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Lauren Klein

Winship Distinguished Research Professor, Emory University
Lauren Klein is Winship Distinguished Research Professor and Associate Professor in the departments of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab.
Atlanta, GAwww.lklein.com0000-0002-1511-0910laurenfkleinlaurenfkleinXc9Sco0AAAAJ&hl=en
All Pubs (30)Attributed Pubs (30)
in Community MIT Press Open

Code of Conduct

by Catherine D'Ignazio and Lauren Klein
Published: Oct 30, 2018
in Community MIT Press Open

Our Values and Our Metrics for Achieving Them

by Catherine D'Ignazio and Lauren Klein
Published: Oct 30, 2018
in Community MIT Press Open

About Us

by Catherine D'Ignazio and Lauren Klein
Published: Oct 17, 2018
in Community MIT Press Open

Acknowledgments

by Catherine D'Ignazio and Lauren Klein
Published: Oct 20, 2018
in Community MIT Press Open

Introduction

by Catherine D'Ignazio and Lauren Klein
Published: Nov 06, 2018
Intersectional feminism isn't just about women nor even just about gender. Feminism is about power – who has it and who doesn’t. And in a world in which data is power, and that power is wielded unequally, data feminism can help us understand how it can be challenged and changed.
in Community MIT Press Open

Chapter One: Bring Back the Bodies

by Catherine D'Ignazio and Lauren Klein
Published: Nov 01, 2018
Why do data science and visualization need feminism? Because bodies are missing from the data we collect, from the decisions made about their analysis and display, and from the field of data science as a whole. Bringing back the bodies is how we can right this power imbalance.
in Community MIT Press Open

Chapter Two: On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints

by Catherine D'Ignazio and Lauren Klein
Published: Nov 01, 2018
Sociologist Patricia Hill Collins describes an ideal knowledge situation as one in which "neither ethics nor emotions are subordinated to reason." So why has emotion been so systematically excluded from data visualization? What happens when we bring back emotion and embodiment?
in Community MIT Press Open

Chapter Three: “What Gets Counted Counts”

by Catherine D'Ignazio and Lauren Klein
Published: Nov 05, 2018
Feminists have spent a lot of time thinking about categories, since “male” and “female” are binary categories, and limited categories too. How we count matters as much as what we count. But we don't always count-- or account for-- what is most important to the questions at hand.
in Community MIT Press Open

Chapter Four: Unicorns, Janitors, Ninjas, Wizards, and Rock Stars

by Catherine D'Ignazio and Lauren Klein
Published: Nov 05, 2018
Unicorns, wizards, ninjas, rock stars and janitors all have something in common: they all work alone. But what might be gained if we understood data work not as a solitary undertaking, but as one that embraced multiple voices and forms of expertise at all phases of the process?
in Community MIT Press Open

Chapter Five: The Numbers Don’t Speak for Themselves

by Catherine D'Ignazio and Lauren Klein
Published: Nov 05, 2018
Do numbers ever speak for themselves? The short answer: no. The longer answer: no. In this chapter, we explain why context and theory matter deeply for the datasets that we employ in our work, the questions we ask about them, and the methods we use to arrive at our answers.
in Community MIT Press Open

Chapter Six: Show Your Work

by Catherine D'Ignazio and Lauren Klein
Published: Nov 05, 2018
The products of data science are the work of many hands. Unfortunately, though, we tend not to credit the many hands who perform this work. Sometimes, it's because we can't see the people who performed it, but other times, it's because the work itself is invisible to the eye.
in Community MIT Press Open

Chapter Seven: The Power Chapter

by Catherine D'Ignazio and Lauren Klein
Published: Nov 01, 2018
Examining how power is wielded through data means participating in projects that wield it back. The projects we discuss in this chapter deal openly and explicitly with questions about power, and name the structural forces like sexism and racism that lead to power imbalances.
in Community MIT Press Open

Chapter Eight: Teach Data Like an Intersectional Feminist!

by Catherine D'Ignazio and Lauren Klein
Published: Nov 05, 2018
Much of current data science education functions as a "Man Factory", focused on reproducing data work that is abstract, individual, & led by elite men. But what if we imagined teaching data as a place to start creating the connected, collective, caring world that we want to see?
in Community MIT Press Open

