August 29-30: R Tutorial. Ben Bellman, a PSTC trainee and a graduate student in Sociology, will provide a two-day R-tutorial on the following:
- Introduction to R
- Intermediate R
- Data Visualization with ggplot2 (Part 1)
- Data Visualization with ggplot2 (Part 2)
- Data Manipulation in R with dplyr
- Cleaning Data in R
- Writing Functions in R
- Reporting with R Markdown
- Exploratory Data Analysis in R: Case Study
Alternatively, Chris Bail’s slides provide an intro to R here.
August 31-September 1: PSTC Module: Collecting and Analyzing Digital Trace Data with Chris Bail, Duke University's Douglas and Ellen Lowey Associate Professor of Sociology and Public Policy and a member of the interdisciplinary Program on Data Science, the Duke Network Analysis Center, and the Duke Population Research Institute.
September 15: S4 Speaker Series: Mostly Pointless Spatial Econometrics, Henry Overman, Professor of Economic Geography, London School of Economics. More information here
What does racial inequality look like today, and how does it intersect with inequalities related to class, skin color, and other factors? This Spring 2017 series tackles these questions in diverse arenas, from the health care and criminal justice systems to the labor market. Cosponsored by the PSTC, the Office of Institutional Diversity & Inclusion, and the Center for the Study of Race and Ethnicity in America.
February 8: Deregulated Disparities: The Political Economy of Racial Health Disparities, Abigail A. Sewell, Assistant Professor of Sociology, Emory University.
March 22: The Color of Punishment: African Americans, Skin Tone, and the Criminal Justice System, Ellis Monk, Assistant Professor of Sociology, Princeton University. Add to calendar.
April 12: How Race and Unemployment Shape Labor Market Opportunities: Additive, Amplified, or Muted Effects? David Pedulla, Assistant Professor of Sociology, Stanford University. Add to calendar.
Feb. 24, 9 am-3 pm: Introduction to Web Scraping with R for the Social Sciences. This workshop, led by Yi Qi, Senior GIS and Spatial Analyst for S4 and the PSTC, will introduce basic techniques of web scraping using R. Prior experience in programming is not required by some familiarity with R is helpful.
March 3, 12-1:30 pm: Urban transportation in India: Mobility and accessibility. Adam Storygard, PSTC alumnus, Assistant Professor of Economics, Tufts University, will discuss estimating mobility and accessibility indices for 154 large Indian cities using a popular web mapping and transportation service. Part of the PSTC's S4 Colloquium Series.
March 3, 12-1 pm: The Social life of Stones: Haida Argillite Carving and the Making of Inalienable Commodities. Kaitlin McCormick, Postdoctoral Research Associate in Anthropology and Museum Studies, Brown University, will present her research as part of the PSTC's Working Group on Anthropology and Population (WGAP) Seminar. Held at the Anthropology Department's Giddings House
March 6, 12-1:30 pm: Political Demography event with Jack Goldstone: “A World in Revolution: The Inevitable Backlash against Global Elites.” This talk will show the common demographic factors behind developments leading to populist movements. Part of the politicial demography initiative, a Watson and PSTC partnership.
March 15, 1-2 pm: Why I Count: Understanding How Demography Can Tell Our Story with Matthew Martinez, S4 Postdoctoral Research Fellow. The PSTC will host a group of undergraduate students from San Antonio, TX, who are interested in demography and spatial research for this event, which will present basic concepts in demography including fertility, mortality, and migration and how researchers use data to tell socially important stories. The speaker will intertwine his own personal biography into the discussion and share his perspectives on why population research is vital to seeking justice and telling individual stories.
March 16-17: Terra Populus Project Workshop: Integrating Population and Environment Data. This two-day workshop (formal presentations, hands-on activities, and one-on-one meetings) provides participants with an introduction to the intricacies of integrating demographic and environmental data—a necessary step in any research that investigates human environment interactions.