisans in the American electorate are affectively polarized, which coincides with the tendency for partisan geographic sorting. Could mate selection pressures contribute to this geographic tendency, and how might they interact with out-party affect? I propose a model in which an individual’s perception of their mate success in a niche is key. I argue that perceived mate success is a function of a niche’s partisanship and one’s out-party affect, which in turn, incentivizes sorting. The model is partially tested with conjoint experiments on multiple U.S. samples. Results show that partisans perceive a lower probability of mate success in niches with greater shares of out-partisans and that mate success interacts with negative out-party affect. I also replicate findings on political mate choice preferences with a more appropriate method. Lastly, this project links instrumentality and affect, which is a departure from past work. In doing so, it contributes to research on the consequences of mate pressures for political behavior.

In the past decade, international actors have launched “brain projects” or “brain initiatives.” One of the emerging technologies enabled by these publicly funded programs is brain-computer interfaces (BCIs), which are devices that allow communication between the brain and external devices like a prosthetic arm or a keyboard. BCIs are poised to have significant impacts on public health, society, and national security. This research presents the first analytical framework that attempts to predict the dissemination of neurotechnologies to both the commercial and military sectors in the United States and China. While China started its project later with less funding, we find that it has other advantages that make earlier adoption more likely. We also articulate national security risks implicit in later adoption, including the inability to set international ethical and legal norms for BCI use, especially in wartime operating environments, and data privacy risks for citizens who use technology developed by foreign actors.

Partisans have biased perceptions of objective conditions. At first glance, the COVID-19 pandemic would appear to be an example of this phenomenon. Noting that most citizens have consistently agreed about the pandemic, I argue that we have overlooked pre-political factors that are as influential as partisanship in shaping citizens’ responses to the pandemic. I identify one such construct in perceived vulnerability to infectious disease (PVD). In one cross-sectional study and one panel study, I find that the influence of PVD on citizens’ perceptions of COVID-19 equals that of partisanship. I also find that PVD can moderate the influence of partisanship on perceptions of harmfulness, nearly erasing the impact of being a Republican on perceiving COVID-19 as a threat. When led by PVD as well as partisanship to accurately perceive harm, citizens, including Republicans, attribute more responsibility to former president Donald Trump for his failed handling of the crisis.

The advent of COVID-19 vaccination meant a moment of hope after months of crisis communication. However, the context of disinformation on social media threatened the success of this public health campaign. This study examines how heads of government and fact-checking organizations in four countries managed communications on Twitter about the vaccination. Specifically, we conduct a content analysis of their discourses through the observation of propaganda mechanisms. The research draws on a corpus of words related to the pandemic and vaccines in France, Spain, the United Kingdom, and the United States (n = 2,800). The data were captured for a five-month period (January–May 2021), during which COVID-19 vaccines became available for elderly people. The results show a trend of clearly fallacious communication among the political leaders, based on the tools of emphasis and appeal to emotion. We argue that the political messages about the vaccination mainly used propaganda strategies. These tweets also set, to a certain extent, the agendas of the most relevant fact-checking initiatives in each country.

We examine the likely acceptance of the COVID-19 vaccine in the period prior to political polarization around vaccine mandates. Two representative cross-sectional surveys of 1,000 respondents were fielded in August and December 2020. The surveys included items about the COVID-19 vaccine and vaccine mandates. Respondents self-identifying as liberal were the least likely to believe the vaccine had undisclosed harmful effects (p< .001), conservatives were the most likely (p < .001), and moderates fell in between. Individuals with a bachelor’s degree were less likely to think the vaccine had undisclosed harmful effects than individuals without a bachelor’s degree (p < .001), and 60.5% of those individuals did not support a government vaccine mandate. Political ideology was more often strongly associated with avoiding government involvement compared to education level. In summary, both liberal political ideology and higher education were significantly associated with endorsing intended vaccine uptake. We discuss these results in terms of positive versus negative rights.

Three North Carolina Medicaid surveys conducted from 2000 to 2012 reported increasing numbers of Hispanic children enrolled in Medicaid and much lower trust in providers expressed by their adult caregiver respondents compared with responses for non-Hispanic Black and White children. To verify and explain this apparent trust chasm, we used bivariate and regression analyses. The variables employed included trust (dependent variable); child’s race/ethnicity, age, and sex; satisfaction and health status scales; two utilization measures; respondent’s age, sex, and education; geographical region; and population density of county of residence. Race/ethnicity was strongly associated with trust (p < .001), controlling for other independent variables. Access, satisfaction, and respondent’s age and education were also significant. Our results fit the Behavioral Model for Vulnerable Populations, which maps the role of significant variables in health-seeking behavior. After analyzing the concept of trust, we argue that lower acculturation explains lower Hispanic trust compared with non-Hispanic Blacks. We suggest policies to improve acculturation.

In recent decades, political psychologists have given a lot of attention to the role of emotions in politics. While there have been several different research programs, the dominant paradigm has been set by affective intelligence theory (AIT), developed by George Marcus, Russell Neuman, and Michael Mackuen. AIT has helped explain many puzzles in understanding how emotions influence political decisions, as any good paradigm should. At the same time, I argue it has also had the effect of limiting broader research into the range of discrete emotions, especially contempt. While recognizing the value of AIT, I call for more research that goes beyond its boundaries, showing through several recent studies how a focus on the additional effects of contempt can improve our understanding of voter decision-making.

After drawing a distinction between “class” and “status,” an early but short-lived sociological literature on status politics is reviewed. That approach has lost favor, but moral foundations theory (MFT) offers a new opportunity to link morality policy to status politics. While any of the five moral foundations (care, fairness, loyalty, authority, sanctity) can provoke conflict over status, most often sanctity is the cause of status politics because it engages the emotion of disgust. Disgust drives the behavioral immune system, which prevents us from being infected by contaminants in tainted food or by “outsiders” who are perceived to follow unconventional practices. This research note concludes by referencing 20 empirical studies in which feelings of disgust targeted certain groups or practices in society (i.e., immigrants, criminals, abortion). Thus, status politics is the origin of morality policy.

Besides vaccine certificates, research suggests leaders also need to trigger society’s intrinsic motivation to help in order to achieve lasting and equitable solutions.

This research letter introduces readers to health intelligence by conceptualizing critical components and providing a primer for research within political science broadly considered. Accordingly, a brief review of the literature is provided, concluding with possible future research agendas. The aim is to elaborate on the importance of public health intelligence to national security studies, and to political science more generally.