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Women comprise the majority of graduates from psychology doctoral programs, but equity is yet to be achieved in the professoriate. Publication drives career advancement, underscoring the need to investigate publication-based metrics of eminence. To our knowledge, authorship of invited submissions--a proxy of research esteem--has not been the focus of any psychology studies. In this cross-sectional study, authorship of invited submission(s) in five elite psychology journals (2015-2019) was investigated: Psychological Science in the Public Interest, Annual Review of Psychology, Trends in Cognitive Sciences, Annual Review of Clinical Psychology, and Annual Review of Organizational Psychology and Organizational Behavior. We hypothesized that women would be underrepresented. Author gender was classified using publicly available details (e.g., pronouns on professional websites). Primary outcomes were the proportion of women solo-, first-, or likely invited authors, relative to the proportion of women full and associate professors in psychology at R1 institutions (42.3%). Of 1,828 authorship positions (713 articles), 35.6% were occupied by women. Relative to the nominated base rate, women were disproportionately underrepresented. When the likely invited author on a multi-author publication was a woman, the first author was a woman on 51.0% of papers; when the likely invited author was a man, the first author was a woman on 34.1% of papers. These findings align with prior studies and extend the research by demonstrating that the gender publication gap in psychology is exacerbated in invited submissions and driven by particular subfields. Continued efforts are needed to redress gender disparities in authorship of invited submissions. [ABSTRACT FROM AUTHOR]

Controlling the pandemic has necessitated governments across the world to implement behavior change agenda, through new policies, laws, and public communication strategies. The concept of “psychological governance” has therefore been crucial to curtailing the pandemic. Psychological governance is the application of insights from behavioral and psychological sciences to public policy for the purpose of influencing behavior at the individual, group, and population levels. Similarly, a macropsychology perspective aims to understand and shape behavior at the population level, through the application of psychology to factors that influence the settings and conditions of our lives, such as policies, institutions, systems, and structures. Psychological governance and a macropsychology perspective are key to effectively supporting pandemic preparedness, coping, and recovery at the population level. In this paper, the role of psychological governance in responding to COVID-19 is considered. This paper also examines the role of several macropsychological factors in the pandemic, including heroism, trust in government, culture, and equitable access and human rights. [ABSTRACT FROM AUTHOR]

Researchers, governments, ethics watchdogs, and the public are increasingly voicing concerns about unfairness and bias in artificial intelligence (AI)-based decision tools. Psychology's more-than-a-century of research on the measurement of psychological traits and the prediction of human behavior can benefit such conversations, yet psychological researchers often find themselves excluded due to mismatches in terminology, values, and goals across disciplines. In the present paper, we begin to build a shared interdisciplinary understanding of AI fairness and bias by first presenting three major lenses, which vary in focus and prototypicality by discipline, from which to consider relevant issues: (a) individual attitudes, (b) legality, ethicality, and morality, and (c) embedded meanings within technical domains. Using these lenses, we next present psychological audits as a standardized approach for evaluating the fairness and bias of AI systems that make predictions about humans across disciplinary perspectives. We present 12 crucial components to audits across three categories: (a) components related to AI models in terms of their source data, design, development, features, processes, and outputs, (b) components related to how information about models and their applications are presented, discussed, and understood from the perspectives of those employing the algorithm, those affected by decisions made using its predictions, and third-party observers, and (c) meta-components that must be considered across all other auditing components, including cultural context, respect for persons, and the integrity of individual research designs used to support all model developer claims. [ABSTRACT FROM AUTHOR]

This article presents a developmental model of anti-racism among White children and youth. Informed by a structural–psychological framework (Syed & McLean, 2021), the model proposes that anti-racist development is inseparable from the structures and systems that uphold racial inequality in the United States. In articulating the processes by which children and early adolescents move toward becoming anti-racist, the model emphasizes foundational abilities (e.g., socio-cognitive skills and moral development), a developing sense of self and society (e.g., recognition of racism and understanding of White privilege), and the importance of anti-racism action and promotive contexts (especially within schools and families). This paper concludes with advancing a research agenda for developmental scientists studying the development of anti-racism among White children and youth and implications for parents, practitioners, and educators. [ABSTRACT FROM AUTHOR]

The Edwin B. Newman Graduate Research Award is sponsored jointly by Psi Chi, the national honor society in psychology, and the APA. The award is presented annually to the psychology graduate student who submits the best research paper that was published or presented at a national, regional, or state psychological association conference during the past calendar year. The Edwin B. Newman Graduate Research Award was established in 1979. The award was established to recognize young researchers at the beginning of their professional lives and to commemorate both the 50th anniversary of Psi Chi and the 100th anniversary of psychology as a science (dating from the founding of Wundt's laboratory). It was named for Dr. Edwin B. Newman, the first national president of Psi Chi (1929) and one of its founders. He was a prolific researcher and a long-time chair of the Department of Psychology at Harvard University. Newman was a member of APA's Board of Directors, served as recording secretary of the board from 1962 to 1967, and was parliamentarian for the APA Council of Representatives for many years. He served both Psi Chi and APA in a distinguished manner for half a century. [ABSTRACT FROM AUTHOR]