37 min
Diving into the Harvard Data Science Review: An interview with the Editor-in-Chief, Prof. Xiao-Li Meng Behind the Curves
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- Technology
As citizens of the digital age, it is no secret that we are surrounded by data. From predicting the results of the Oscars to modelling COVID-19 re-opening frameworks, we see the relevancy of data science in just about, well, everything. But, wait a minute — what is data science, and what is data? These seemingly-simple questions have sparked a lot of discussion, and they're questions that today's guest, Xiao-Li Meng, Professor of Statistics at Harvard University, has thought a lot about.
As a researcher and professional statistician, Prof. Xiao-Li Meng has made many significant contributions to the field of data science, one of the most notable being founding the Harvard Data Science Review (HDSR). Gleaning inspiration from the Harvard Business Review and Harvard Law Review, Xiao-Li created the HDSR with the goal of it being three things: a popular magazine, a leading education publication, and a premier research journal. Having achieved those aspirations with much success, Xiao-Li speaks to his philosophy behind publishing articles in the HDSR that can be enjoyed by everyone, no matter if you're a professional data scientist, philosopher, quantum physicist, or just someone with an interest in data. In this episode, Xiao-Li shares stories from his academic background and walks us through his training as a pure mathematician while debunking common misconceptions about data science.
Relevant links:
Harvard Data Science Review (Specific columns mentioned: Minding the Future, Recreations in Randomness)
Professor Meng's Personal Academic Site
As citizens of the digital age, it is no secret that we are surrounded by data. From predicting the results of the Oscars to modelling COVID-19 re-opening frameworks, we see the relevancy of data science in just about, well, everything. But, wait a minute — what is data science, and what is data? These seemingly-simple questions have sparked a lot of discussion, and they're questions that today's guest, Xiao-Li Meng, Professor of Statistics at Harvard University, has thought a lot about.
As a researcher and professional statistician, Prof. Xiao-Li Meng has made many significant contributions to the field of data science, one of the most notable being founding the Harvard Data Science Review (HDSR). Gleaning inspiration from the Harvard Business Review and Harvard Law Review, Xiao-Li created the HDSR with the goal of it being three things: a popular magazine, a leading education publication, and a premier research journal. Having achieved those aspirations with much success, Xiao-Li speaks to his philosophy behind publishing articles in the HDSR that can be enjoyed by everyone, no matter if you're a professional data scientist, philosopher, quantum physicist, or just someone with an interest in data. In this episode, Xiao-Li shares stories from his academic background and walks us through his training as a pure mathematician while debunking common misconceptions about data science.
Relevant links:
Harvard Data Science Review (Specific columns mentioned: Minding the Future, Recreations in Randomness)
Professor Meng's Personal Academic Site
37 min