ASA Connect

This is a reminder that please consider registering for the 2023 Mini-Symposium on Statistical Computing in Action. 

• Slots are limited during the Speedy Presentation Session. If you want to showcase your work related to statistical computing, please submit your abstract ASAP at asa-ssc.github.io/minisymp2023/abstract. 
• Group rate is now available (asa-ssc.github.io/minisymp2023/registration). Register once to host a "watch-party" for students and/or colleagues!

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The Section on Statistical Computing of the ASA is excited to host its online symposium (asa-ssc.github.io/minisymp2023) on Saturday, November 4, 2023.  The symposium, "Statistical Computing in Action", aims to demonstrate the remarkable potential and elegance of statistical computing and provide a platform to refine statistical computing expertise, enriching skill sets and problem-solving capabilities.  Additionally, the event endeavors to foster a collaborative and inclusive community that bridges the gap across various computing languages, encouraging knowledge exchange and mutual growth.

Registration and abstract submission are now open.  Please visit the website:  asa-ssc.github.io/minisymp2023

The program includes:

• Keynote address by Simon Urbanek (Executive Editor of R Journal and Senior Lecturer of Data Science at the University of Auckland).
• Data Jamboree, in which experts in Julia, Python, and R attack a data analysis in their respective languages.
• Julia: HaiYing Wang (University of Connecticut)
• Python: Shannon Taas (Brigham Young University)
• R: Lucy D'Agostino McGowan (Wake Forest University)
• Lightning session with contributed talks from the community... That's you!
• Panel discussion on open-source software, open data, and open computing featuring
• Tracy Teal (Open Source Program Director at Posit)
• Carol Willing (Python and Jupyter Core Developer, VP of Engineering at Noteable)
• Achim Zeileis (Editor-in-Chief of the Journal of Statistical Software, Professor at Universität Innsbruck)

The event is very cheap (as cheap as "free" for all student members of the Statistical Computing Section). We kindly request you to spread the word and share this opportunity with anyone who may have an interest in statistical computing and data science.

Please contact the committee with any questions.

Sincerely,

• David Dahl (co-chair), Brigham Young University
• Kun Chen (co-chair), University of Connecticut
• Mingzhao Hu, Mayo Clinic
• Jun Yan, University of Connecticut

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Kun Chen
Professor
Department of Statistics
University of Connecticut
https://kun-chen.uconn.edu
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