Career Danah boyd
visualisation 1 of boyd s lectures willow brugh
while in graduate school, involved three-year ethnographic project funded macarthur foundation , led mimi ito; project examined youths use of technologies through interviews, focus groups, observations, , document analysis. publications included article in macarthur foundation series on digital learning, identity volume called why youth (heart) social network sites: role of networked publics in teenage social life. article focuses on social networks implications youth identity. project culminated co-authored book hanging out, messing around, , geeking out: kids living , learning new media.
she published untraditional research on youth using facebook , myspace in 2007. demonstrated young users of facebook white , middle-to-upper class, while myspace users tended lower-class black teenagers. work translated , relayed major media.in addition blogging on own site, addresses issues of youth , technology use on dmlcentral blog. boyd has written academic papers , op-ed pieces on online culture.
her career fellow @ harvard s berkman center started in 2007. in january 2009, boyd joined microsoft research new england, in cambridge, massachusetts, social media researcher.
in 2013, boyd founded data & society research institute address social, technical, ethical, legal , policy issues emerging data-centric technological development.
in 2014, boyd published book s complicated: social lives of networked teens @ yale university press. in 2015, henry jenkins, mimi ito, , boyd published participatory culture in networked era @ polity press. she interviewed in 2015 web documentary internet privacy, not track.
currently, boyd president of data & society, principal researcher @ microsoft research , visiting professor @ new york university. serves on board of directors of crisis text line (since 2012), trustee of national museum of american indian, on board of social science research council, , on advisory board of electronic privacy information center (epic). boyd focused on research questions related big data , ai, bias , manipulation of data, , how technology shapes inequality.
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