Me (not really a nice guy)

Jenny

• I admire Jenny’s courage to tackle this problem
• 
• problems with spreadsheets
  • can store any mess
  • actions not recorded
  • The Importance of Reproducible Research in High-Throughput Biology (Keith Baggerly) https://youtu.be/7gYIs7uYbMo
• two possible solutions
  • spreadsheet users, we hate you
  • or perhaps we can help
• I wish spreadsheets could die eventually, but this is probably not possible or will take an extremely long time
• how do we encourage people to switch to better tools/approaches?
• 

Karl

• 
• clever shortlink http://bit.ly/jsm2016
• steps toward reproducible research
• personally I tend to avoid the phrase “reproducible research” (e.g. in my book “Dynamic Documents with R and knitr”)
• click click click vs type type type
• In Code We Trust
• Karl is pretty good at writing short tutorials, so please don’t buy my book but read this instead http://kbroman.org/steps2rr/ (and a few other ones)

Karthik

• computational reproducibility
• reproducible != correct, but better than not being able to reproduce
  • “dead” vs “live”
• testing in a nutshell
  • if (output != expected) stop("did not get expected output")
  • e.g. you can use testthat from the Hadleyverse (I use my little package testit)
• research with big data / intensive computing?
• making reproducible research tools more accessible
• incentives

Mine

• perspective from education
• reminded me of my (dark) life as a PhD student
  • grading
  • knitr
  • LaTeX
• an old and evil idea to make students realize the convenience of reproducible research
• technological advances
  • GIT and GitHub

Conclusion

“For practical tips, I recommend that you attend the previous talk that Karl gave.” – @_inundata #JSM2016

— Karl Broman (@kwbroman) August 3, 2016