Intersectional analysis for science and technology.

Intersectionality describes interdependent systems of inequality related to sex, gender, race, age, class and other socio-political dimensions. By focusing on the compounded effects of social categories, intersectional analysis can enhance the accuracy and experimental efficiency of science. Here we extend intersectional approaches that were predominantly developed in the humanities, social sciences and public health to the fields of natural science and technology, where this type of analysis is less established.

Role of Gender in Health and Disease: Methods of Reporting and Interactions with Sex and Other Factors.

Sex and gender are distinct terms that must be used correctly. Data regarding sex and gender may be collected using a 2-step method that separates biological sex and self-reported gender identity. The PhenX Toolkit, funded by the National Institutes of Health (NIH), is one tool that provides investigators with recommended standard data-collection protocols.

A multifaceted approach to global health.

World Health Day underscores the scientific community's commitment to achieving health equity for all. It is paramount to eliminate bias in research that has traditionally focused on men, neglecting the specific needs of diverse populations. Innovative clinical trial designs are being developed with more inclusive enrollment.

Londa Schiebinger.

Dr. Londa Schiebinger is an international leader on the intersection of sex, gender, and science. In this interview with Cell, she discusses the Gendered Innovations project, the persistent STEM gender gap, the importance of considering sex- and gender-related variables and intersectionality in research, and the future of sex and gender research.

Reflecting on Progress in and Establishing Benchmarks for Sex and Gender Health Education.

Sex and gender influence every aspect of human health; thus, sex- and gender-related topics should be incorporated in all aspects of health education curricula. Sex and gender health education (SGHE) is the rigorous, intersectional, data-driven integration of sex and gender into all elements of health education. A multisectoral group of thought leaders has collaborated to advance SGHE since 2012.

Exploring climate-induced sex-based differences in aquatic and terrestrial ecosystems to mitigate biodiversity loss.

The response of aquatic and terrestrial organisms to climate change can depend on biological sex. A key challenge is to unravel the interactive effects of sex and climate change at the individual and population levels and the cascading effects on communities. This new understanding is essential to improve climate adaptation and mitigation strategies.

A framework for sex, gender, and diversity analysis in research.

Funding agencies have ample room to improve their policies.

Sex, gender, and intersectional puzzles in health and biomedicine research.

Excellent research integrates sex, gender, and/or intersectional analysis-from the very beginning and throughout the research process. This article highlights techniques for analyzing sex, how sex and sex interact, how sex and gender interact, and the need for intersectional analysis. Designing sex, gender, and intersectional analysis into research is one crucial component contributing to world-class health and biomedicine.

Diversifying history: A large-scale analysis of changes in researcher demographics and scholarly agendas.

Background: In recent years, interest has grown in whether and to what extent demographic diversity sparks discovery and innovation in research. At the same time, topic modeling has been employed to discover differences in what women and men write about. This study engages these two strands of scholarship to explore associations between changing researcher demographics and research questions asked in the discipline of history.

The Integration of Sex and Gender Considerations Into Biomedical Research: Lessons From International Funding Agencies.

To improve the outcomes of research and medicine, government-based international research funding agencies have implemented various types of policies and mechanisms with respect to sex as a biological variable and gender as a sociocultural factor. After the 1990s, the US National Institutes of Health (NIH), the Canadian Institutes of Health Research (CIHR), and the European Commission (EC) began requesting that applicants address sex and gender considerations in grant proposals, and offering resources to help the scientific community integrate sex and gender into biomedical research. Although it is too early to analyze data on the success of all of the policies and mechanisms implemented, here we review the use both of carrots (incentives) and sticks (requirements) developed to motivate researchers and the entire scientific research enterprise to consider sex and gender influences on health and in science.

Ensuring that biomedical AI benefits diverse populations.

Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic research discovery to individual health assessment. It is critical that these advances in technology broadly benefit diverse populations from around the world. This can be challenging because AI algorithms are often developed on non-representative samples and evaluated based on narrow metrics.

Gender-related variables for health research.

Background: In this paper, we argue for Gender as a Sociocultural Variable (GASV) as a complement to Sex as a Biological Variable (SABV). Sex (biology) and gender (sociocultural behaviors and attitudes) interact to influence health and disease processes across the lifespan-which is currently playing out in the COVID-19 pandemic. This study develops a gender assessment tool-the Stanford Gender-Related Variables for Health Research-for use in clinical and population research, including large-scale health surveys involving diverse Western populations.

Sex and gender analysis improves science and engineering.

The goal of sex and gender analysis is to promote rigorous, reproducible and responsible science. Incorporating sex and gender analysis into experimental design has enabled advancements across many disciplines, such as improved treatment of heart disease and insights into the societal impact of algorithmic bias. Here we discuss the potential for sex and gender analysis to foster scientific discovery, improve experimental efficiency and enable social equality.

Making gender diversity work for scientific discovery and innovation.

Gender diversity has the potential to drive scientific discovery and innovation. Here, we distinguish three approaches to gender diversity: diversity in research teams, diversity in research methods and diversity in research questions. While gender diversity is commonly understood to refer only to the gender composition of research teams, fully realizing the potential of diversity for science and innovation also requires attention to the methods employed and questions raised in scientific knowledge-making.

Gendered Innovation in Health and Medicine.

Excellence in research requires careful attention to sex and gender analysis. The Gendered Innovations project, initiated in 2009, develops state-of-the-art methods of sex and gender analysis for basic and applied research. This chapter reviews recent developments in cardiovascular disease for (1) analyzing sex, (2) analyzing gender, and (3) policy initiatives.

Word embeddings quantify 100 years of gender and ethnic stereotypes.

Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we develop a framework to demonstrate how the temporal dynamics of the embedding helps to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States.

One and a half million medical papers reveal a link between author gender and attention to gender and sex analysis.

Gender and sex analysis is increasingly recognized as a key factor in creating better medical research and health care . Using a sample of more than 1.5 million medical research papers, our study examined the potential link between women's participation in medical science and attention to gender-related and sex-related factors in disease-specific research.

Considering sex as a biological variable in preclinical research.

In June 2015, the National Institutes of Health (NIH) released a Guide notice (NOT-OD-15-102) that highlighted the expectation of the NIH that the possible role of sex as a biologic variable be factored into research design, analyses, and reporting of vertebrate animal and human studies. Anticipating these guidelines, the NIH Office of Research on Women's Health, in October 2014, convened key stakeholders to discuss methods and techniques for integrating sex as a biologic variable in preclinical research. The workshop focused on practical methods, experimental design, and approaches to statistical analyses in the use of both male and female animals, cells, and tissues in preclinical research.