The Center for Social Science Computation and Research

March 25, 2024

CSSCR Newsletter Spring 2024

Spring break was short! But it is nice to return to a Quad full of blossoms!

CSSCR will be providing our same quality consulting, data, and classroom/computer services this Spring. We are running our drop-in in-person consulting in Savery 119 Monday through Friday from 8AM to 6PM (Friday 5PM) and also providing drop-in virtual services during the day! To access a consultant online during the day just send a note to CSSCR@uw.edu and a consultant will reach out to you. We also will continue offering consulting in the evening Monday through Thursday (M-Th 6PM-9PM). Access evening help during these times via CSSCR_evening@uw.edu. Of course we always enjoy seeing you in person at Savery 119 or at our main office Savery 110.

As usual, we are offering a slate of introductory workshops this Spring Quarter. See the list below. Registration is simple and open to the broad UW community; each workshop has a link to the registration form. Note we have extended workshop times by 1/2 an hour (most will be 1.5 hours long) with the intent of allowing for some additional time for questions/practice at the end of each session.

Hope you enjoyed your Spring break!

Best wishes,

Jerry Herting

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CSSCR Workshop Offerings Spring Quarter 2024

***Workshops are listed in the order of the dates they are 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: Dadmehr Digbar, CSSCR Consultant
  • Date: Wednesday,  April 10, 2024
  • Time: 11:30am – 1:00pm
  • Location: Savery 117 (Big 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:  Thursday, April 11, 2024
  • Time:  1:30pm – 3:00pm
  • 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:  Aya Masilela, CSSCR Consultant
  • Date:  Friday, April 12, 2024
  • TIme:  10:30am – 12:00 noon
  • Location: Savery 117 (Big 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:  Monday, April 15, 2024
  • Time:  2:30pm – 4:00pm
  • Location: Savery 117 (Big Lab)
  • Register here.

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Introduction to Git and GitHub

Description: This workshop will teach you how to get started using Git and GitHub. The workshop will cover a) the motivation for using Git/GitHub, b) the concepts of “remote, local, push and pull”, and c) using R Studio for cloning and pushing within the GitHub framework. No GitHub experience required; some familiarity with R is helpful.

  • Instructor: Anwesha Pan, CSSCR Consultant
  • Date: Wednesday,  April 17, 2024
  • Time: 1:30pm – 3:30pm
  • 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: He Ren, CSSCR Consultant
  • Date: Thursday,  April 18, 2024
  • Time: 10:30am – 12:00 noon
  • 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: Zhaowen Guo, CSSCR Consultant
  • Date: Thursday, April 25, 2024
  • Time: 1:30pm – 3:00pm
  • 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 DATA:
  • 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
  • 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
  • 2021 ACS 5-Year (2017–2021) Summary File for WA
  • 2021 ACS 5-Year (2017–2021) Summary File for US
  • 2021 ACS 5-Year (2017–2021) PUMS for WA
  • 2021 ACS 5-Year (2017–2021) 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 an in-person service!  

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

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

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