Data Science ARES: Nicholas Horton
Join us at the Data Science Applied Research and Education Seminar (ARES) with:
Beitzel Professor in Technology and Society (Statistics and Data Science)
Department of Mathematics and Statistics
Free Hybrid (In person/Online) Event | Registration Required
Talk Title: Teaching reproducibility and responsible workflows
Abstract: Modern statistics and data science utilizes an iterative data analysis process to solve problems and extract meaning from data in a reproducible manner. The National Academies of Science, Engineering, and Medicine’s (NASEM) 2018 “Data Science for Undergraduates” consensus study identified the importance of workflow and reproducibility as a component of data acumen. But data science is increasingly important in primary and secondary education. How can we help students scaffold their analyses and foster responsible workflows as they begin to develop data fluency? In this talk, I will explore data tools and approaches that are intended to help students develop these important capacities.
Speaker Profile: Dr. Horton is Beitzel Professor of Technology and Society (Statistics and Data Science) at Amherst College. He is passionate about improving quantitative and computational literacy for students with a variety of backgrounds and has worked to deepen engagement and mastery of higher-level concepts and data acumen. Nick is the editor of the Journal of Statistics and Data Science Education, served as the co-chair of the Planning Committee for the NASEM Workshop on K-12 Data Science, co-PI of the NSF-funded Data Science Corps Wrangle/Analyze/Visualize project, and as chair of the Committee of Presidents of Statistical Societies. He was a member of the Roundtable on Data Science Postsecondary Education, and was a member of the NASEM (2018) Data Science for Undergraduates consensus study team. Presently he serves as co-chair of the NASEM Committee on Applied and Theoretical Statistics. Dr. Horton has published more than 190 papers in statistics and biomedical research and four books on statistical computing and data science. He has been the recipient of a number of teaching awards and the American Statistical Association Founders Award. Dr. Horton is a fellow of the American Statistical Association and the American Association for the Advancement of Science.