Gina Neff

Dawn Nafus

Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. In this book, Gina Neff and Dawn Nafus describe what it means when people turn their everyday experience into data.

Self-Tracking

Cecilia Aragon

Shion Guha

Marina Kogan

Michael Muller

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, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.

An Introduction

Human-Centered Data Science

What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking. People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.

John Amman

Tris Carpenter

The dot-com boom of the late 1990s marked the coming of age of the much-heralded New Economy, an economic, technological, and social transformation that was decades in the making. A highly mobile, and in many cases highly compensated, workforce faces a multitude of new risks: Jobs are no longer secure nor insulated from global competition, employer-provided health benefits are drying up, and retirement planning is almost entirely the responsibility of employees themselves. This timely book examines the challenges facing high-tech workers and other professionals and the relevance of these struggles for the future of the economy. Written by leading experts, Surviving the New Economy shows how people working in technology industries are addressing their concerns via both traditional collective bargaining and through innovative actions. Using case studies from the United States and abroad, the authors in this collection examine how highly skilled workers are surviving in a global economy in which the rules have changed-and how they are reshaping their workplaces in the process.

Gina Neff

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