Data talks

Human Subjects Research and Non-Medical Stanford IRB

with Adam Bailey in Green Library Seminar Room 121A at 1:00.

Adam Bailey is the non-medical IRB Manager at Stanford.  Before coming to Stanford, he taught sociology at the community college level for seven years.  While a faculty member at Central New Mexico Community College, Adam served as an IRB member for two years, including one year as IRB chair.  Adam holds a Master’s Degree in Sociology from the New School for Social Research, and a Bachelor’s Degree in Sociology from Michigan State University.

Racial Measurement and Changes in the Social and Economic Well-being of American Ethnic Minorities

with C. Matthew Snipp in Green Library Seminar Room 121A at 2:00.

Mathew Snipp is the Burnet C. and Mildred Finley Wohlford Professor in the School of Humanities and Sciences; Director, Institute for Research in the Social Sciences's Secure Data Center.

Data Visualization with R

with Claudia Engel in The Velma Denning Room (Green Library 120F) at 2:30.

Claudia Engel is an Academic Technology Specialist and Lecturer at the Department of Anthropology. She also is a affiliate of the Center for Interdisciplinary Digital Research at the Stanford Libraries. Claudia holds a doctorate degree in Anthropology and her work centers around the innovative potential of new technologies for teaching and research. She serves as GIS consultant with the Institute for Research in the Social Sciences and is a member of the Stanford Spatial Social Science Lab.

Working with U.S. Census Data

with Jon Stiles in Green Library Seminar Room 121A at 3:00.

Jon Stiles is the Executive Director, California Census Research Data Center and Director of Archive Services, UC Data Archive & Technical Assistance at UC Berkeley. He received his Ph.D in Sociology at UC Berkeley in 2006, and has research interests in educational and population dynamics, immigration, segregation, inequality and stratification, and transfer programs.

Turning Voter Rolls into Voter Files: Digitizing the California Great Registers

with Bradley Spahn in Green Library Seminar Room 121A at 4:00.

Data-driven methods have come to dominate political inquiry about the present, but quantitative analysis of the past is necessarily limited by the data that was preserved at the time. By digitizing paper records from the past, we are able to create new data to be analyzed, and revisit long unsettled questions in political science. Through a partnership with Ancestry.com, and in collaboration with Stanford Librarian Kris Kasianovitz and the California State Library we digitized and created machine-readable versions of the California Great Registers, which are detailed voter rolls spanning the first half of the twentieth century in California. The Registers contain the names, occupations and party affiliations for every voter in California from 1900-1944. This unique dataset is being brought to bear on questions about what happened when women and Asians were given the vote, how the New Deal realignment occurred in the voting public, how partisan segregation came about in California and how families came to share a party affiliation. Spahn will discuss how the data is being cleaned and how the data is analyzed to account for errors in scanning and parsing the data. The benefits of having a multi-disciplinary team will be discussed. Bradley Spahn is a PhD Candidate in the Stanford Department of Political Science.