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

• 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)
• 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)
• Speaking R (keynote), July 2020. useR! 2020, virtual. (slides, video)
• Making a Tidy Dress, January 2020. rstudio::conf, San Francisco, CA. (slides, video)
• 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)
• 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)
• 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)
• Algorithmic Accountability, November 2017. Smith College Otelia Cromwell Day, Northampton, MA. (slides)
• 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)
• Integrated R labs for high school students, useR, June 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)
• Eyeo Highlights. Datavis LA Meetup. August 2014, Los Angeles CA. (video and slides)
• Teaching Data Science to Teenagers (invited talk, 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. (materials, code)