Welcome to the autumn quarter and the 2025-2026 academic year! <\/p>\n
CSSCR has used the summer to do some updates and maintenance. Among other things, we have deployed a new poster printer, a Canon TM-350. The new printer replaces a 10-year-old HP DesignJet T520 printer that was suffering from both quality issues and some maintenance and reliability problems. The new printer uses 36″ wide paper, and produces higher quality prints with ink that is more smudge and water resistant. The HP printer will serve as a backup.<\/p>\n
With the new printer comes a new way to request poster printing. We now have a Google form-based submission process that should streamline requests and ensures we receive the information we need to print your poster. Details can be found on our Poster Printing page<\/a>. <\/p>\n This year CSSCR will continue to offer a series of workshops each quarter. You can read about the workshops and sign up for them below in this newsletter. <\/p>\n Note that our consulting services will be closed on September 22 and 23. We will open on September 24 and drop-in consulting will be open from 8am to 6pm weekdays, except for holidays (Nov 11 and Nov 27-28).\u00a0 As part of the college cost cutting, CSSCR will no longer be offering evening on-line or in-person consulting.<\/p>\n We look forward to serving you this quarter. Have a great fall!<\/p>\n Darryl Holman<\/p>\n ***************************************************************************** ***Workshops are listed in the order of the dates they will be delivered***<\/p>\n ****************************************************************************<\/p>\n 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 ***************************** Introduction to R<\/strong><\/p>\n 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.<\/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 ***************************** 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 will cover some of R\u2019s useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham\u2019s excellent \u201ctidyr\u201d and \u201cdplyr\u201d packages. Attendees are assumed to have basic familiarity with R\/RStudio. <\/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 **************************** Introduction to Web Mapping<\/strong><\/p>\n Description: Learn how to use ArcGIS Online to create interactive web maps and bring your spatial data to life. We\u2019ll also build a dashboard to showcase tabular data that connects to your web map—a great way to advance your data visualization skills.<\/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 ***************************** 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 two 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 Autumn 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 If you would like to request academic accommodations due to 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 so we may 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":" Welcome to the autumn quarter and the 2025-2026 academic year! CSSCR has used the summer to do some updates and maintenance. Among other things, we have deployed a new poster printer, a Canon TM-350. The new printer replaces a 10-year-old HP DesignJet T520 printer that was suffering from both quality issues and some maintenance and…<\/p>\n
\n*****************************************************************************<\/p>\nCSSCR Workshop Offerings Autumn Quarter 2025<\/strong><\/h2>\n
\n
\n*****************************<\/p>\n\n
\n*****************************
\nEfficient R Programming: Working with Many Columns, Functions, and Models<\/strong><\/p>\n\n
\n*****************************<\/p>\n\n
\n****************************<\/p>\n\n
\n*****************************<\/p>\n\n
\n****************************<\/p>\n\n
\n****************************<\/p>\n\n
\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
2024 Detailed General Election Data for President—US County Level<\/ul>\n
2024 Detailed Presidential Election Data—Washington Precinct Level<\/ul>\n<\/li>\n
\n****************************<\/p>\nAbout CSSCR<\/strong><\/h2>\n
Hours of Operation<\/strong><\/h2>\n
\n**********************************************************************<\/p>\n
\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