Conclusion: Now Let’s Multiply

by Catherine D'Ignazio and Lauren Klein
Published: Nov 05, 2018
A feminist approach to data science, to visualization, or to anything else in the world, cannot account for all perspectives on inequality. Here we point to some additional bodies of work that can help inform our understanding, action and activism around power and data.
in Community MIT Case Studies in Social and Ethical Responsibilities of Computing

Who Collects the Data? A Tale of Three Maps

by Catherine D'Ignazio and Lauren Klein
N
Published: Feb 05, 2021
Who makes maps and who gets mapped? Using a comparative reading of three maps, this case study introduces the idea that data may be useful, but they are not neutral. Rather, they represent the interests and goals of the groups and institutions that are doing the data ...
in Community Commonplace

Integrating pluralism

by Catherine D'Ignazio, Lauren Klein, and Sarah Gulliford (Kearns)
NP
Published: Oct 04, 2021
🎧 The authors of Data Feminism reunite to discuss the joys and benefits of community review.
in Community Feminist AI

CHAPTER 2: Introduction to Data Feminism

by Catherine D'Ignazio and Lauren Klein
Published: Sep 12, 2021
Many of the techniques used by Artificial Intelligence systems - from official statistics to health records to online metadata to sensors and satellites - rely on training via vast quantities of data.
in Community Harvard Data Science Review

What Data Visualization Reveals: Elizabeth Palmer Peabody and the Work of Knowledge Production

by Lauren Klein
Published: Apr 28, 2022
in Community Data Feminism

Introducción: por qué la ciencia de datos necesita feminismo

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Ivana Feldfeber,Sofía García, Gina Ballaben, Giselle Arena y Mariángela Petrizzo. Revisión: Helena Suárez Val.Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
Introduction: Why Data Science Needs Feminism
in Community Data Feminism

4 : : "Lo que se cuenta, cuenta"

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Ivana Feldfeber,Sofía García, Gina Ballaben y Mariángela Petrizzo. Revisión: Helena Suárez Val. Con la ayuda deDiana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
4. “What Gets Counted Counts”
in Community Data Feminism

1 : : El Capítulo del Poder

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Ivana Feldfeber,Sofía García, Gina Ballaben, Giselle Arena y Mariángela Petrizzo. Revisión: Helena Suárez Val.Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
1. The Power Chapter
in Community Data Feminism

3 : : Sobre puntos de vista racionales, científicos y objetivos desde puntos de vista míticos, imaginarios e imposibles

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Mailén García. Revisión: Helena Suárez Val. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
3. On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints
in Community Data Feminism

2 : : Recopilar, analizar, imaginar, enseñar

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Mailén García.Revisión: Helena Suárez Val. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, yPatricia Maria Garcia Iruegas)
Connections
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2. Collect, Analyze, Imagine, Teach
in Community Data Feminism

5 : : Unicornios, conserjes, ninjas, magos y estrellas de rock

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Mailén García. Revisión: Helena Suárez Val. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
5. Unicorns, Janitors, Ninjas, Wizards, and Rock Stars
in Community Data Feminism

6 : : Los Números No Hablan por sí mismos

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Sofía García. Revisión: Helena Suárez Val y Mailén García. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
6. The Numbers Don’t Speak for Themselves
in Community Data Feminism

7 : : Muestra tu trabajo

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Gina Ballaben. Revisión: Helena Suárez Val y Mailén García. Con la ayuda de Diana Duarte Salinas, Ana AmeliaLetelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
7. Show Your Work
in Community Data Feminism

Conclusión: ahora, multipliquemos

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Gina Ballaben. Revisión: Helena Suárez Val y Mailén García. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
Conclusion: Now Let’s Multiply
in Community Data Feminism

Nuestros valores y nuestras métricas para hacernos responsables

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Sofía García. Revisión: Helena Suárez Val y Mailén García. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
Our Values and Our Metrics for Holding Ourselves Accountable
in Community Data Feminism

Reconocimiento a organizaciones comunitarias

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: SofíaGarcía. Revisión: Helena Suárez Val y Mailén García. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
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Acknowledgment of Community Organizations
in Community Data Feminism

Auditando Data Feminism, por Isabel Carter

by Catherine D'Ignazio and Lauren Klein
Published: Apr 23, 2023
DataGénero (Coordinación: Mailén García. Traductoras: Sofía García. Revisión: Helena Suárez Val y Mailén García. Con la ayuda de Diana Duarte Salinas, Ana Amelia Letelier, y Patricia Maria Garcia Iruegas)
Connections
Versions (1): 
Auditing Data Feminism, by Isabel Carter
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