Although women have made important inroads in science and engineering since the early 1970s, their progress in these fields has stalled over the past several years. This study looks at women in science and engineering careers in the 1970s and 1980s, documenting differences in career outcomes between men and women and between women of different races and ethnic backgrounds. The panel presents what is known about the following questions and explores their policy implications: In what sectors are female Ph.D.s employed? What salary disparities exist between men and women in these fields? How is marital status associated with career attainment? Does it help a career to have a postdoctoral appointment? How well are female scientists and engineers represented in management? Within the broader context of education and the labor market, the book provides detailed comparisons between men and women Ph.D.s in a number of measures: financial support for education, academic rank achieved, salary, and others. The study covers engineering; the mathematical, physical, life, and social and behavioral sciences; medical school faculty; and recipients of National Institutes of Health grants. Findings and recommendations in this volume will be of interest to practitioners, faculty, and students in science and engineering as well as education administrators, employers, and researchers in these fields.

Although women have made important inroads in science and engineering since the early 1970s, their progress in these fields has stalled over the past several years. This study looks at women in science and engineering careers in the 1970s and 1980s, documenting differences in career outcomes between men and women and between women of different races and ethnic backgrounds. The panel presents what is known about the following questions and explores their policy implications: In what sectors are female Ph.D.s employed? What salary disparities exist between men and women in these fields? How is marital status associated with career attainment? Does it help a career to have a postdoctoral appointment? How well are female scientists and engineers represented in management? Within the broader context of education and the labor market, the book provides detailed comparisons between men and women Ph.D.s in a number of measures: financial support for education, academic rank achieved, salary, and others. The study covers engineering; the mathematical, physical, life, and social and behavioral sciences; medical school faculty; and recipients of National Institutes of Health grants. Findings and recommendations in this volume will be of interest to practitioners, faculty, and students in science and engineering as well as education administrators, employers, and researchers in these fields.

Gender Differences at Critical Transitions in the Careers of Science, Engineering, and Mathematics Faculty presents new and surprising findings about career differences between female and male full-time, tenure-track, and tenured faculty in science, engineering, and mathematics at the nation's top research universities. Much of this congressionally mandated book is based on two unique surveys of faculty and departments at major U.S. research universities in six fields: biology, chemistry, civil engineering, electrical engineering, mathematics, and physics. A departmental survey collected information on departmental policies, recent tenure and promotion cases, and recent hires in almost 500 departments. A faculty survey gathered information from a stratified, random sample of about 1,800 faculty on demographic characteristics, employment experiences, the allocation of institutional resources such as laboratory space, professional activities, and scholarly productivity. This book paints a timely picture of the status of female faculty at top universities, clarifies whether male and female faculty have similar opportunities to advance and succeed in academia, challenges some commonly held views, and poses several questions still in need of answers. This book will be of special interest to university administrators and faculty, graduate students, policy makers, professional and academic societies, federal funding agencies, and others concerned with the vitality of the U.S. research base and economy.

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.

Women earn nearly half of all new PhDs in Canada, the United States, Australia, New Zealand, and the United Kingdom. Why, then, do they occupy a disproportionate number of the junior-level university positions while men occupy 80 percent of the more prestigious jobs? In Academic Careers and the Gender Gap, Maureen Baker draws on candid interviews with male and female scholars, previous research, and her own thirty-eight-year academic career to explain the reasons behind this inequality. She argues that current university priorities and collegial relations often magnify the impact of gendered families and identities and perpetuate the gender gap. Tracing the evolution of university priorities and practices, Baker reveals significant and persistent differences in job security, working hours, rank, salary, job satisfaction, and career length between male and female scholars.

"This chapter introduces our holistic view of knowledge production in sociology and political science. Enlarging our view beyond the individualistic publication pipeline metaphor, we press the conception of academics as citizens of a knowledge polity with rights and responsibilities. Knowledge production does not just mean research, but encompasses teaching, reviewing, blogging, commenting, and other activities, which signal its communal nature. We then advance an explanation for knowledge production that situates academics in institutional and social contexts - including the family - while maintaining individual agency. We search for inequalities by gender and racial/ethnic identification, but are careful to consider the changing compositions of political science and sociology (both are diversifying steadily) and different situations (e.g., faculty rank) when making comparisons. The chapter describes our PASS study, which sampled academic departments and surveyed 1,700 faculty in 2017. Respondent reports were linked with data on lifetime publications, Twitter activity and other data"--