Jeff Leek

What an awesome gift from @Shannon_E_Ellis for my full professor promotion. She gave it to me as she headed out the door to start her new faculty job. Can't wait to see #shannonellisfacts explode as she crushes it in her new job.pic.twitter.com/ZVF9qCphDx

Check out @JonesGalin guest post on promotion in (bio)statistics departments. https://simplystatistics.org/2018/10/11/guest-post-galin-jones-on-criteria-for-promotion-and-tenture-in-bio-statistics-departments/ … This quote is spot on and I'm excited to see (bio)stats leaders recognizing this!pic.twitter.com/jSWGiUyW6J

I wrote about @ahdvnd's new work surveying students in our main MOOC program & estimating increased income due to completing the program. https://simplystatistics.org/2018/10/08/the-economic-consequences-of-moocs/ … The ROI on this program has been one of the key motivating factors in our new Chromebook Data Science effort!pic.twitter.com/MBozhUt4K6

Ok another thing I love about our new CBS program is this awesome course @Shannon_E_Ellis built on written and oral communication in data science. She talks about the difference between giving a technical or general audience ds talk. https://leanpub.com/universities/courses/jhu/cbds-communication …pic.twitter.com/C34WelEpNN

How about this?pic.twitter.com/9dFgX6r1oQ

We've been working to remove and reduce barriers for anyone in high school on up to get into data science. The first part of our new effort is now up! Chromebook Data Science - a MOOC series on @leanpub. http://jhudatascience.org/chromebookdatascience/cbds.html …pic.twitter.com/hASXwPUWQJ

I gave a talk on 10 statistics tips and why you should care for the PhD students at the Swedish National Graduate School in Medical Bioinformatic in Stockholm (second remote talk in a week, thanks @carstendaub for being so accommodating!) https://docs.google.com/presentation/d/1VZ_TnmyvC98lwTx5ukZm88y2dcg0S1uOIz5V8kwWSYI/edit?usp=sharing …pic.twitter.com/ZpPkuHx3Xa

Are you bored & want to help @LucyStats & I out on a project? If you have an #rstats analysis script on Github it would be awesome if you could go through it & fill out this form to label the category of activity you are doing with each function: https://docs.google.com/forms/d/e/1FAIpQLSfyDIVPC3cgKfplS3O7n-lCjWDLIzpCzgV2ffYAhyFuJaUooA/viewform?usp=sf_link …pic.twitter.com/UeHp4WT4Yp

I need this cheatsheet from @AmeliaMN for mapping from the base to mosaic to tidyverse. #JSM2018pic.twitter.com/NZHdtXzELb

Now @AmeliaMN talking about the really important distinction between tools you can use to learn statistics from the tools that you can use to do statistics. #JSM2018pic.twitter.com/TtLeM0v1K4

Hearing from @CMU_Stats talking about the awesome ISLE platform they are building that allows even the freshman English majors who don't want to code but do want to interact with data to create reproducibile analyses. #JSM2018pic.twitter.com/RW9IMn7Ht0

I'm always down for an @AmeliaMN talk. In return I'll share one slide from mine.pic.twitter.com/MlkBxDRhwV

Check out this awesome presentation by @StrictlyStat using our scifigure package https://cran.r-project.org/web/packages/scifigure/index.html … to dissect the subtleties of reproducibility and replication: http://johnmuschelli.com/jsm_2018/ . Would love to see these figures for the new cancer reproducibility initiative....pic.twitter.com/cvAkcUmgpM

Cool idea supplemental chapters to major papers with district author lists...@mgymrek #JSM2018pic.twitter.com/f3cqha6CMO

Now we have @mgymrek doing a great job of dissecting the sandwich model to authorship. This stuff is so important to keeping people in academia who do real collaboration. #JSM2018pic.twitter.com/VMdHarLITF

This Annie Dillard quote from @juliasilge is so spot on for working on creative work. Spend it now if you are doing creative work. We are learning how from Julia using blogging and bookdown for books.pic.twitter.com/MPuap8mmvG

Michael Kane talking about what we get as a field if we go to an open science model in clinical trials. Really smart to motivate reproducibility in terms of clinical benefit.pic.twitter.com/py26PfXJvi

Remember to come out to J.J. Allaire's talk on deep learning tomorrow at 10:30AM EST in W1020 @JohnsHopkinsSPH. If you can't make the talk tomorrow we have your back. Starting at 10:30AM EST you can watch the live webcast here: http://www.ustream.tv/channel/johns-hopkins-bloomberg-school-of-public-health …pic.twitter.com/xO2cwNZsLn

So excited to for our second JHU Data Science Lab/Bloomberg American Health Initiative Speaker J.J. Allaire from @rstudio with an introduction from @bcaffo on Friday May 18 at @JohnsHopkinsSPH!pic.twitter.com/AYwEnUgu6N