The Center for Social Science Computation and Research

Workshops Descriptions

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CSSCR Workshop Offerings Summer Quarter 2026

***Workshops are listed in the order of the dates they will be delivered***

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Introduction to R

Description: This workshop aims to introduce basic tools and functions of R for reading, management and examining datasets. Attendees are assumed to have little to no experience with R

  • Instructor: Alireza Aminkhaki, CSSCR Consultant
  • Date:  Tuesday, July 7, 2026
  • Time: 10:00am – 11:20am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Data Wrangling in R

Description:  This workshop will cover some of R’s useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham’s excellent “tidyr” and “dplyr” packages. Attendees are assumed to have basic familiarity with R/RStudio.

  • Instructor:  Victoria Sass, CSSCR Consultant
  • Date:  Thursday, July 9, 2026
  • Time: 10:00am – 11:20am
  • Location: Savery 117 (Big Lab)
  • Register here.

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Efficient R Programming: Working with Many Columns, Functions, and Models

Description: A good rule of thumb in data wrangling and programming is: if you find yourself copying and pasting a block of code more than twice, it’s time to stop and think about a more efficient approach. This course will introduce functional programming and other techniques to reduce redundancy and enhance the computational efficiency of your R code. We will cover practical skills frequently used in data projects, such as manipulating multiple columns, writing anonymous functions, using map(), nesting dataframes within tibbles, and running multiple regressions and comparing them results simultaneously. Attendees are expected to have basic familiarity with data wrangling using dplyr in R.

  • Instructor: Brian Leung, CSSCR Consultant
  • Date: Monday, July 20, 2026
  • Time: 10:00am – 11:20am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Geospatial Analysis in Python

Description: This workshop introduces core concepts and tools for working with spatial data in Python, providing overview for geospatial data models, vector analysis with Shapely/GeoPandas, and raster processing with Rasterio/GDAL. Participants are encouraged to take an introductory Python course but not required.

  • Instructor: Yuying Xie, CSSCR Consultant
  • Date:  Monday, Jul 27, 2026
  • Time: 1:30pm – 2:50pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Agentic Coding with Codex

Description: Codex is OpenAI’s coding agent, a software that has access to your project’s files and can generate code, reorganize your directories, and make slides and reports. This workshop introduces a workflow with the codex app. Note: although Codex is currently available to those with a free ChatGPT subscription, it is likely that on the date of the workshop it will require a $20/month level plan. This workshop is great for you if you have already accessed or plan to access a “Plus” level subscription.

  • Instructor: Tynan Challenor, CSSCR Consultant
  • Date: Thursday, July 28, 2026
  • Time: 10:00am – 11:20am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Atlas.ti for Qualitative Thematic Analysis

Description: This workshop provides a practical introduction to working in ATLAS.ti, by marrying the fundamentals of the qualitative methodology with the functionality of this program. This will include conceptualizing and creating quotations, codes, memos, and comments followed by establishing thematic relationships through systematic analysis. The hands-on course assumes no familiarity with Atlas.ti, however, requires CSDE Terminal Server student access (sign up here with UWNetID).

  • Instructor: Baishakhi Basu, CSSCR Consultant
  • Date:  Friday, Jul 31, 2026
  • Time: 3:00pm – 4:20pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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If you have questions or problems registering please send a note to CSSCR@uw.edu.
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CSSCR workshops are open to members of the UW community without regard to race, national origin, sex, identity or any other protected class status.

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