IPR Workshops
R Workshops
R is a language and environment for data manipulation, calculation and graphical display. The term “environment” is intended to characterize it as a fully planned and coherent system of data analysis software.
This year the guiding theme for the R working group sessions will be the use of computational methods and data in demography, which begs the question “what is computational demography”? The exact definition is most likely up for negotiation, but we suggest that it involves conducting research with new sources of data, as well as using new methods to analyze traditional data (Kashyap et.al., 2023). Delving into these new areas can be greatly enhanced with additional skills more closely associated with computer science. Parts of this workshop are adapted from Jason Thomas’ previous workshop.
New to Fall 2026:
- Use of APIs to automate data mining (think PubMed, Images)
- Publishing academic literature involving R
- Access to specialty databases available to Ohio State researchers (faculty and staff)
- More “smart” LLM/AI practices and integration within R
- “Communicating” with other researchers and data/code portability and working in teams
- If we have time, will delve into making your own packages/published code for R
All workshops are subject to change depending on interest from participants of the sessions or noteworthy advances in computation. No previous experience required.
Please bring your own computer that is from at least 2014 and running Mac or Windows, otherwise the instructor might not be able to diagnose any software/hardware/code issues that arise during the sessions.
Building off Spring 2026 will be the insight of Neel Agarwal BS, third year medical student, to give a healthcare and big-data lens as well as teach real-world applications and ground sessions in practical applications to enhance your research, QI projects, or even hobbyist works. Specific dates the workshop will take place are 9/14, 9/28, 10/12, 10/26, 11/9, 11/23, 12/7.
Fall 2026 workshops will generally be offered every other Monday, September 14 – December 7, from 4:30 – 5:30 p.m. in IPR’s conference space, Townshend Hall, room 038 and via Zoom. See details below.
Fall 2026 R Workshops
September 14: Introduction to R & Computational Methods in Demography (with a healthcare big data analysis twist)
September 28: Exploring and Preparing Data with dplyr, tidyverse and Healthcare Analysis 1
October 12: Making Plots in R with ggplot2 & AI Integration 1
October 26: Web Scraping with R with rvest and rselenium & AI Integration 2
November 9: Text Analysis – Data Preparation with tidytext
November 23: Text Analysis II – Topic Modeling, Healthcare Analysis 2
December 7: Machine Learning and Imputation using missForest and parallelize
For additional materials please visit:
Contact: Please contact Neel Agarwal to be added to our listserv where most of the communication for the workshops takes place.
Past R Workshops
Fall 2025 R Workshops
September 25: Introduction to R & Computational Methods in Demography
October 2: Introduction to GitHub and Integration with RStudio
October 9: Exploring and Preparing Data with dplyr, tidyverse
October 23: Making Plots in R with ggplot2
November 6: Web Scraping with R with rvest and rselenium
November 20: Text Analysis – Data Preparation with tidytext
December 4: Text Analysis II – Topic Modeling
IPR Special Topics Seminars
The IPR Special Topics Seminar are interactive seminars designed to provide the latest tips and techniques to increase research rigor and efficiency, encourage collaboration, and support applications for external funding. Seminars will be posted as they are scheduled.
For questions and suggestions, contact IPR Associate Director Kammi Schmeer.