I had the privilege to work with Nick Horton and an amazing Planning Committee on the recent Workshop exploring the Foundations of Data Science for Students in Grades K-12, funded by the Valhalla Foundation and organized by the National Academies for Science, Engineering, and Medicine. The event was held Sept 13-14 in Washington, D. C. and online. You can find the video playlist and meeting materials here. Some important themes that were discussed throughout the event was the importance of exploring context, bias, and the social narratives built into data; investigating what sorts of approaches to data ought to be integrated across the curriculum vs what is deserving of its own course or deeper trajectory of study; and how can the emerging field of Data Science learn from the mistakes of its disciplinary predecessors (and from scholarship exploring education more generally), in order to ensure a coherent, inclusive, and ethical data science education.
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