Cecilia Aragon

Cecilia Aragon is Professor in the Department of Human Centered Design and Engineering at the University of Washington.

  • Human-Centered Data Science

    An Introduction

    Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller, and Gina Neff

    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.

    • Paperback $35.00
  • Writers in the Secret Garden

    Writers in the Secret Garden

    Fanfiction, Youth, and New Forms of Mentoring

    Cecilia Aragon and Katie Davis

    An in-depth examination of the novel ways young people support and learn from each other though participation in online fanfiction communities.

    Over the past twenty years, amateur fanfiction writers have published an astonishing amount of fiction in online repositories. More than 1.5 million enthusiastic fanfiction writers—primarily young people in their teens and twenties—have contributed nearly seven million stories and more than 176 million reviews to a single online site, Fanfiction.net. In this book, Cecilia Aragon and Katie Davis provide an in-depth examination of fanfiction writers and fanfiction repositories, finding that these sites are not shallow agglomerations and regurgitations of pop culture but rather online spaces for sophisticated and informal learning. Through their participation in online fanfiction communities, young people find ways to support and learn from one another.

    Aragon and Davis term this novel system of interactive advice and instruction distributed mentoring, and describe its seven attributes, each of which is supported by an aspect of networked technologies: aggregation, accretion, acceleration, abundance, availability, asynchronicity, and affect. Employing an innovative combination of qualitative and quantitative analyses, they provide an in-depth ethnography, reporting on a nine-month study of three fanfiction sites, and offer a quantitative analysis of lexical diversity in the 61.5 billion words on the Fanfiction.net site. Going beyond fandom, Aragon and Davis consider how distributed mentoring could improve not only other online learning platforms but also formal writing instruction in schools.

    • Paperback $25.00