In the 17th installment of the Amstat News series of interviews with ASA presidents and executive directors, we feature a discussion with 1997 ASA President Jon Kettenring.
Computer science
Jordan Urges Both Computational, Inferential Thinking in Data Science
As part of the NSF Data Science Seminar Series, Michael I. Jordan—chair of the University of California, Berkeley Department of Statistics—made his case for why one should think of data science as the combination of computational and inferential thinking.
The Identity of Statistics in Data Science
Within the statistics community, there is a debate about whether data science and statistics are distinct disciplines. This conversation about data science betrays an anxiety about our (statisticians’) identity.
Discussing Data Science
Carl Letamendi says he has one foot in data science and one in statistics, but belongs to neither. In this month’s column, Letamendi shares where he thinks we stand in the ‘data science tug-of-war’ between computer science and statistical science.
Statistics Losing Ground to Computer Science
Norman Matloff, professor of computer science at the University of California, Davis, argues that the field of statistics is being eclipsed by other disciplines, notably computer science.