An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning.Fairness and Machine Learning introduces advanced undergraduate and graduate students to the intellectual foundations of this recently emergent field, drawing on a diverse range of disciplinary perspectives to identify the opportunities and hazards of automated decision-making. It surveys the risks in many applications of machine learning and pr...

Despite the swift spread of social network concepts and their applications and the rising use of network analysis in social science, there is no book that provides a thorough general introduction for the serious reader. Understanding Social Networks fills that gap by explaining the big ideas that underlie the social network phenomenon. Written for those interested in this fast moving area but who are not mathematically inclined, it covers fundamental concepts, then discusses netwo...

ARTIFICIAL INTELLIGENCE FOR BEGINNERS: Get a concise, informative overview of AI ethics and policy—and how it could impact our society.Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, membe...

Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important priv...

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, ana...

Here is one of the most fundamental questions in human life: How do we decide how we decide? We make such decisions all the time. If you trust your doctor, you might decide to follow a simple rule for medical decisions: Do whatever your doctor suggests. If you like someone a lot, and maybe love them, but are not sure whether you want to marry them, you might do this: Live with them first. Some of these strategies are wise. They prevent error. They improve your emotional well-being. Some of...

Social Network Theory and Educational Change offers a provocative and fascinating exploration of how social networks in schools can impede or facilitate the work of education reform.Drawing on the work of leading scholars, the book comprises a series of studies examining networks among teachers and school leaders, contrasting formal and informal organizational structures, and exploring the mechanisms by which ideas, information, and influence flow from per...

This book synthesizes a decade of research by the author into fundamental issues in organization design. The result is a novel micro-structural perspective on organizations, which aims to both expand and narrow current thinking. The new perspective takes an expansive view on the kinds of phenomena that can be studied in terms of organization design- such as cross-functional teams, strategic partnerships, buyer-supplier relations, alliance networks, mega-projects, post-merger integration, b...

We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields – Public Administration, Criminal Justice and Urban Governance – into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms.Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate...

Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analy...

Leading scholars in the field of social networks from diverse disciplines present the first systematic and comprehensive collection of current theories and empirical research on the informal connections that individuals have for support, help, and information from other people. Expanding on concepts originally formulated by Pierre Bourdieu and James Coleman, this seminal work will find an essential place with educators and students in the fields of social networks, rational choice theory, ...

Critical Data Studies has come of age as a vibrant, interdisciplinary field of study. Taking data as its primary analytical focus, the field theorises the nature of data; examines how data are produced, managed, governed and shared; investigates how they are used to make sense of the world and to perform practical action; and explores whose agenda data-driven systems serve.This book is the first comprehensive A-Z guide to the concepts and methods of Critical Data Studies, providing...