This article explores the ethical and sustainable practices in data science, emphasizing its responsibility in the context of social work and analytics. It examines how data science can be applied to improve social services and the potential implications for social impact. The authors discuss frameworks that guide responsible data science practices and explore challenges such as data access, governance, and accountability.
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