January 7, 2026
CSSCR Winter 2026 Newsletter
Winter quarter is upon us. Welcome back to the UW in 2026.
CSSCR offers data and statistical consulting to all members of the UW community, whether student, faculty or staff. Our service is primarily drop-in during days the UW is open for business. We also offer a series of workshops each quarter. You can read about the workshops and sign up for them below in this newsletter.
We look forward to serving you this quarter. Have a great 2026!
Darryl Holman
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CSSCR Workshop Offerings Winter Quarter 2026
***Workshops are listed in the order of the dates they will be delivered***
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Introduction to Python
Description: This workshop assumes no familiarity with python and is even appropriate for new coders as well. We will start the basics including installation, choosing a programming environment, learning some key syntax, and ending with data analysis.
- Instructor: Tynan Challenor, CSSCR Consultant
- Date: Wednesday, January 21, 2026
- Time: 10:30am – 11:50am
- Location: Savery 121 (Small 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: Thursday, January 22, 2026
- Time: 12:00pm – 1:20pm
- 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, covering geospatial data models, vector analysis with Shapely/GeoPandas, and raster processing with GDAL. Participants are encouraged to take an introductory Python course but not required.
- Instructor: Yuying Xie, CSSCR Consultant
- Date: Monday, February 2, 2026
- Time: 2:00pm – 3:20pm
- Location: Savery 117 (Big Lab)
- Register here.
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Introduction to Thematic Analysis in Atlas.ti
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.
- Instructor: Baishakhi Basu, CSSCR Consultant
- Date: Thursday, February 5, 2026
- Time: 3:00pm – 4:20pm
- Location: Savery
121117 (Small Lab) - Register here.
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Introduction to STATA 13
Description: In this crash course, we will cover topics from viewing, cleaning, to graphing data in stata. The lab computers have the software installed.
- Instructor: Biying Zheng, CSSCR Consultant
- Date: Friday, February 6, 2026
- Time: 9:00am – 10:20am
- Location: Savery 121 (Small Lab)
- Register here.
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Data Wrangling in R
Description: This workshop explores some of R’s useful tools for data transformation, management and exploration. It will introduce some key concepts and techniques for data wrangling primarily using the Tidyverse packages. Attendees are assumed to have basic familiarity with R.
- Instructor: Alireza Aminkhaki, CSSCR Consultant
- Date: Friday, February 6, 2026
- Time: 2:30pm – 3:50pm
- Location: Savery 121 (Small Lab)
- Register here.
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Machine Learning Methods for Supervised Single-Label and Multi-Label Classification
Description: This workshop aims to provide attendees with the foundational knowledge needed to perform supervised single and multi-label classification using both traditional machine learning methods (Logistic Regression, Multinomial Logistic Regression) and more advanced machine methods (Random Forests and Neural Networks). The workshop will also cover distinguishing between supervised and unsupervised classification research questions. Attendees are expected to have a basic familiarity with conducting statistical analysis in Python.
- Instructor: Yale Quan, CSSCR Consultant
- Date: Thursday, February 12, 2026
- Time: 1:00pm – 2:20pm
- 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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ICPSR access at CSSCR
CSSCR maintains the UW membership in the Inter-university Consortium for Political and Social Research (ICPSR). All members of the UW community have direct access to ICPSR’s data archive of over 9,900 studies. Please contact us (csscr@uw.edu) if you have questions or need more information about using this resource for accessing data or adding your data to the ICPSR repository. ICPSR new data releases and other news can be found here.
CSSCR in-house data sets
CSSCR maintains an extensive catalog of data sets beyond those available through ICPSR. Please contact us for more information about data sets you are looking for. This quarter, we have added four new data sets to our collection:
- 2024 American Community Survey (ACS) 1-Year Summary File for WA
- 2024 American Community Survey (ACS) 1-Year Summary File for US
- 2024 American Community Survey (ACS) 1-Year PUMS for WA
- 2024 American Community Survey (ACS) 1-Year PUMS for US
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About CSSCR
The Center for Social Science Computation and Research (CSSCR) is an interdepartmental computer center in the College of Arts and Sciences at the University of Washington. CSSCR provides facilities and consulting support for computing activity related to teaching and research at the University for our member departments, schools, and centers.
Hours of Operation
CSSCR is primarily an in-person service
Drop in In-Person Consulting (Savery 119)—no appointment needed just stop on by!
Hours: Monday-Friday 8AM—6PM
If you prefer an online meeting during the above times, e-mail csscr@uw.edu with your question or problem and we will arrange a Zoom meeting or answer your questions via e-mail.
Main office and other services (Savery 110)
Main office is open Monday-Friday 9AM-5PM — Please send queries to csscr@uw.edu.
We are closed weekends and for all University holidays.
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Contact Us:
Center for Social Science Computation & Research
University of Washington
110 Savery Hall
Box 353345
Seattle, Washington 98195 U.S.A.
(206) 543-8110 csscr@uw.edu http://csscr.washington.edu
CSSCR workshops are open to members of the UW community without regard to race, national origin, sex, identity or any other protected class status. If you would like to request academic accommodations for a disability, please contact Disabled Student Services, 448 Schmitz, 543-8924 (V/TDD). If you have a letter from Disabled Student Services requesting academic accommodations, please present the letter to Darryl Holman at CSSCR to discuss the necessary classroom accommodations.
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