Join us for a Love Data Week presentation by Xiao-Li Meng, PhD, editor-in-chief of the Harvard Data Science Review and professor of statistics at Harvard University.
What is data science (DS)? Some declare DS=CS (Computer Science), some consider DS=S (Statistics), and yet some even think DS=BS (but not Bayesian Statistics). The truth is that DS is so broad that it is easier to understand it through its (set) complement. From that angle, DS is not just about deep learning, or prediction, or data analysis. It is not a STEM discipline. It is not even a single discipline.
This talk reports Xiao-Li Meng's experience as the founding editor-in-chief of Harvard Data Science Review (HDSR), and as a statistician, in exploring the landscape of DS. He will first demonstrate its vastness by using articles in HDSR, which address questions ranging from “How does AI impact my life?” to “Who wrote In My Life?”. He will then demonstrate how statistical thinking helps to reveal a big data paradox, which provides an explanation of our collective failure in predicting the 2016 U.S. presidential election, as well as an insight into the 2020 election.
Registration is encouraged but not required.