September 29, 2021
CSSCR Newsletter Autumn 2021
From the Director:
CSSCR friends! Welcome back to campus for the Academic Year 2021-22 and specifically Autumn Quarter! While we got used to the Zoom platform it was never quite the same. We look forward to being in-person and operating our services as we have done in the past. Of course, returning to campus is not exactly back to normal and we respectfully request as you use our services you mask-up and practice simple healthy behaviors (i.e. maintain some distance when possible, wash your hands, if you aren’t feeling well stay home).
Our main office has re-opened to serve you and will be operating during the hours of 8:00am to 12:00pm and 1:00pm to 5:00pm Monday through Friday.
Our drop-in in-person consulting services and drop-in computer labs largely remain the same. We will provide in-person consulting service and access to the computer labs Monday-Thursday from 8:00am to 6:00pm and on Fridays 8:00am to 5:00pm. As an experiment we will only be offering on-line consulting from 6:00pm to 9:00pm. This on-line evening service is simply accessed by sending an email to csscr_evening@uw.edu—you will receive an email response or invite to a Zoom meeting. Given this change the labs will be closed in the evening after 6:00pm.
CSSCR workshops are also back. They will be in person in our large classroom computer lab! Please see below for the Autumn Quarter line-up.
As always we are closed weekends and on all university holidays. Requests for data services, other services, and general questions can also be addressed at csscr@uw.edu. We are here to help with your students, your research, your courses!
Again it is great to be back and we look forward to serving you in-person in an Covid transmission safe/best practices manner.
Best regards,
Jerry Herting
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CSSCR Short Workshop Offerings Autumn Quarter 2021
***Workshops are listed in the order of the dates they are delivered***
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Introduction to GIS/ArcGIS
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 ArcGIS, a widely used GIS software package, as well as freely available data sets.
- Instructor: Aya Masilela, CSSCR Consultant
- Date: Tuesday, October 19, 2021
- TIme: 9:30am – 10:30am
- 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: Tuesday, October 19, 2021
- TIme: 3:30pm -4:30pm
- Location: Savery 117 (Big Lab)
- Register here.
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Backing Up Data and File Redundancy
Description: This one-hour workshop will introduce attendees to several techniques for backing up data and maintaining file redundancy. The first half of the workshop will showcase a backup and file redundancy system that uses a combination of manual and automated techniques to replicate data and code. Several pieces of software and cloud-based services will be introduced. The second half of the workshop will invite attendees to share best practices and favorite techniques. This workshop is intended for all skill levels and will demonstrate a backup and file redundancy system for a single person. This workshop will be especially helpful for graduate students writing a thesis or a dissertation.
- Instructor: Michael Babb, CSSCR Consultant
- Date: Wednesday, October 20, 2021
- TIme: 10:30am -11:30am
- 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: Victoria Sass, CSSCR Consultant
- Date: Thursday, October 21, 2021
- TIme: 2:30pm – 3:30pm
- 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: Youngwon Kim, CSSCR Consultant
- Date: Monday, October 25, 2021
- TIme: 2:30pm – 3:30pm
- Location: Savery 117 (Big Lab)
- Register here.
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Introduction to Stata
Description: This workshop is designed to introduce you to the basic Stata statistical package including reading in Stata datasets, basic data manipulation in Stata, and common statistical procedures.
- Instructor: Kovid Puria, CSSCR Consultant
- Date: Tuesday, October 26, 2021
- TIme: 3:30pm – 4:30pm
- 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: Zhaowen Guo, CSSCR Consultant
- Date: Thursday, October 28, 2021
- TIme: 3:30pm – 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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Recent and New Data at CSSCR
- RECENT DATA:
- 2019 ACS 5-year Summary File estimates for Washington State
- 2019 ACS 5-year Summary File estimates for US
- 2019 ACS 5-year Public Use Microdata Sample (PUMS) files for Washington State
- 2019 ACS 5-year Public Use Microdata Sample (PUMS) files 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.
Hours of Operation
CSSCR has returned to in-person service except for evenings (see below for hours)!
Drop in In-Person Consulting (Savery 119) — no appointment needed just stop on by!
Monday-Thursday 8AM-6PM
Friday 8AM-5PM
For information send requests to csscr@uw.edu
Evening on-line consulting — send requests for consulting to csscr_evening@uw.edu
Monday-Thursday 6PM-9PM
For information send requests to csscr_evening@uw.edu
Main Office and other services (Savery 110)
Monday-Friday 8AM-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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