BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MIT Graduate Program in Comparative Media Studies - ECPv5.16.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:MIT Graduate Program in Comparative Media Studies
X-ORIGINAL-URL:https://cms.mit.edu
X-WR-CALDESC:Events for MIT Graduate Program in Comparative Media Studies
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200416T170000
DTEND;TZID=America/New_York:20200416T183000
DTSTAMP:20260412T033356
CREATED:20200204T182438Z
LAST-MODIFIED:20200518T194934Z
UID:34533-1587056400-1587061800@cms.mit.edu
SUMMARY:Catherine D’Ignazio and Lauren F. Klein\, “Data Feminism”
DESCRIPTION:Catherine D’Ignazio ( Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT) and Lauren Klein (Associate Professor in the departments of English and Quantitative Theory & Methods at Emory University)\n[Limited to CMS/W community.] \nAs data are increasingly mobilized in the service of global corporations\, governments\, and elite institutions\, their unequal conditions of production\, their inequitable impacts\, and their asymmetrical silences become increasingly more apparent. It is precisely this power that makes it worth asking: “Data science by whom? For whom? In whose interest? Informed by whose values?” And most importantly\, “How do we begin to imagine alternatives for data’s collection\, analysis\, and communication?” These are some of the questions that emerge from what Lauren Klein and Catherine D’Ignazio call Data Feminism (MIT Press 2020). Data feminism is a way of thinking about data science and its products that is informed by the past several decades of intersectional feminist activism and critical thought\, emerging anti-oppression design frameworks\, and scholarship from the fields of Critical Data Studies\, Science & Technology Studies\, Geography/GIS\, Digital Humanities and Human Computer Interaction. An intersectional feminist lens prompts questions about how\, for instance\, challenges to the male/female binary can also help challenge other binary (and empirically wrong) classification systems. It encourages us to ask how the concept of invisible labor can help to expose the gendered\, racialized\, and colonial forms of labor associated with data work. And it demonstrates why the data never\, ever\, speak for themselves. In this talk\, D’Ignazio will introduce seven principles for data feminist work: examining and challenging power\, rethinking binaries and hierarchies\, considering context\, embracing pluralism\, making labor visible\, and elevating emotion. The goal of this work is to transform scholarship into action – to operationalize feminism in order to imagine more ethical and more equitable data practices. \nCatherine D’Ignazio is an Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT\, and director of the Data + Feminism Lab. More information about Catherine can be found on her website\, kanarinka.com. \nLauren F. Klein is an associate professor in the departments of English and Quantitative Theory & Methods at Emory University\, where she also directs the Digital Humanities Lab. More information about Lauren can be found on her website\, lklein.com.
URL:https://cms.mit.edu/event/data-feminism-catherine-dignazio-lauren-klein/
CATEGORIES:Colloquium
ATTACH;FMTTYPE=image/jpeg:https://cms.mit.edu/wp/wp-content/uploads/2020/02/Catherine-DIgnazio-and-Lauren-Klein.jpg
END:VEVENT
END:VCALENDAR