The Center for Social Science Computation and Research

April 1, 2025

CSSCR Newsletter Spring 2025

As I write this, the cherry blossoms are at peak glory, which means it’s Spring in the Pacific Northwest.  CSSCR is open for business as usual.  We provide both in-person and online consulting and other services including accessing data, reserving classroom lab time, and drop-in computer access. CSSCR facilities are open weekdays from 8AM to 5PM this quarter.

Drop-in consulting services are available online and in-person (Savery 119) during these hours.  You can access online help by sending a note to CSSCR@uw.edu during our daytime hours. Evening online hours M-Th start at 6PM and run until 9PM.  For evening help simply send a note requesting help to CSSCR_evening@uw.edu.

This quarter, we are offering a set of workshops that provide introductions to a variety of statistical programs or data analysis topics.    All we ask is that you register for the in-person workshops in advance.  Most of the workshops are scheduled for 1.5 hours with the first hour giving the key content and the last half-hour allowing for follow-up questions and some 1:1 discussion.

Best regards,

Darryl Holman
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CSSCR Workshop Offerings Spring Quarter 2025

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

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Introduction to R using R Studio

Description: This workshop will teach you how to get started with R using the free integrated development environment called Rstudio. The workshop will cover the basic organization of R and RStudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.

  • Instructor: He Ren, CSSCR Consultant
  • Date: Tuesday, April 15, 2025
  • Time: 10:00am – 11:00am
  • Location: Savery 117 (Big Lab)
  • Register here.

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Data Visualization in R with ggplot2

Description: This CSSCR workshop introduces students to data visualization in R using ggplot2, emphasizing both scientific and aesthetic principles for creating effective graphs. Topics include scaling various visual properties in ggplot2, choosing colors, utilizing small multiples and diagonalization, and other techniques to highlight patterns and tell stories with data. A basic understanding of R/RStudio is assumed.

  • Instructor: Brian Leung, CSSCR Consultant
  • Date: Wednesday, April 16, 2025
  • Time: 10:30am – 12:00 noon
  • Location: Savery 121 (Small Lab)
  • Register here.

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An introduction to Thematic Analysis in Atlas.ti

Description: This workshop provides a brief, practical introduction to working in ATLAS.ti, by marrying the functionality of the program with the fundamentals of the qualitative methodology. This will include importing text documents, creating codes, memos and comments, and exploring thematic relationships through analysis. The course assumes no familiarity with Atlas.ti

  • Instructor:  Baishakhi Basu, CSSCR Consultant
  • Date: Thursday, April 17, 2025
  • Time: 3:00pm – 4:30pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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A Continued Introduction to Python

Description:  The workshop adds to the Autumn Quarter’s “Introduction to Python” but does not require prior experience with Python. We will build off of the first workshop, in which we introduced basic syntax and data structures to move into some visualization and analysis. We will work with a sample dataset to run regressions and introduce the machine learning library scikit-learn. We will also touch upon using AI for generating starter code and debugging. (Note: “start up” knowledge of Python is helpful but no familiarity with Python is required nor did you have to attend the prior session).

  • Instructor:  Tynan Challenor, CSSCR Consultant
  • Date: Friday, April 18, 2025
  • Time:  10:30am – 12noon
  • Location: Savery 121 (Small Lab)
  • Register here.

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Data Wrangling in Python

Description: This workshop explores some of Python’s useful tools for data transformation, management and exploration.  It will introduce some key concepts and techniques for data wrangling primarily using the Pandas package. Attendees are assumed to have basic familiarity with Python.

  • Instructor: Alireza Aminkhaki, CSSCR Consultant
  • Date:  Monday, April 21, 2025
  • Time: 10:30am – 12:00pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Text Analysis using R

Description:  This workshop will introduce the basics of text analysis in R using the tools from the “tidytext” package. Participants will learn how to manage and clean text data, perform sentiment analysis, and calculate descriptive statistics on a body of text.   Basic level of using R/RStudio is assumed.

  • Instructor:  Victoria Sass, CSSCR Consultant
  • Date:  Thursday, April 24, 2025
  • Time: 11:30am – 1:00pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Stata

Description: This workshop will teach you how to get started using the statistical package Stata. The workshop will cover a) reading in data files from different sources, b) basic data manipulation, and c) some basic common statistical procedures. No previous Stata experience required.

  • Instructor: Biying Zheng, CSSCR Consultant
  • Date: Tuesday, April 29, 2025
  • Time: 9:00am – 10:00am
  • Location: Savery 121 (Small Lab)
  • Register here.

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Flow Maps in GIS: Visualizing Migration, Trade, and Networks

Description: Flow maps are useful for representing migration patterns, trade and shipping routes, disease spread, data and communication networks, and so many other measurable quantities between locations. This workshop will cover the principles and aesthetics of flow maps in data visualization, using the open-source tool QGIS for beginners and ArcGIS for advanced users.

  • Instructor:  Yuying Xie, CSSCR Consultant
  • Date:  Tuesday, May 6, 2025
  • TIme: 3:00pm – 4:30pm
  • Location: Savery 117 (Big 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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New and Recent Data at CSSCR 

New datasets:

  • 2023 ACS 5-Year (2019–2023) Summary File for WA
  • 2023 ACS 5-Year (2019–2023) Summary File for US

Recent datasets:

  • 2022 ACS 5-Year (2018–2022) PUMS for WA
  • 2022 ACS 5-Year (2018–2022) PUMS for US

Also see news regarding data availability for Census 2020 at our website under Data Archive Decennial Census http://depts.washington.edu/csscr/census/

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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.

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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 constituent members.

Hours of Operation

CSSCR is primarily an in-person service!  

Drop in In-Person Consulting (Savery 119) — no appointment needed just stop on by!

Spring Hours Monday-Friday 8AM – 5PM

 

If you prefer an online meeting during the above times…simply e-mail csscr@uw.edu  with your question/problem and we will arrange a Zoom meeting or answer your questions via e-mail.

NOTE:  Spring Quarter Evening on-line consulting is available Monday – Thursday from 6PM-9PM — just send a request to csscr_evening@uw.edu.

Main office and other services (Savery 110)

Main office is open Monday-Friday 9AM-12PM and 1PM-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

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.

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