For something as multifaceted and ill-defined as data science, communication and sharing best practices across the field can be extremely valuable but also extremely, well, multifaceted and ill-defined. That doesn’t bother our guest today, Prof. Xiao-Li Meng of the Harvard statistics department, who is leading an effort to start an open-access Data Science Review journal in the model of the Harvard Business Review or Law Review. This episode features Xiao-Li talking about the need he sees for a central gathering place for data scientists in academia, industry, and government to come together to learn from (and teach!) each other.
Podden och tillhörande omslagsbild på den här sidan tillhör Ben Jaffe and Katie Malone. Innehållet i podden är skapat av Ben Jaffe and Katie Malone och inte av, eller tillsammans med, Poddtoppen.
