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Sessions Were Renumbered as of May 19.

CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

CE_45P Sun, 7/31/2016, 2:00 PM - 4:00 PM CC-W192c
Career Development: Power Careers in Statistics (Open to All JSM Attendees) — Professional Development Personal Skills Development
Panelists: Joan S. Chmiel, Ph.D., Feinberg School of Medicine, Northwestern University, Sou-Cheng Choi, Ph.D., NORC and Illinois Institute of Technology, Larry Hedges, Ph.D., Institute for Policy Research, Northwestern University, Stephen Goranson, M.S., retired, US Environmental Protection Agency, Region V, Yijie Zhou, Ph.D., AbbVie. How do you power your career? What makes a career powerful? The ASA Committee for Career Development is aware that undergraduate and graduate students, as well as faculty in statistics or related departments, are interested in exploring potential career opportunities both in and outside academia (e.g., industry, government, research organizations). How do statisticians make a difference in the world? Choosing from an ever-widening menu of career choices can be daunting. This is also true for experienced statisticians who are in various stages of their careers and contemplating switching jobs and/or application domains. The committee also recognizes there are many statisticians starting from a master's or bachelor's degree and that not everyone will or will want to find a job in a large multinational company. What are the building blocks for a career, beyond finding a starting position? What do employers look for to maximize impact within their organizations? The goal of this panel discussion is to help address practical questions like these and thereby help session attendees with their career planning and development. All the panelists are rising or established leaders in their respective organizations. Their backgrounds and experiences cover a diverse array of statistical applications, which they will describe in their short presentations prior to the panel discussion with the audience.
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