How Not To Use Data Like a Racist – Oct 23
Posted by Stanford Social Innovation Review on September 29, 2020
The We All Count Data Equity Framework remains one of the few actionable frameworks for making immediate changes in the way you use data as a team.
Participants learn a seven-step systemic strategic process for embedding equity into data products. This includes tools and checklists for revealing bias in design, methodology, monitoring, and impact evaluation.
Participants gain an innovative and practical toolkit that allows funders, program managers, and foundations to actively understand and correct issues of hidden bias in their datasets and reports.
Participants complete this session with a roadmap for establishing a system that guides their teams towards robust quantitative evaluation plans that are free from racism, sexism, and other harmful social bias that is accidentally present is many current evaluation plans and other data projects.
The course is taught over two half-day sessions or one full-day session. Click on link below to see options.
Learn more and register: https://weallcount.com/workshop-landing-page/
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