July 10, 2018

Tech Ethnography, Data and Social Justice w/ Dr. Tricia Wang

Tech Ethnography, Data and Social Justice w/ Dr. Tricia Wang
The player is loading ...
Tech Ethnography, Data and Social Justice w/ Dr. Tricia Wang
Apple Podcasts podcast player iconSpotify podcast player iconYouTube podcast player iconAmazon Music podcast player iconAudible podcast player iconSpreaker podcast player iconPodchaser podcast player iconOvercast podcast player iconCastro podcast player iconCastbox podcast player iconPodcast Addict podcast player iconPocketCasts podcast player iconRSS Feed podcast player iconGoodpods podcast player iconPodverse podcast player iconCastamatic podcast player iconPodyssey podcast player iconPlayerFM podcast player iconiHeartRadio podcast player icon
Apple Podcasts podcast player iconSpotify podcast player iconYouTube podcast player iconAmazon Music podcast player iconAudible podcast player iconSpreaker podcast player iconPodchaser podcast player iconOvercast podcast player iconCastro podcast player iconCastbox podcast player iconPodcast Addict podcast player iconPocketCasts podcast player iconRSS Feed podcast player iconGoodpods podcast player iconPodverse podcast player iconCastamatic podcast player iconPodyssey podcast player iconPlayerFM podcast player iconiHeartRadio podcast player icon

Dr. Tricia Wang sees her work consulting as sitting at the crossroads of data and social justice. As a global tech ethnographer, Dr. Wang is obsessed with how technology and humans shape each other. In her own words, she wants to know, “How do the tools we use enable us to do more of what humans do, like socializing, emoting, and collaborating? And how do human perspectives shape the technology we build and how we use it?” 

Said differently, Dr. Tricia Wang’s expertise inhabits a gray space between industry and the academy. A space where many social scientists do not find easy comfort. Yet, Dr. Wang’s very candid enthusiasm is enough to draw in even the most ardent skeptics. In her own words, Dr. Wang has “always been between worlds” seeing the best in both. Though academics tend to value known discovery methods, and excel, they are less likely to engineer new prototypes. 

--- Send in a voice message: https://anchor.fm/thisanthrolife/messageSupport this podcast: https://anchor.fm/thisanthrolife/support