It took me all of 30 minutes from starting this mini-project to writing this post. This is not meant to be a brag, but instead an ode to reproducibility. Last year for JSM 2018 I made a Shiny app to browse the conference schedule. I personally found that app really useful, and I know a few others did as well. And I saved my code in a GitHub repo. Now that JSM 2019 is almost here, I thought I’d try my code again.
I have been meaning to try out the gt package for a while now, but didn’t really have a great use case for it. However over the last few days I have been looking over the useR 2019 schedule and felt like I would have an easier time picking talks yo attend if the schedule was formatted in wide format (talks occurring at the same time in different rooms listed next to each other) as opposed to the long format.
I’m excited to announce that, with support from the National Science Foundation (pending final approval), the Section on Statistics and Data Science Education will host the 2nd annual Preparing for Careers in Teaching Statistics and Data Science Workshop in Fort Collins, Colorado, on July 27 (immediately prior to JSM 2019 in Denver, Colorado). The workshop is designed for graduate students and recent PhDs interested in careers in teaching statistics and data science.
I’m pleased to announce that on Monday, September 11 , 9-11 am Pacific, I’ll be leading a Concord Consortium Data Science Education Webinar. Oddly, I forgot to give it a title, but it would be something like “Towards a Learning Trajectory for K-12 Data Science”. This webinar, like all Concord webinars, is intended to be highly interactive. Participants should have their favorite statistical software at the ready. A detailed abstract as well as registration information is here.
Webinar Series: Data Science Undergraduate Education Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting onSeptember 12 and ending on November 14. See below for the list of dates and themes for each webinar. This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective.
I’m a bit late in posting this, but travel delays post-JSM left me weary, so I’m just getting around to it. Better late than never? Wednesday at JSM featured an invited statistics education session on Modernizing the Undergraduate Statistics Curriculum. This session featured two types of speakers: those who are currently involved in undergraduate education and those who are on the receiving end of graduating majors. The speakers involved in undergraduate education presented on their recent efforts for modernizing the undergraduate statistics curriculum to provide the essential computational and problem solving skills expected from today’s modern statistician while also providing a firm grounding in theory and methods.
Tuesday morning, bright an early at 8:30am, was our session titled “Novel Approaches to First Statistics / Data Science Course”. For some students the first course in statistics may be the only quantitative reasoning course they take in college. For others, it is the first of many in a statistics major curriculum. The content of this course depends on which audience the course is aimed at as well as its place in the curriculum.
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