{"id":3539,"date":"2020-08-21T13:23:24","date_gmt":"2020-08-21T17:23:24","guid":{"rendered":"https:\/\/gpsites.co\/coach\/?page_id=3539"},"modified":"2025-06-10T20:26:41","modified_gmt":"2025-06-10T20:26:41","slug":"research","status":"publish","type":"page","link":"https:\/\/mamm.cfdh.ca\/en\/research\/","title":{"rendered":"Research"},"content":{"rendered":"
\n
\n
\n\n

Our Research Process and Outcomes <\/h1>\n\n\n\n
\n

In Data Feminism<\/em>, D\u2019Ignazio and Klein register as core principles data that data feminism \u201cteaches us to value multiple forms of knowledge, including the knowledge that comes from people as living, feeling bodies in the world<\/mark>\u201d and that \u201cthe work of data science, like all work in the world, is the work of many hands. Data feminism makes this labor visible so that it can be recognized and valued<\/mark>.\u201d <\/p>\nTwo key questions that emerge from these principles in the MAMM Project:
How can close reading proceed collaboratively and be mapped in a digital environment? In doing this work, how can a team of researchers articulate a feminist methodology for data collection?<\/strong><\/cite><\/blockquote>\n\n<\/div>\n<\/div>\n<\/div>\n\n

\n
<\/div>\n\n
\n\n

<\/path> <\/svg><\/span>Methods<\/span><\/h2>\n\n\n\n

Data Collection Priorities:<\/h3>\n\n\n\n