“Data feminism insists that the most complete knowledge comes from synthesizing multiple perspectives, with priority given to local, Indigenous, and experiential ways of knowing.”<\/p>\n\n\n\n
Key Terms<\/strong><\/p>\n\n\n\n Occlusion<\/em> – a characteristic of data visualization that refers to the “problem” that occurs when some marks\/points within a visualization obscure other important features (i.e. data points on a map obscuring the geography of the city itself)<\/p>\n\n\n\n Data settings<\/em> – the technical and the human processes that affect what information is captured in the data collection process and how the data are then structured<\/p>\n\n\n\n “Ninjas<\/em>” – a type of “stranger in the dataset” who is classified by executing complicated, expert moves on datasets<\/p>\n\n\n\n “Unicorns” <\/em>– a type of “stranger in the dataset” who is classified by being rare and having special skills that bring them to the dataset<\/p>\n\n\n\n “Wizards<\/em>” – a type of “stranger in the dataset” who is classified by doing “magic” on the dataset to make it look quite different<\/p>\n\n\n\n “Rock stars<\/em> “- a type of “stranger in the dataset” who is classified by outperforming and\/or dominating everyone else working with the dataset<\/p>\n\n\n\n “Janitors<\/em>” – a type of “stranger in the dataset” who is classified by cleaning up “messy data;” this term has been dropped when these terms for “strangers in the dataset” have been used in broader contexts by companies like Amazon<\/p>\n\n\n\n Negative externality<\/em> – refers to an inadvertent third-party consequence that arises when working with open data, API’s, etc. <\/p>\n\n\n\n Epistemic violence<\/em> – harm that dominant groups (like colonial powers) wreak by privileging their ways of knowing over local and Indigenous ways<\/p>\n\n\n\n Co-liberation<\/em> – an end state in which people from dominant groups and minoritized groups work together to free themselves from oppressive systems<\/p>\n\n\n\n Data murals<\/em> – large-scale infographics that are both designed by and tell stories about the people who live and work in those spaces<\/p>\n<\/div><\/div>\n\n\n\n