Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D’Ignazio and Lauren Klein present a new way of thinking about data science and data ethics–one that is informed by intersectional feminist thought.
Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn’t, and about how those differentials of power can be challenged and changed.
This event will take place live on crowdcast, Charis’ virtual event platform, you do not need an app or any special gear, just register for the event and watch. Register via the ticket link. The event is free and open to all people, especially to those who have no income or low income right now, but we encourage and appreciate a solidarity donation in support of the work of Charis Circle, our programming non-profit. Donate via this link: www.chariscircle.org/donate Charis Circle’s mission is to foster sustainable feminist communities, work for social justice, and encourage the expression of diverse and marginalized voices. As always, if you enjoy the event we ask that you buy the book from Charis via the link below.
We will be archiving this event and adding closed captioning as soon as possible after airing so that it will be accessible to deaf and HOH people. If you have other accessibility needs or if you are someone who has skills in making digital events more accessible please don’t hesitate to reach out to email@example.com. We are actively learning the best practices for this technology and we welcome your feedback as we begin this new way of connecting across distances.
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