interdisciplinary voices in critical computing
Based on their commitment to diversity, equity and inclusion in computing, the Association of Computing Machinery has put forward a list of considerations to forming diverse teams. This list includes inherent characteristics such as race and ethnicity, gender identity and disability, as well as acquired […]
Critical Tools for Machine Learning or CritML is a project that brings together critical intersectional feminist theory and machine learning systems design. The goal of the project is to provide ways to work with critical theoretical concepts that are rooted in intersectional feminist, anti-racist, post/de-colonial […]
In recent decades, new materialist thought has emerged as a transversal field of inquiry that successfully brings together and constructs hybrid spaces between the social sciences & the humanities and the natural & technical sciences & engineering. Within those spaces, engagement with the concerns around […]
This is part three of a blog post 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 as well as what is a […]
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 […]
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 […]