Not So Standard Deviations

Hilary and Roger go on a podcast bender and discuss how they record the podcast, missing data methods, rstudio::conf, Uber Movement, diagnosis with prediction models, and Alexa/Siri. Whew! Show notes: Zencastr: https://zencastr.com Ecamm: http://www.ecamm.com Libsyn: https://www.libsyn.com Hilary’s slides on Opinionated Analysis Development: http://www.slideshare.net/hilaryparker/opinionated-analysis-development Tidytext book: http://tidytextmining.com Uber Movement: https://movement.uber.com/cities Data Science Bowl 2017: https://www.kaggle.com/c/data-science-bowl-2017 Pitch Deck Kickstarter: https://www.kickstarter.com/projects/fred/pitch-deck/ Out of the Blocks podcast: http://www.npr.org/podcasts/451202110/out-of-the-blocks-on-w-y-p-r Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Support us through our Patreon page: https://www.patreon.com/NSSDeviations Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast

Hilary and Roger follow up on open data and data sharing in government. They also discuss artificial intelligence, self-driving cars, and doing your taxes in R. Show notes: Lucy D’Agostino McGowan (@LucyStats) made a great translation of Hill’s criteria using XKCD comics: http://www.lucymcgowan.com/hill-for-data-scientists.html Lucy’s web page: http://www.lucymcgowan.com Preparing for the Future of Artificial Intelligence: https://www.whitehouse.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf Partially Derivative White House Special – with DJ Patil, US Chief Data Scientist: http://12%20Dec%202016%20White%20House%20Special%20with%20DJ%20Patil,%20US%20Chief%20Data%20Scientist Not So Standard Deviations – Standards are Like Toothbrushes – with with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S.: https://soundcloud.com/nssd-podcast/episode-29-standards-are-like-toothbrushes Henry Gitner Philatelists: http://www.hgitner.com Some Pioneers of Modern Statistical Theory: A Personal Reflection by Sir David R. Cox: https://drive.google.com/file/d/0B678uTpUfn80a2RkOUc5LW51cVU/view?usp=sharing

Roger travels to Washington, DC to talk with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S. The discussion covered open data, the process of making data available, standards for data formats (and their relation to toothbrushes), and of course—automated vehicles. Show Notes: Data about Pavement: https://infopave.fhwa.dot.gov National Highway Traffic Safety Administration (NHTSA) Federal Automated Vehicles Policy: https://one.nhtsa.gov/nhtsa/av/av-policy.html Office of Science and Technology Policy (OSTP): https://www.whitehouse.gov/administration/eop/ostp U.S. Digital Service: https://www.whitehouse.gov/participate/united-states-digital-service

Hilary and Roger talk about building data science products that provide a good user experience while adhering to some kind of ground truth, whether it’s in medicine, education, news, or elsewhere. Also Gilmore Girls. Show notes: HIll’s criteria for causation: https://en.wikipedia.org/wiki/Bradford_Hill_criteria O’Reilly Bots Podcast: https://www.oreilly.com/topics/oreilly-bots-podcast NHTSA’s Federal Automated Vehicles Policy: http://www.nhtsa.gov/nhtsa/av/index.html

Roger sits down with Amelia McNamara, Visiting Assistant Professor of Statistical and Data Sciences at Smith College, to talk about data science, data journalism, visualization, the problems with R, and adult coloring books. Show Notes: Amelia McNamara’s web site: http://www.science.smith.edu/~amcnamara/index.html Mark Hansen: http://datascience.columbia.edu/mark-hansen Listening Post: https://www.youtube.com/watch?v=dD36IajCz6A Moveable Type: http://www.nytimes.com/video/arts/1194817116105/moveable-type.html Alan Kay: https://en.wikipedia.org/wiki/Alan_Kay HARC (Human Advancement Research Community): https://harc.ycr.org/ VPRI (Viewpoints Research Institute): http://www.vpri.org/index.html LivelyR and spatial aggregation explorers: https://www.youtube.com/watch?v=hps9r7JZQP8 Golden Ratio Coloring Book: https://rafaelaraujoart.com/products/golden-ratio-coloring-book Cats explaining statistics: https://www.youtube.com/watch?v=RXY-WN0ahiw Support us through our Patreon page: https://www.patreon.com/NSSDeviations?ty=h Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/

