Cecilia Aragon

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.

Fanfiction, Youth, and New Forms of Mentoring

Writers in the Secret Garden

Gina Neff

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

The daughter of a Chilean father and a Filipina mother, Cecilia Rodriguez Aragon grew up as a shy, timid child in a small midwestern town during the 1960s. Targeted by school bullies and dismissed by many of her teachers, she worried that people would find out the truth: that she was INTF. Incompetent. Nerd. Terrified. Failure. This feeling stayed with her well into her twenties when she was told that “girls can’t do science” or “women just don’t know how to handle machines.” Yet in the span of just six years, Cecilia became the first Latina pilot to secure a place on the United States Unlimited Aerobatic Team and earn the right to represent her country at the Olympics of aviation, the World Aerobatic Championships. How did she do it? Using mathematical techniques to overcome her fear, Cecilia performed at air shows in front of millions of people. She jumped out of airplanes and taught others how to fly. She learned how to fund-raise and earn money to compete at the world level. She worked as a test pilot and contributed to the design of experimental airplanes, crafting curves of metal and fabric that shaped air to lift inanimate objects high above the earth. And best of all, she surprised everyone by overcoming the prejudices people held about her because of her race and her gender. Flying Free is the story of how Cecilia Aragon broke free from expectations and rose above her own limits by combining her passion for flying with math and logic in unexpected ways. You don’t have to be a math whiz or a science geek to learn from her story. You just have to want to soar.

My Victory over Fear to Become the First Latina Pilot on the US Aerobatic Team

Flying Free

Cecilia Aragon

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