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Yeshimabeit Milner on Abolish Big Data and Data 4 Black Lives

February 10, 2021 @ 7:00 pm - 8:30 pm EST

Yeshimabeit Milner is the Founder & Executive Director of Data for Black Lives. She has worked since she was 17 behind the scenes as a movement builder, technologist and data scientist on a number of campaigns. She started Data for Black Lives because for too long she straddled the worlds of data and organizing and was determined to break down the silos to harness the power of data to make change in the lives of Black people. In two years, Data for Black Lives has raised over $3 million, hosted two sold out conferences at the MIT Media Lab and has changed the conversation around big data & technology across the US and globally.
As the founder of Data for Black Lives, her work has received much acclaim. Yeshimabeit is an Echoing Green Black Male Achievement Fellow, an Ashoka Fellow and joins the founders of Black Lives Matter and Occupy Wall Street in the distinguished inaugural class of Roddenberry Foundation Fellows. In 2020, Yeshimabeit was honored as a Forbes 30 under 30 social entrepreneur.
This event is part of the 2nd Season of the Feminist and Accessible Publishing and Communications Technologies Speaker and Workshop Series (https://www.feministandaccessiblepublishingandtechnology.com), organized by Dr. Alex Ketchum.
This series was made possible thanks to our sponsors: SSHRC (and the Initiative for Digital Citizen Research), the Institute for Gender, Sexuality, and Feminist Studies (IGSF), Milieux, Initiative for Indigenous Futures, Algorithmic Media Observatory, MILA, Cinema Politics, McGill’s Department of History and Classical Studies, Black Feminist Futures Working Group, the Sustainability Projects Fund, Moving Image Research Laboratory, The McGill Writing Centre, MUTEK IMG, the Intersectionality Research Hub, and Machine Agencies.
There is no fee required to attend this event. We will provide captions. The event will be recorded and the video will be made available on our website within a few days of the event.

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