Hilary and Roger recover from last week’s U.S. election. There’s not really any data science (or much of anything else) in this episode, but if you’re just wondering how things are going, here it is. (Note: Patreon subscribers will not be charged for this episode)

Hilary and Roger go through the overflowing mailbag to respond to listener questions. Topics include causal inference in trend modeling, regression model selection, using SQL, and data science certification. Show notes: Professor Kobre's Lightscoop Standard Version Bounce Flash Device: https://www.amazon.com/gp/product/B0017LNHY2/ Speechpad: https://www.speechpad.com Speaking American by Josh Katz: https://www.amazon.com/gp/product/0544703391/ Data Sets Are The New Server Rooms: https://medium.com/@josh_nussbaum/data-sets-are-the-new-server-rooms-40fdb5aed6b0?_hsenc=p2ANqtz-8IHAReMPP2JjyYs6TqyMYCnjUapQdLQFEaQOjNX9BfUhZV2nzXWwy2NHJHrCs-VN67GxT4djKCUWq8tkhTyiQkb965bg&_hsmi=36470868#.wybl0l3p7 Are Datasets the New Server Rooms? http://simplystatistics.org/2016/10/26/datasets-new-server-rooms/

Hilary and Roger meet at a Jimmy John's to talk data science, like you do. Topics covered include RStudio Conf, polling, millennials, Karl Broman, and more! Show notes: rstudio::conf https://www.rstudio.com/conference/ We Gave Four Good Pollsters the Same Raw Data. They Had Four Different Results: http://www.nytimes.com/interactive/2016/09/20/upshot/the-error-the-polling-world-rarely-talks-about.html?_r=0 Millenials: https://en.wikipedia.org/wiki/Millennials Karl Broman: http://kbroman.org Interview with J.J. Allaire: https://www.rstudio.com/2016/10/12/interview-with-j-j-allaire/ One Year at Stack Overflow: http://varianceexplained.org/r/year_data_scientist/

Hilary and Roger invite Walt Hickey of FiveThirtyEight.com on to the show to talk about polling, movies, and data analysis reproducibility (of course!). Show notes: FiveThirtyEight’s polling methodology: http://fivethirtyeight.com/features/a-users-guide-to-fivethirtyeights-2016-general-election-forecast/ Walt Hickey on Twitter: https://twitter.com/walthickey The 20 Most Extreme Cases Of ‘The Book Was Better Than The Movie’: http://fivethirtyeight.com/features/the-20-most-extreme-cases-of-the-book-was-better-than-the-movie/ Matthew Butterick Typography: http://typographyforlawyers.com/fonts.html Hopp: http://www.hoppstudios.com

Hilary and Roger celebrate their one year anniversary doing the podcast together by discussing whether there are cities that are good for data scientists, reproducible research, and professionalizing data science. Show Notes: Roger’s reproducible research workshop: https://www.biostat.washington.edu/suminst/sisbid2016/modules/BD1603 Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter NSSD Patreon page: https://www.patreon.com/nssdeviations There’s More Than One Kind of Data Scientist by Harlan Harris: http://radar.oreilly.com/2013/06/theres-more-than-one-kind-of-data-scientist.html Billionaire's row in San Francisco: http://sf.curbed.com/maps/mapping-the-10-sf-homes-with-the-highest-property-taxes Mindfulness-based stress reduction https://en.wikipedia.org/wiki/Mindfulness-based_stress_reduction OSIRIS-REx http://www.asteroidmission.org/