The Center for Social Science Computation and Research

October 2, 2024

CSSCR Newsletter Autumn 2024

Welcome back to Autumn Quarter 2024 and the start of the new academic year. CSSCR is operating on our normal schedule for both in-person and online consulting services and for other services including accessing data, reserving classroom lab time, and drop-in computer access. CSSCR is open daily from 8AM to 6PM, except on Friday we close at 5PM.

Drop-in consulting services are available online and in-person (Savery 119) during these hours; 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.

As always (see list below) CSSCR is offering a set of introductory workshops on a variety of software platforms/topics. These workshops are open to the general UW community. All we ask is that you register for the in-person workshop in advance. (All workshops are scheduled for 1.5 hours with roughly the first hour being key content and the last half-hour allowing for follow-up questions and some 1:1 discussion.)

Hope the new academic year is off to a good start!

Best regards,

J. Herting
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CSSCR Workshop Offerings Autumn Quarter 2024

***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,  October 22, 2024
  • Time: 12:30pm – 2:00pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Qualitative Analysis using ATLAS.ti

Description:   This workshop provides a brief, practical introduction to working in ATLAS.ti, covering basic terminology and functionality of the program. This will include importing text documents, coding and annotating documents, and exploring relationships through analysis and query tools. The course assumes no familiarity with Atlas.ti

  • Instructor:  Baishakhi Basu, CSSCR Consultant
  • Date:  Wednesday, October 23, 2024
  • Time:  2:30pm – 4:00pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to QGIS

Description:   This course will provide students with a broad overview of what geographic information systems (GISs) are and how social scientists can benefit from using them in their research. Students will explore basic GIS concepts through hands-on exercises using QGIS, a widely used GIS software package, as well as freely available data sets.

  • Instructor:  Yuying Xie, CSSCR Consultant
  • Date:  Monday, October 28, 2024
  • TIme:  10:30am – 12:00 noon
  • 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: Crystal Yu, CSSCR Consultant
  • Date: Monday,  October 28, 2024
  • Time: 1:30pm – 3:00pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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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: Alireza Aminkhaki, CSSCR Consultant
  • Date: Tuesday,  October 29, 2024
  • Time: 1:30pm – 3:00pm
  • Location: Savery 121 (Small Lab)
  • Register here.

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Introduction to Python

Description:  This introductory workshop is designed to introduce you to basic Python commands, including reading in datasets, basic data manipulation, and common statistical tests and procedures. This will also cover common Python IDEs and comparisons to other popular programming languages such as Stata and R.  This class will be ideal for users who have little to no experience with Python.

  • Instructor:  Tynan Challenor, CSSCR Consultant
  • Date:  Wednesday,  October 30, 2024
  • Time:  10:30am – 12noon
  • 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, October 31, 2024
  • Time:  10:30am – 12noon
  • Location: Savery 121 (Small Lab)
  • Register here.

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Basic Graphics and Data Visualization in R

Description:   This CSSCR workshop introduces students to ways of producing effect graphs and visualization graphs in R.  Topics covered will include basic plotting functions (e.g. histograms, scatter plots), production of multi-panel graphs, and various means of exporting graphs to other presentation packages.  A basic user level of R / RStudio is assumed.

  • Instructor: Brian Leung, CSSCR Consultant
  • Date: Thursday, October 31, 2024
  • Time: 12:30pm – 2:00pm
  • 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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New and Recent Data at CSSCR 

  • NEW DATA:
  • 2020 Census Privacy-Protected Microdata File (PPMF)
  • 2022 ACS 5-Year (2018–2022) Summary File for WA
  • 2022 ACS 5-Year (2018–2022) Summary File for US
  • 2022 ACS 5-Year (2018–2022) PUMS for WA
  • 2022 ACS 5-Year (2018–2022) PUMS for US
  • UPDATED DATA: 
  • 2020 Demographic and Housing Characteristics File (DHC)
  • RECENT DATA:  
  • 2022 ACS 1-Year Summary File for WA
  • 2022 ACS 1-Year Summary File for US
  • 2022 ACS 1-Year PUMS for WA
  • 2022 ACS 1-Year PUMS for US
  • 2020 Census 2020 Demographic and Housing Characteristics File (DHC) for US
  • 2020 Census 2020 Demographic and Housing Characteristics File (DHC) for WA

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!

Autumn Hours Monday-Friday 8AM-6PM (5PM on Friday)

 

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:  Autumn 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 Jerald Herting at CSSCR so we may discuss the necessary classroom accommodations.

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