Want to be community while you read the book? I'm running a free online book club this summer with Data Pop Alliance in English, Spanish and Portuguese.
A huge thanks to @laurenfklein bc this work draws extensively from data feminism. Thank you to Paola Ricaurte, @ethanz Stefania Milan, & Annita Lucchesi for their beautiful endorsements. And to Colectiva SJF for permission to use their phenomenal installation for the book cover. 11/12
Chapter 8 presents a more generalized and practical Toolkit for Restorative/Transformative Data Science that emerges from this work, geared towards journalists, urban planners, nonprofits, and activist/advocacy work with data. 10/12
In Chapter 7, I describe the #DataAgainstFeminicide team's experience co-designing technologies with data activists, e.g. using AI and machine learning to detect human rights violations. But we still have many critical questions about this work. 9/12
Chapters 3-6 draw from our team's in-depth interviews with 40+ feminicide data activist groups across the Americas. Their restorative/transformative data science process can be divided into 4 stages: (1) Resolving (2) Researching (3) Recording and (4) Refusing & Using data. 7/12
At each of these stages, the data epistemologies, emotional labor, and practices of memory and care employed by data activists challenge conventional wisdom around hegemonic data science. 8/12
Chapter 2 describes a case study in Puerto Rico by El Observatorio de Equidad de Género and concepts such as official data, missing data, and counterdata. It theorizes activists' work as "restorative/transformative data science", a concept that emerged from dialogue with activists themselves. 6/12
Chapter 1 covers a short history of the terms femicide, feminicide, #MMIWG2S, #SayHerName and other forms of fatal gender-related violence, and links them to longstanding efforts of community defense as well as literature on data activism. 5/12
The book argues for more 🦋inclusive and liberatory technological imaginaries🦋alternative visions of who AI and data are for, why we count & quantify, & what transformative potential is possible with technology (once we abandon Silicon Valley profiteering and extractivism). 3/12
In the Introduction, I describe how I came to the topic through the work of María Salguero in Mexico, how we started #DataAgainstFeminicide, and how I saw resonance between the principles of data feminism and grassroots data science on gender-related violence. 4/12
Counting Feminicide comes from my work with Helena Suárez Val, Silvana Fumega And Isadora Cruxen on #DataAgainstFeminicide. It documents the intellectual and emotional labor of data activists in the Americas & how their work challenges the hegemonic and extractivist logics of mainstream data science. 2/12