A global examination of what influences women's participation in computing and what can be done to fix the gender gap.

Written in an accessible style with comprehensive coverage, the Handbook of Gender and Technology provides an excellent foundation examining gender equity in technology fields. Covering the state of the art, chapters consider three key influences – environmental, identity and individual – to highlight interventions to address the gender gap in technology.

This open access book explores what makes women decide to pursue a career in male-dominated fields such as information technology (IT). It reveals how women experience gendered stereotypes but also how they bypass, negotiate, and challenge such stereotypes, reconstructing gender-technology relations in the process. Using the example of Norway to illuminate this challenge in Western countries, the book includes a discussion of the “gender equality paradox”, where gender equality exists in parallel with gender segregation in fields such as IT. The discussion illustrates how the norm of gender equality in some cases hinders rather than promotes efforts to increase women’s participation in technology-related roles.

Chapters 5, 12, and 18 of this work are available under the terms of a CC BY-NC-ND 4.0 International open access licence. These parts of the work are free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations. Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society. Recent years have seen both an explosion in AI systems and a corresponding rise in important critical analyses of these technologies. Central to these analyses has been feminist scholarship, which calls upon the AI sector to be accountable for designing and deploying AI in ways that further, rather than undermine, the pursuit of social justice. This book aims to be a touchstone text for AI researchers concerned with the social impact of their systems, as well as theorists, students and educators in the field of gender and technology. It demonstrates the importance of an intersectional understanding of the risks and benefits of AI, approaching feminism as a political project that aims to challenge various interlocking forms of injustice, social inequality and structural relations of power. Feminist AI showcases the vital contributions of feminist scholarship to thinking about AI, data, and intelligent machines as well as laying the groundwork for future feminist scholarship on AI. It brings together scholars from a variety of disciplinary backgrounds, from computer science, software engineering, and medical sciences to political theory, anthropology, and literature. It provides an entry point for scholars of AI, science and technology into the diversity of feminist approaches to AI, and creates a rich dialogue between scholars and practitioners of AI to examine the powerful congruences and generative tensions between different feminist approaches to new and emerging technologies. It features original and essential works specially selected to span multiple generations of practitioners and scholars. These contributors are also attuned to conversations at industry-level around the risks and possibilities that frame the drive to adopt AI. This collection reflects the increasingly blurred divide between the academy, industry and corporate research groups and brings interdisciplinary feminist insights together with postcolonial studies, disability theory, and critical race studies to confront ageism, racism, sexism, ableism, and class-based oppressions in AI.

This book constitutes the proceedings of the 7th International Conference on Digital Economy, ICDEc 2022, which took place in Bucharest, Romania, in May 2022. The 15 full papers included in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections as follows: Digitalization and COVID 19; digital business models for education and healthcare; IT user behavior and satisfaction; digital marketing; and digital transformation.

Exploring the social implications of digital transformation, as well as demonstrating how we might use digital transformation to further sociological knowledge, this incisive Handbook provides an extensive overview of cutting-edge research on the digital turn of modern society. This title contains one or more Open Access chapters.

Despite decades of activism and efforts in society and government, women still face significant barriers to gender equality and economic empowerment in the business world. However, advancements in modern technology may present an opportunity to upend the systems that support inequality. The industrial revolution may have transformed industries, but thus far, it has failed to eradicate longstanding inequalities. Effective Technology for Gender Equity in Business' and Organizations addresses this pressing issue by offering a collection of original research aimed at professionals, policymakers, and knowledge management experts, and examines how new technology can be integrated into various levels of organizations to help continue breaking down barriers and advancing gender equity. This book brings together relevant theoretical frameworks and the latest empirical research findings in gender equity with the aid of modern technology. It targets professionals seeking to enhance their understanding of modern technology's strategic role in contemporary society, including its application at the global economy, network, team building, and information system levels. By offering insights into the recent potential to reduce the gender gap and empower women with these advancements, this book is a valuable resource for those working in healthcare, business organizations, information sciences, and more.

This Handbook provides a thorough discussion of the most recent wave of technological (and organisational) innovations, frequently called “smart” and based on the digitisation of information. The acronym stands for "Self-Monitoring, Analysis and Reporting Technology". This new wave is one in a row of waves that have shaken up and transformed the economy, society and culture since the first Industrial Revolution and have left a huge impact on how we live, think, communicate and work: they have deeply affected the socioeconomic metabolism from within and humankind’s footprint on our planet. The Handbook analyses the origins of the current wave, its roots in earlier ones and its path-dependent nature; its current forms and actual manifestations; its multifarious impact on economy and society; and it puts forward some guesstimates regarding the probable directions of its further development. In short, the Handbook studies the past, the present and the future of smart technologies and digitalisation. This cutting-edge reference will appeal to a broad audience, including but not limited to, researchers from various disciplines with a focus on technological innovation and their impact on the socioeconomic system; students across different fields but especially from economics, social sciences and law studying questions related to radical technological change and its consequences, as well as professionals around the globe interested in the debate of smart technologies and socioeconomic transformation, from a multi- and interdisciplinary perspective.

Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline. It provides an international overview of key concepts, pedagogical approaches and assessment practices. Highlights of the second edition include: - New sections on machine learning and data-driven (epistemic) programming - A new focus on equity and inclusion in computer science education - Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education - A new set of chapters on the learning of programming, including design, pedagogy and misconceptions - A chapter on the way we use language in the computer science classroom. The book is structured to support the reader with chapter outlines, synopses and key points. Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice. The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition.