Social Science Data and Software (SSDS) is a group within the Stanford University Libraries (SUL) that provides services and support to Stanford faculty, staff and students in the acquisition, curation, and preservation of social science data and the selection and use of quantitative (statistical) and qualitative analysis software. SSDS staff members provide these services in a variety of ways that include consulting, workshops and help documentation.
The ICPSR Summer Program offers several fee-waiver scholarships to support graduate students and pre-tenure scholars who want to participate in the Summer Program's four-week sessions. The scholarships are targeted toward specific substantive fields and academic disciplines.
A great class on Coursera on questionnaire and survey design!
The course ends on the 30th March, so sign up now and you can access the material after the deadline.
Register now for this free webinar on March 12: 9:30-10:15 PST; 12:30 - 1:15 PM EST (5:30 - 6:15PM GMT/UTC).
Stanford subscribes to this rich database with access via the online catalog, SearchWorks: http://searchworks.stanford.edu/view/5511857
FREE group introductory webinars
These customized webinars are ideal for groups in process of evaluating ATLAS.ti, professors who want to introduce the software to their students, or people who would like us to give an overview of ATLAS.ti at professional conferences. Groups are invited to share their individual requirements and expectations so we can tailor the webinar to their needs. Please complete this registration form.
The U.S. Census Bureau has produced a new iteration of the Citizen Voting Age Population by Race and Ethnicity (CVAP) file. This tabulation from the 2009-2013 American Community Survey (ACS) shows estimates of the CVAP for multiple levels of geography including the small area geography of tracts and block groups.
From the Stanford Center for Computational Social Science:
April 13, 2015 | 8am - 4pm | LKSC
Join Stanford Libraries on April 13th for a lively discussion of data publishing, data sharing, reproducibility, metadata, and data reuse! We aim to bring together members of the Stanford community who are interested in these topics to discuss how we as a research community can better support these principles and educate our colleagues on their benefits to furthering research.