Presentations

Here are some links to selected presentations I’ve given and workshops I’ve led. For a more complete list, see my CV.

Presentations

2024

Data Communication and Visualization at the University of St Thomas January 2024. Institute for Mathematical and Statistical Innovation, Chicago IL. Teaching and Evaluating Data Communication At Scale (slides)

2023

Data Science as a Superpower (keynote), February 2023. Harford Community College, Bel Air, MD. STEM Day (slides)

2022

What ‘counts’ as statistical communication? August 2022. JSM 2022, Washington DC. (slides)

Implications of R syntax in intro stats July 2022. rstudio::conf, Washington, DC (slides)

Teaching modeling in introductory statistics: A comparison of formula and tidyverse syntaxes June 2022. useR!, virtual. (slides)

Data Science as a Super Power February 2022. University of Richmond biology seminar series. (slides)

2021

Best practices for using and teaching R September 2021. University of St Thomas internal seminar. (slides)

Computing in the Statistics Curriculum: Lessons Learned from the Educational Sciences, with Andrew Zieffler, Matthew Beckman, Chelsey Legacy, Elle Butler Basner, Robert delMas, & V.N. Vimal Rao. JSM 2021, virtual. (slides, video)

Consistency is key: A case study in R Syntaxes, March 2021. Teaching Integrity in Empirical Research (TIER) Spring Symposium (slides, video)

2020

Spatial Gerrymandering: Can it be Avoided?, September 2020. Thinking Spatially: Mapping Politics and Polarization, virtual. (slides)

How (not) to bring Wikipedia into the classroom, August 2020. JSM 2020, virtual. (slides)

Scraping, iterating, purring, July 2020. noRth conference. (slides, video)

Speaking R (keynote), July 2020. useR! 2020, virtual. (slides, video).

Making a Tidy Dress, January 2020. rstudio::conf, San Francisco, CA. (slides, video)

2019

Why the Tidyverse? (keynote), August 2019. noRth conference, Minneapolis, MN, (slides)

Data Science as a Superpower (plenary), July 2019. QUBES Evolution of Data in the Classroom: From Data to Data Science, Williamsburg, VA. (slides)

Data Journalism as a Liberal Art (keynote), June 2019. LACOL Data Science in the Liberal Arts. (slides)

Teaching Data Communication, May 2019. SDSS (slides)

Wrangling Categorical Data in R Without Losing your Mind, January 2019. rstudio::conf (slides, video)

2018

The Power of Algorithms for Good and Evil, November 2018. World Usability Day, University of Minnesota. (slides)

How Spatial Polygons Shape Our World: Geometry, Data, and Perceptions of Truth, September 2018. University of Minnesota Institute for Advanced Study Minneapolis, MN. (slides, video)

How Software Affects Humans’ Conceptions of Data: A Case Study in R Syntaxes, August 2018. JSM 2018, Vancouver BC. (slides)

Imagining the future of statistical education software, July 2018. ICOTS 10, Kyoto, Japan. (slides)

Teaching students reproducibility, May 2018. Electronic Conference on Teaching Statistics (eCOTS) (slides, video)

Making spatial aggregation more transparent, April 2018. 2018 CGA Conference: Illuminating Space and Time in Data Science, Harvard University, Cambridge, MA. (slides)

Data Science as a Superpower, April 2018. Introduction to Data Science Big Data Day, Los Angeles, CA. (slides)

Scientists Programming, February 2018. Evidence about Programmers for Programming Language Design. Dagstuhl Seminar, Wadern, Germany. (slides, writeup)

2017

Algorithmic Accountability, November 2017. Smith College Otelia Cromwell Day, Northampton, MA. (slides, video)

Interfacing with Data (plenary), September 2017, Data Literacy Conference, Aix-en-Provence, France. (slides)

How Spatial Polygons Shape Our World, April 2017, OpenVisConf, Boston, MA. ( video, slides and links)

2016

Integrated R labs for high school students, useR 2016, Stanford University, Stanford, CA. (video, slides and resources)

The gap between tools for learning and for doing statistics. May 2016, Electronic Conference on Teaching Statistics (eCOTS). (video and slides)

Do you know Nothing when you see it? OpenVisConf April 2016, Boston MA. (video links, transcript)

2014

Eyeo Highlights. Datavis LA Meetup. August 2014, Los Angeles CA. (video and slides)

Teaching Data Science to Teenagers (with M. Hansen). International Conference on Teaching Statistics. July 2014, Flagstaff, AZ. (slides)

Teaching R to High School Students (with J. Molyneux). useR! The R User Conference. July 2014, Los Angeles, CA. (slides)

Workshops

Exploring the Tidyverse in R, with Aaron Kessler. NICAR March 2020, New Orleans, LA. (materials)

Introduction to Data Science in the Tidyverse, with Hadley Wickham. rstudio::conf. January 2020, San Francisco, CA. (materials)

Data Carpentry, with Kelsey Gonzalez. Bryn Mawr College. January 2020, Bryn Mawr, PA. (materials)

Data Science in the Tidyverse, with Hadley Wickham. rstudio::conf. January 2019, Austin, TX. (materials)

Intro to R & RStudio, January 2018. rstudio::conf, San Diego, CA. (materials)

Data Science for Statisticians, March 2017, ENAR, Washington, DC. (materials)

Introduction to R. With Coulter Jones. NICAR. March 2016, Denver CO. (code)