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Silos, Chauvinism, and Insight: A discussion with Christian Madsbjerg

Rosenfeld Review Podcast

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Integrating Data Science and Social Science: Challenges and Opportunities

This chapter explores the hurdles organizations face in merging data science and social science, focusing on language barriers, tool set disparities, and biases hindering alignment. It critiques the lack of collaboration between different intellectual backgrounds, contrasting statisticians' experimental focus with academic ideology-driven critique. The importance of scientific thinking, open-mindedness, and long-term decision-making, grounded in diverse research backgrounds, is emphasized for organizational insight-driven success.

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