Data Science Diversity
Xiao-Li shares insights on the diverse board of experts involved in their data science initiatives, highlighting the blend of perspectives from philosophers to quantum physicists. The popularity of their special issue on the 2020 election stems from the urgency and relevance of accurate predictions, especially following the controversial 2016 election. By publishing predictions just before the election, they aimed to ensure accountability and foster discussions on data quality and its implications.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science — with Xiao-Li Meng
Related Questions
Why do polls often miss their predictions, as discussed in the episode The Ultimate Guide to Risky Decisions: Risky Business with Maria Konnikova and Nate Silver: Maria Konnikova and Nate Silver and the clip Polling Insights?
Why do polls often miss their predictions, as discussed in the episode The Ultimate Guide to Risky Decisions: Risky Business with Maria Konnikova and Nate Silver and the clip Polling Insights?