This is part two of a blogpost series reflecting on a workshop, held at FAccT conference 2020 in Barcelona, about machine learning and epistemic justice. If you are interested in the workshop concept and the theory behind it, read our first article here. This post […]
By Aviva de Groot, Danny Lämmerhirt, Phillip Lücking, Goda Klumbyte, Evelyn Wan This is the first in a series of blog posts on experiences gathered during the planning, execution and reflection of our workshop “Lost in Translation: An Interactive Workshop Mapping Interdisciplinary Translations for Epistemic […]
Any first meetup can be a make-up of emotions and expectations from the parties involved. Especially when the purpose is for research. Conducting research with intended users of Information Technology has over the years moved away from filling in forms and usability feedback. Users are […]
This post was originally published on Medium on 11 December 2019 and was written by Aviva de Groot, Danny Lämmerhirt, Evelyn Wan, Goda Klumbyte, Mara Paun, Phillip Lücking, and Shazade Jameson Introduction: The short of it The rapid deployment of complex computational, data-intense infrastructures profoundly […]
In September we – Goda, Loren and Claude – presented a paper at the Society for Social Studies of Science (4S) conference in New Orleans. We were (digitally) part of an amazing panel “Feminist Technoscience by Other Means: Reconfiguring Research Practices for World-Making Beyond the […]
In April we held the last Lab Meeting of the CF+ project, for which we decided to invite some of the people who have been continuously involved in debates around this project and became part of the CF+ network, to present their own strategies, practices […]
How to innovate smart homes with design and development stripped of stereotypes? Including gender dimension can help.
How feminist theoretical perspective, particularly situated knowledges and standpoint theory, can help tackle bias in algorithmic systems.
What is feminist data inside of social networks, algorithms, and big data? We invited artist and machine learning designer Caroline Sinders to talk about her own technopractice and her project “Feminist Data Set”.