Company, events, and community
Shiny Contest 2020 deadline extended
Written by Mine Çetinkaya-Rundel
2020-03-18
The original deadline for Shiny Contest 2020 was this week, but given that many of us have had lots of unexpected changes to our schedules over the last week due to the COVID-19 outbreak, we have decided to extend the deadline by two weeks. If you’ve been planning to submit an entry for the contest this week (and if history is any indicator, there may be a few of you out there), please feel free to take this additional time. The new deadline for the contest is 3 April 2020 at 5pm ET.
Mine Çetinkaya-Rundel
Data science educator at Duke University and Posit
Dr. Mine Çetinkaya-Rundel, a leading voice in data science education and a passionate advocate for making data and statistics more accessible, engaging, and reproducible. Mine is Professor of the Practice at Duke University in the Department of Statistical Science and Senior Developer Advocate at Posit, PBC, where she’s part of the tidyverse team.
Her work has transformed how data science is taught, emphasizing openness, reproducibility, and hands-on learning. She’s a co-author of influential open textbooks like R for Data Science and OpenIntro Statistics, which have guided countless learners on their journey into statistics and data science.
Mine’s contributions to education and open science have earned her several accolades, including the Waller Education Award by the American Statistical Association, the Robert V. Hogg Award by the Mathematical Association of America, and the Pickard Award by Harvard University's Department of Statistics, honoring her innovative teaching and dedication to expanding access to statistics and data science education.
Through her teaching, open-source work, and advocacy, Mine continues to inspire new generations of data scientists to not only analyze data—but to do so with curiosity, creativity, and purpose.
Her work has transformed how data science is taught, emphasizing openness, reproducibility, and hands-on learning. She’s a co-author of influential open textbooks like R for Data Science and OpenIntro Statistics, which have guided countless learners on their journey into statistics and data science.
Mine’s contributions to education and open science have earned her several accolades, including the Waller Education Award by the American Statistical Association, the Robert V. Hogg Award by the Mathematical Association of America, and the Pickard Award by Harvard University's Department of Statistics, honoring her innovative teaching and dedication to expanding access to statistics and data science education.
Through her teaching, open-source work, and advocacy, Mine continues to inspire new generations of data scientists to not only analyze data—but to do so with curiosity, creativity, and purpose.
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