Winter quarter is upon us. Welcome back to the UW in 2026. <\/p>\n
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. <\/p>\n
We look forward to serving you this quarter. Have a great 2026!<\/p>\n
Darryl Holman<\/p>\n
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***Workshops are listed in the order of the dates they will be delivered***<\/p>\n
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Introduction to Python<\/strong><\/p>\n 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. <\/p>\n ***************************** Efficient R Programming: Working with Many Columns, Functions, and Models<\/strong><\/p>\n 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\u2019s 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.<\/p>\n ***************************** Geospatial Analysis in Python<\/strong><\/p>\n 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. <\/p>\n **************************** Introduction to Thematic Analysis in Atlas.ti<\/strong><\/p>\n 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.<\/p>\n ***************************** Introduction to STATA 13<\/strong><\/p>\n Description: In this crash course, we will cover topics from viewing, cleaning, to graphing data in stata. The lab computers have the software installed.<\/p>\n **************************** Data Wrangling in R<\/strong><\/p>\n 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.<\/p>\n ***************************** Machine Learning Methods for Supervised Single-Label and Multi-Label Classification<\/strong><\/p>\n 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.<\/p>\n **************************** ***************************** 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\u2019s 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\u00a0here<\/a>.<\/p>\n 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: <\/p>\n **************************** The Center for Social Science Computation and Research<\/strong>\u00a0(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<\/a>.<\/p>\n CSSCR is primarily an in-person service<\/p>\n Drop in In-Person Consulting (Savery 119)—no appointment needed just stop on by!<\/p>\n Hours: Monday-Friday 8AM—6PM<\/strong><\/p>\n If you prefer an online meeting during the above times, e-mail csscr@uw.edu\u00a0<\/a> with your question or problem and we will arrange a Zoom meeting or answer your questions via e-mail.<\/p>\n Main office and other services (Savery 110)<\/p>\n Main office is open\u00a0Monday-Friday 9AM-5PM \u2014 Please send queries to csscr@uw.edu<\/a>.<\/p>\n We are closed weekends and for all University holidays. Contact Us:<\/strong><\/p>\n Center for Social Science Computation & Research 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.<\/p>\n University of Washington Terms and Conditions of Use<\/a>\u00a0\u00a0\u00a0Send mail<\/a>\u00a0for questions or comments about this newsletter.<\/p>\n","protected":false},"excerpt":{"rendered":" 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…<\/p>\n\n
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121<\/strike> 117 (Small Lab)<\/li>\n
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\nIf you have questions or problems registering please send a note to CSSCR@uw.edu.
\n*****************************<\/p>\nICPSR access at CSSCR<\/strong><\/h2>\n
CSSCR in-house data sets<\/strong><\/h2>\n
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\n****************************<\/p>\nAbout CSSCR<\/strong><\/h2>\n
Hours of Operation<\/strong><\/h2>\n
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\nUniversity of Washington
\n110 Savery Hall
\nBox 353345
\nSeattle, Washington 98195 U.S.A.
\n(206) 543-8110<\/a>\u00a0\u00a0\u00a0\u00a0csscr@uw.edu<\/a>\u00a0\u00a0\u00a0http:\/\/csscr.washington.edu<\/a><\/p>\n