Yes…CSSCR is open during this summer. In fact, summer is a great time to take advantage of our consulting services for quantitative or qualitative analysis and data access and management. Our hours are from 9am to 5pm daily except for holidays. Note that we will be closed from August 25th through Labor Day (September 7th). <\/p>\n
CSSCR offers many resources to support students doing research in the social sciences. Our data consulting services can help students find relevant data sets for their research. Our drop-in consulting service can assist students in wrangling their data into a useable form, and can help students at any stage of their statistical or qualitative analyses. CSSCR also offers workshops on data analysis and analytical methods (see below). Finally, for students, faculty and staff in our member units, CSSCR can print posters for course presentations or for academic conferences. <\/p>\n
Our services are open to faculty, staff, and students in our member units. Consulting services are available to the whole university community. We look forward to serving you this summer.<\/p>\n
Darryl Holman<\/p>\n
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***Workshops are listed in the order of the dates they will be delivered***<\/p>\n
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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 ***************************** Data Wrangling in R<\/strong><\/p>\n Description:\u00a0 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 **************************** 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 ***************************** Geospatial Analysis in Python<\/strong><\/p>\n Description: This workshop introduces core concepts and tools for working with spatial data in Python, providing overview for geospatial data models, vector analysis with Shapely\/GeoPandas, and raster processing with Rasterio\/GDAL. Participants are encouraged to take an introductory Python course but not required. <\/p>\n ***************************** Introduction to Agentic Coding with Codex<\/strong><\/p>\n Description: Codex is OpenAI’s coding agent, a software that has access to your project’s files and can generate code, reorganize your directories, and make slides and reports. This workshop introduces a workflow with the codex app. Note: although Codex is currently available to those with a free ChatGPT subscription, it is likely that on the date of the workshop it will require a $20\/month level plan. This workshop is great for you if you have already accessed or plan to access a “Plus” level subscription. <\/p>\n ***************************** Atlas.ti for Qualitative Thematic Analysis<\/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, however, requires CSDE Terminal Server student access (sign up here<\/a> with UWNetID). <\/p>\n **************************** ***************************** CSSCR maintains the UW’s 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. <\/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 Hours: Monday-Friday 9AM—5PM<\/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 CSSCR workshops are open to members of the UW community without regard to race, national origin, sex, identity or any other protected class status. If you would like to request academic accommodations for 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 to 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":" Yes…CSSCR is open during this summer. In fact, summer is a great time to take advantage of our consulting services for quantitative or qualitative analysis and data access and management. Our hours are from 9am to 5pm daily except for holidays. Note that we will be closed from August 25th through Labor Day (September 7th)….<\/p>\n\n
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\nEfficient R Programming: Working with Many Columns, Functions, and Models<\/strong><\/p>\n\n
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\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
\n****************************<\/p>\nAbout CSSCR<\/strong><\/h2>\n
Hours of Operation<\/strong><\/h2>\n
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\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