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Panel: Responsible Data Science in the Fight Against COVID-19 - #370

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Bridging Science and Society During COVID-19

This chapter explores the interplay between social science research and public involvement during the COVID-19 crisis, emphasizing the necessity for collaboration between scientists and citizens. It highlights the importance of addressing data bias, ensuring data quality, and fostering curiosity among non-experts. Additionally, the chapter critiques predictive modeling in epidemiology, urging rigorous evaluation and transparency in scientific communication.

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