The Gender/Diversity in Informatics Systems research group at the University of Kassel cordially invites you to the upcoming lab meeting of the project “Reconfiguring computing through cyberfeminism and new materialism” (CF+).
During this meeting of the ongoing project “Reconfiguring computing through cyberfeminism and new materialism” (CF+) we will invite participants to explore what it means to establish a feminist technological praxis. An example of such praxis will be explored during a workshop “Feminist Data Set” with machine learning designer/user researcher, artist and digital anthropologist Caroline Sinders (https://carolinesinders.com/). In the past years she has been examining the intersections of natural language processing, artificial intelligence, abuse, online harassment, and politics in digital, conversational spaces. She is the founder of Convocation Design + Research, an agency focusing on the intersections of machine learning, user research, designing for public good, and solving difficult communication problems. As a designer and researcher, she has worked with Amnesty International, Intel, IBM Watson, the Wikimedia Foundation, and others.
The workshop „Feminist Data Set” will investigate varying methods of creating a feminist data set. What is feminist data inside of social networks, algorithms, and big data? A feminist data set queers the archive, the spreadsheet, and the data set. It moves beyond a white and male space, forcing the technology to reflect the community. A feminist data set acts as a means to combat bias and introduce the possibility of data collection as a feminist practice, aiming to produce a slice of data to intervene in larger civic and private networks. Exploring its potential to disrupt larger systems by generating new forms of agency, the session asks: can data collection itself function as an artwork? How can we create data to be an act of protest against oppressive algorithms?
For more information please see here: https://tinyurl.com/y9zrn9zp
Link to Facebook event: https://bit.ly/2LsXNdC