Supporting Data Equity in the Social Sector: Building Capacity Beyond Technical Expertise
A recent paper published in the Harvard Data Science Review highlights the growing need to rethink how data is used in the social sector, arguing that technical skills alone are insufficient to ensure fair, ethical, and effective outcomes. Instead, the authors emphasize that achieving data equity requires a broader transformation in how organizations understand, teach, and practice data use. The paper, titled “Learning Models and Modalities to Build Data Equity Competencies,” advances a key idea: everyone is a data person, regardless of job title, discipline, or technical background. This framing challenges traditional assumptions that data work is confined to analysts...
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