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X-WR-CALDESC:Events for Digital Democracies Institute
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DTSTART;TZID=UTC:20211215T111500
DTEND;TZID=UTC:20211215T123000
DTSTAMP:20260608T012546
CREATED:20211208T082119Z
LAST-MODIFIED:20211208T082119Z
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SUMMARY:Discriminating Data with Wendy Chun and Hito Steyerl
DESCRIPTION:In her book ‘Discriminating Data‘ (2021)\, Wendy Chun reveals how polarization is a goal — not an error — within big data and machine learning. These methods\, she argues\, encode segregation\, eugenics\, and identity politics through their default assumptions and conditions. Hito Steyerl and Wendy Chun will discuss how can people release themselves from the vice-like grip of discriminatory data and consider alternative algorithms\, defaults\, and interdisciplinary coalitions in order to desegregate networks. \nWendy Hui Kyong Chun is the Canada 150 Research Chair in New Media at Simon Fraser University\, and leads the Digital Democracies Institute which was launched in 2019. She studied Systems Design Engineering and English Literature and is author of Control and Freedom (2006)\, Programmed Visions (2011)\, and Updating to Remain the Same (2016). \nHito Steyerl works as a filmmaker\, philosopher\, and cultural critic. Her work takes the form of essays\, lectures\, installations\, video\, and photography. She is professor for experimental film and video and the co-founder of the Research Center for Proxy Politics at the Berlin University of the Arts. \nIn English \nOrganized by: Stanford-Leuphana Winter Academy on Humanities and Media and the Centre for Digital Cultures of Leuphana University Lüneburg in cooperation with the ICI Berlin. \nHow to attend: Video-meeting with the possibility of audiovisual participation (please register\, using this form). Public livestream on this page with the possibility to ask questions via chat (no registration required).
URL:https://digitaldemocracies.org/calendar/discriminating-data-with-wendy-chun-and-hito-steyerl/
LOCATION:Online
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BEGIN:VEVENT
DTSTART;TZID=UTC:20211215T123000
DTEND;TZID=UTC:20211215T133000
DTSTAMP:20260608T012546
CREATED:20211204T071655Z
LAST-MODIFIED:20211204T071800Z
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SUMMARY:Catherine D'Ignazio and Lauren F. Klein present at DDI
DESCRIPTION:What does feminist data science look like? \nWhat is feminist data science? How is feminist thinking being incorporated into data-driven work? And how are scholars in the humanities and social sciences\, in particular\, bringing together data science and feminist theory in their research? Drawing from our recent book\, Data Feminism (MIT Press\, 2020)\, we will present a set of principles for doing data science that are informed by the past several decades of intersectional feminist activism and critical thought. In order to illustrate these principles\, as well as some of the ways that scholars and designers have begun to put them into action\, we will discuss a range of recent research projects including several of our own: 1) A participatory design project about feminicide that uses machine learning to reduce the labor of feminist data activists 2) a thematic analysis of a large corpus of nineteenth-century newspapers that reveals the invisible labor of women newspaper editors; and 3) the development of a model of lexical semantic change that\, when combined with network analysis\, tells a new story about Black activism in the nineteenth-century United States. Taken together\, these examples demonstrate how feminist thinking can be operationalized into more ethical\, more intentional\, and more capacious data practices\, in the digital humanities\, computational social science\, human-computer interaction and beyond. \nCatherine D’Ignazio is Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. \nLauren F. Klein is Associate Professor of English and Quantitative Theory and Methods at Emory University.
URL:https://digitaldemocracies.org/calendar/catherine-dignazio-and-lauren-f-klein-present-at-ddi/
LOCATION:Online
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