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Date(s) - 12/03/2019
11:00 am - 12:00 pm

Studio Villa Bosch




By Prof. Hadley Wickham, Chief Scientist at RStudio, and Adjunct Professor at Stanford University and the University of Auckland

In this talk, I’ll outline my vision of data science as a field, focusing on the corner in which I’m most familiar: designing tools for data scientist-programmers. I’ll talk about why I believe programming is so important for data science, why code is an excellent medium of computation, and outline some of the challenges that visual tools face. I’ll also talk about data science challenges where programming doesn’t help or feels excessively clumsy, and speculate on how we might fuse the best of programmatic and interactive UIs.


Curriculum vitae:

Hadley is Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz.



For registration please contact Benedicta Frech: benedicta.frech@h-its.org


If your are not able to attend, you can follow the talk via the Live Stream. Click here for the link.