jkglasbrenner + science   8

Linear Digressions
Data science podcast that contains links to interesting and new research in the episode list
machine_learning  podcast  data_science  links  science  resources  linear  digressions 
august 2018 by jkglasbrenner
Agile Analytics, Part 3: The Adjustments
Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct from the nature of engineering?
In this post I discuss some adjustments to the scrum methodology to make the process work better for Analytics and Data Science teams.
agile  analytics  scrum  project_management  data_science  science  resources 
august 2018 by jkglasbrenner
Agile Analytics, Part 2: The Bad Stuff
This is part 2 of my 3 part exploration of the following question: are Agile engineering practices applicable to analytics, or is the nature of research prohibitively distinct from the nature of engineering? For the agile fans, in part 1 I gave an intro to agile and talked through what I like about the scrum development process for analytics. For the agile nay-sayers, in this post I explore the elements of agile that do not work particularly well with Analytics (issues range from annoyance to do...
agile  analytics  scrum  project_management  data_science  science  resources 
august 2018 by jkglasbrenner
Agile Analytics, Part 1: The Good Stuff
Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct from the nature of engineering? In this post I am going to explore some of the pros of using a scrum-like work management process in analytics.
agile  analytics  scrum  project_management  data_science  science  resources 
august 2018 by jkglasbrenner
NOMAD Repository
Resource for storing scientific data, including outputs from DFT calculations.
condensed_matter  Physics  Databases  science  electronic_structure 
april 2018 by jkglasbrenner
Scientific method: Statistical errors : Nature News & Comment
News and Views article on p-hacking, statistical significance, and the perils of relying too heavily on the p value.
statistics  reproducibility  reproducibility_crisis  errors  science 
april 2017 by jkglasbrenner
Science Isn’t Broken | FiveThirtyEight
The article by fivethirtyeight.com that has a p-hacking applet, showing how easy it is to obtain a p-value of 0.05 or less.
science  p-hacking  fivethirtyeight  statistics  replication 
february 2017 by jkglasbrenner

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