CSSCR Autumn 2017, Number II
From the Director
This is our second CSSCR announcement for the quarter! Below you will find our listing of additional workshops for the remainder of the quarter.
We have one special workshop coming up this quarter provided by Dr. Shuming Bao from the University of Michigan. Dr. Bao is the Director for Spatial Data Center and China Data Center at the University of Michigan. A brief abstract for the workshop follows:Abstract: The US NSF/SBE Advisory Committee released a report on "Social, Behavioral, and Economic Sciences Perspectives on Robust and Reliable Science" in 2015, which encourages research that is reproducible, replicable, and generalizable. This workshop/seminar will address how to build reproducible, replicable, and expandable case studies in data analysis by applying some workflow based tools. It will present some sample case studies in the spatial studies of population, religion, and industries. Future directions of the development and applications of workflow based case studies will be discussed.
As always, registration is open and free to anyone in the UW community. Please let your colleagues, staff, and students know by sharing this newsletter. Individuals can subscribe to the newsletter here, and our newsletter archive is found here.
As a reminder... if you plan on using the computer labs for Winter or Spring make your reservations early! Lab space is filling up. You can verify your lab reservations and check for space availability on our online calendar. Give us a call (206-543-8110) or drop us an email at firstname.lastname@example.org. The labs can be reserved by faculty in our member departments. Students and student groups from our member departments are also welcomed to reserve the labs for workshops, experiments, group projects, etc.
--Best wishes, Jerry Herting
Using the American Community Survey (ACS) EstimatesDescription:
The Census Bureau's American Community Survey (ACS) is a great source for detailed population and household characteristics, giving estimates and margins of error (MOE) for many aspects of the American population. However, sometimes users must blend ACS results in order to arrive at the exact measure needed. In this class we will explore some Excel-based templates containing several "calculators" that let users enter the published ACS estimates and MOEs to assess the precision of individual estimates, to compare pairs of estimates for their statistical differences and to calculate the MOEs and Standard Errors (SEs) for summing/subtracting, proportion and ratios of estimates. A variety of means for accessing ACS data will be also introduced.
Instructor: Tina Tian, CSSCR Data Specialist
Date: Tuesday, 7 November 2017
Time: 3:00pm - 4:00pm
Place: Savery 121
Build A Workflow Based Case Study in Data AnalysisDescription:
This workshop/seminar will address how to build reproducible, replicable, and expandable case studies in data analysis by applying some workflow based tools. It will present some sample case studies in the spatial studies of population, religion, and industries. Future directions of the development and applications of workflow based case studies will be discussed.
Instructor: Shuming Boa, Director of the Spatial Data Center and China Data Center at the University of Michigan
Date: Monday, 13 November 2017
Time: 1:30pm - 3:00pm
Place: Savery 117
Data Wrangling in RDescription:
This course 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.
Instructor: Stephanie Lee, CSSCR Consultant
Date: Tuesday, 14 November 2017
Time: 4:00pm - 5:00pm
Place: Savery 121
Introduction to R with RStudioDescription:
This class will teach you how to get started with R using the free integrated development environment called Rstudio. The course 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: Yunkang Yang, CSSCR Consultant
Date: Wednesday, 15 November 2017
Time: 4:30pm - 5:30pm
Place: Savery 121
Introduction to SPSSDescription:
This courses introduces the SPSS package including reading in datafiles as well as basic data management and introductory statistical procedures. Additional topics include computing and recoding variables and selecting and filtering cases.
Instructor: Gabby Gorsky, CSSCR Consultant
Date: Thursday 16 November 2017
Time: 10:30am - 11:30am
Place: Savery 121
Introduction to GISDescription:
This course will introduce you to the basic Stata statistical package including reading in STATA datasets, basic data manipulation in Stata, and common statistical procedures.
Instructor: Will Brown, CSSCR Consultant
Date: Monday, 20 November 2017
Time: 1:30pm - 2:30pm Place: Savery 117
To register for the above classes, follow this link.
Recent and New Data 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 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.
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
Consulting and Computers are available Monday to Thursday: 8:00am to 9:00pm, Friday: 8:00am to 5:00pm
Center for Social Science Computation & Research
University of Washington
110 Savery Hall
Seattle, Washington 98195 U.S.A.
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 indicating you have a disability that requires academic accommodations, please present the letter to Jerald Herting at CSSCR so we may discuss the accommodations you might need for class.