Events
Distinguished Lecture | Catherine D’Ignazio
Co-design, data feminism and counterdata science
In this talk I will give a first-person report from a large participatory-action-research-design project where we are using the principles of data feminism to co-design technology with data activists. The “we” in question is myself, Silvana Fumega, and Helena Suárez Val, and we work in collaboration and solidarity with activist groups producing data to challenge feminicide – fatal gender-related violence against women – across the Americas. As all practitioners know, practice is messy and rarely adheres cleanly to pleasing principles. Throughout the talk, I will highlight resonances and tensions between our design process and the principles of data feminism, showing how we tried to operationalize these principles in interactive digital tools and machine learning classifiers. But it’s not all heroic. I hope to surface my lingering questions to the community so that we may think together about the limitations of designing for justice in hostile political economies.
Speaker Bio
Catherine D’Ignazio is a scholar, artist/designer and hacker mama who focuses on feminist technology and data justice. She has run reproductive justice hackathons, designed global news recommendation systems, and created talking and tweeting water quality sculptures. With Rahul Bhargava, she built the platform Databasic.io, a suite of tools and activities to introduce newcomers to data science. Her 2020 book from MIT Press, Data Feminism, co-authored with Lauren Klein, charts a course for more ethical and empowering data science practices. Since 2019, she has co-organized Data Against Feminicide, a participatory action-research-design project, with Silvana Fumega and Helena Suárez Val. D’Ignazio is an Associate Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. She is also Director of the Data + Feminism Lab which uses data and computational methods to work towards gender and racial justice, particularly in relation to space and place.