Register for our Love Data events on the left (or above on phones). Help us celebrate Love Data Week 2024 #lovedata24
February 12-16, 2024, marks the 9th annual international celebration of Love Data Week! This year the theme of Love Data Week is “My Kind of Data.” Data is personal. Join International Love Data Week February 12-16, 2024, to learn about data equity and inclusion, disciplinary communities, and creating a kinder world through data.
Asking Smarter Questions: How to be an Agent of Insight by 
All Data Are Local: Thinking Critically in a Data-driven Society by 
Calling Bullshit: The Art of Skepticism in a Data-Driven World by 
Data Activism and Social Change by 
Queer Data: Using Gender, Sex and Sexuality Data for Action by 
Democracy's Data: The Hidden Stories in the U.S. Census and How to Read Them by 
Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals by 
Thematic Mapping: 101 Inspiring Ways to Visualise Empirical Data by 
Persuading with Data: A Guide to Designing, Delivering, and Defending your Data by 
Research Justice: Methodologies for Social Change by 
Invisible Women: Data Bias in a World Designed for Men by 
Decolonizing Data: Unsettling Conversations about Social Research Methods by 
Privacy, Big Data, and the Public Good: Frameworks for Engagement by 
Humanizing Research : Decolonizing Qualitative Inquiry with Youth and Communities by 
What Kind of Researcher Are You? by 
Arabic Glitch: Technoculture, Data Bodies, and Archives by 
Data Borders: How Silicon Valley is Building an Industry Around Immigrants by 
Datapolis: Exploring the Footprint of Data on our Planet and Beyond by 
Everyday Adventures with Unruly Data by 
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by 
Your Data, Their Billions: Unraveling and Simplifying Big Tech by 
Geographies of Digital Exclusion: Data and Inequality by 
How We Became Our Data: a Genealogy of the Informational Person by 
The Data Gaze: Capitalism, Power and Perception by 
The Trouble with Big Data: How Datafication Displaces Cultural Practices by 
The Costs of Connection: How Data is Colonizing Human Life and Appropriating it for Capitalism by 
Data Love: the Seduction and Betrayal of Digital Technologies by 
Big Data Revolution: What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data Patterns by 
Automating Inequality by
A powerful investigative look at data-based discrimination and how technology affects civil and human rights and economic equity. The State of Indiana denies one million applications for healthcare, food stamps and cash benefits in three years--because a new computer system interprets any mistake as "failure to cooperate." In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems--rather than humans--control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.
Humanities Data Analysis: Case Studies with Python by 
The Age of Data: Embracing Algorithms in Art & Design by 
Citizen Science: Public Participation in Environmental Research by 
Databusting for Schools: How to Use and Interpret Education Data by 
Computing the News: Data Journalism and the Search for Objectivity by 
The Data Journalist: Getting the Story by 
Humanizing Big Data: Marketing at the Meeting of Data, Social Science and Consumer Insight by 
The K-12 Educator's Data Guidebook: Reimagining Practical Data Use in Schools by 
Leading Data-Informed Change in Schools by 
Link : How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World by 
Numbers and Nerves: Information, Emotion, and Meaning in a World of Data by 
Redlining Culture: A Data History of Racial Inequality and Postwar Fiction by 
Theater As Data: Computational Journeys into Theater Research by 
W. E. B. du Bois's Data Portraits: Visualizing Black America by 
Winning with Data: Transform Your Culture, Empower Your People, and Shape the Future by 
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