SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science — with Xiao-Li Meng

Data Science

Xiao-Li Meng explains the distinction between data science and statistics, likening it to the difference between physics and physical sciences. He describes data science as a collection of disciplines, including statistics, computer science, and philosophy, forming an artificial ecosystem. This broad scope suggests universities should consider creating faculties or schools of data science rather than departments. Meng emphasizes the importance of understanding data science's scope for building educational and research enterprises 1.

Data science is a collection of disciplines that certainly includes statistics, computer science, engineering, and operations research.

--- Xiao-Li Meng

Jon Krohn and Meng discuss the evolution of data science as a universal and important topic, advocating for the establishment of data science schools or faculties in universities 2.

   

HDSR Mission

The Harvard Data Science Review (HDSR), founded by Xiao-Li Meng, serves as a forum for diverse perspectives within the data science community. Meng highlights the publication's mission to define and shape the field of data science, providing a platform for debate and understanding among data scientists. The HDSR aims to transcend Harvard's boundaries, engaging with the broader data science community 3.

The mission of Harvard Data Science Review is very clear, very ambitious.

--- Xiao-Li Meng

Jon Krohn notes the publication's open-access nature, allowing anyone to explore its content and contribute to the ongoing dialogue in data science 4.