While a math student at Vassar, Deborah Nolan was first exposed to statistics during a summer internship during which she helped analyze data from a survey in a women’s magazine about how family life had changed as more women became breadwinners. That experience convinced her to stay away from statistics and stick with the comfortable world of theoretical math. After graduating, she worked for IBM and learned how to code in several languages. It was her work as an applications programmer that brought Nolan back to the world of statistics, and she went on to earn a PhD in the field. Since then, Nolan has earned multiple awards for her dedication to teaching, including the ASA Waller Distinguished Teaching Career Award and Berkley’s Distinguished Teaching Award. She co-developed the first data science course at Berkeley and played a pivotal role in designing the data science major, leading to the establishment of the College of Computing, Data Science, and Society. Currently serving as the inaugural associate dean, Nolan is instrumental in meeting the growing demand for data science education, with nearly 1,000 students graduating annually with a data science major from Berkeley.
computing
April Issue Focuses on Causal Inference, Computing, Technology
The April issue of the Journal of Statistics and Data Science Education is freely available online. The issue includes an editorial, plus 10 articles on a variety of topics and projects.
Successful JSM 2023 Program Requires You
JSM 2023 Program Committee members put together more than 200 invited sessions on a broad range of topics in statistics and data science. Now, it’s time to fill out the rest of the program with your help.
Statistical Computing and Statistical Graphics Sections Announce Award Winners
Congratulations to the John M. Chambers Statistical Software and Student Paper Award winners. Nominations are also sought for the Statistical Computing and Graphics Award.
SDSS 2020 to Feature Refereed Submissions
The Symposium on Data Science and Statistics will feature a new system of refereeing contributed papers, most notably in the computing community, that have become increasingly popular among statisticians.
Bradley Efron
Bradley Efron, professor of statistics and biomedical data science at Stanford University, developed “bootstrap,” a method for assessing the uncertainty of scientific results that has had extraordinary impact across many scientific fields.
Plan Now to Take Part in Data Challenge Expo 2019
The ASA Computing, Government, and Graphics sections will sponsor the Data Challenge Expo 2019 at JSM 2019 in Denver, Colorado.
Statistical Computing and Graphics Sections Seek Award Nominees
The Statistical Computing and Graphics Award of the ASA Statistical Computing and Statistical Graphics sections recognizes an individual or team for innovation in computing, software, or graphics that has had an impact on statistical practice or research.
Data Challenge 2017 Winners
Three ASA sections—Computing, Government, and Graphics—sponsored Data Challenge 2017.
ASA Joins IEEE, ACM for Data Science, Advanced Analytics Conference
In recognition of statistics being one of three foundational areas of data science, the ASA is cosponsoring the 2016 IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA’2016) October 17–19, 2016, in Montréal.