Conferences and Workshops

Jensen Lecture Series presents: Natasha Quadlin, Assistant Professor of Sociology, UCLA, “Social Class, Debt, Gender and the Purpose of College: Evidence from a National Survey Experiment.”

Research has demonstrated a strong link between student characteristics (e.g., gender, social class) and fields of study at the undergraduate level. This research shows that students are often constrained in choosing fields of study, such that they are encouraged to choose fields that are “practical” (in the case of social class) or “feminine” (in the case of gender). But to what extent is stratification in fields of study undergirded by widespread cultural beliefs about what students should study? In this paper, we use data from a large, nationally representative survey experiment (N ~ 5,000) that captures Americans’ beliefs about what students with different backgrounds should study in college. Findings reveal key social cleavages in how Americans think about college on account of students’ gender, social class, and college funding, including disparate beliefs about what higher education is for and should be.

The Sulzberger Distinguished Lecture: Natalie Foster, Co-Chair, Economic Security Project and Aisha Nayandoro, CEO, Springboard to Opportunities, present: "What Happens When You Give People Money?”

Springboard To Opportunities launched The Magnolia Mother’s Trust in 2018, creating an initiative that provides $1,000 cash on a monthly basis to low-income Black mothers in Jackson, Mississippi—no strings attached—for one year. Now in its third cohort, the Magnolia Mother’s Trust program has supported more than 200 families. While there had been several initiatives for a guaranteed income worldwide, this was the first that specifically targeted extremely low-income families headed by Black women living in affordable housing in the United States. Preliminary findings show significant increases in participants’ ability to pay all bills on time without support, budget more money for food and household costs, save money for an emergency, and purchase health insurance for their family. Since its founding in 2017, the Economic Security Project (ESP) has been at the forefront of the national conversation around guaranteed income. ESP’s support helped launch the Stockton Economic Empowerment Demonstration, the first ever mayor-led pilot in the nation that provided 125 Stockton residents with $500 monthly payments for two years. This pilot laid the foundation for the creation of Mayors for a Guaranteed Income and similar guaranteed income initiatives in cities across the country. ESP has also fought for meaningful cash programs in the policy arena through its work advocating for expansion and modernization of the Earned Income Tax Credit, recurring stimulus checks during COVID-19, and codifying the temporary expansion of the Child Tax Credit. Learn more from Foster and Nyandoro about how findings from their work provide the foundation to make permanent the Biden Administration’s expansion of the Child Tax Credit, and how that could be a stepping stone for a full federal guaranteed income program.

AADS Speaker Series: Natasha Warikoo, Professor of Sociology, Tufts University. "Race at the Top: Asian Americans and Whites in Pursuit of the American Dream in Suburban Schools"

Asian American youth are outperforming all other race groups in the United States, including whites, on measures of academic achievement. What does this portend for the process of ethnic assimilation? In this talk I present findings from a study of a well-off suburban community with a large and growing Asian American population. Parents mobilize their resources to bolster their children's achievements in both academics and extracurricular activities, with Asian parents tending to prioritize academics and white parents tending to prioritize extracurriculars, especially sports. I show how tensions over the 'right' way to parent develop when Asian American youth catapult ahead of their white peers academically. That is, rather than whites and Asians assimilating, either by Asians adopting dominant 'white' parenting practices or whites adopting the strategies of Asians, parents engaged in moral boundary making to defend their parenting, despite well-known stereotypes about Asian parents being too demanding and white children being outsmarted by their Asian American peers. Ultimately, both white and Asian families alike benefit from the class segregation that keeps working class and poor families out of their town altogether, through policies designed to maintain residential segregation, and more.

DUPRI to host Generalized Linear Models in R Workshop November 19, 2021

DUPRI will be hosting a workshop, Generalized Linear Models in R, on November 19. This 4-hour training will cover the basics of running GLMs in R, including specification and syntax, interpretation and displaying of results, and model checking. We will examine binary, count, and categorical models. Some prior experience using R is recommended.

Tyson Brown, PhD, to deliver Martin Luther King, Jr. Memorial Grand Rounds on January 14, 2022

The Department of Medicine announces that Tyson Brown, PhD, Associate Professor of Sociology; Director of the Center on Health & Society, Duke Social Science Research Institute and Inaugural Duke Presidential Fellow (2021-2022) will be the featured speaker at the annual Martin Luther King, Jr. Memorial Grand Rounds. His presentation is: “Toward Racial Health Equity: Critical Population Health Perspectives" and will be held on Friday, January 14, 2022, at 12:00 pm via Zoom.

DUPRI to host an Introduction to R virtual workshop on February 16, 2022

DUPRI will be hosting an Introduction to R virtual workshop. This 4-hour training (one morning and one afternoon session) will introduce you to the R programming language for statistical computing. The class is suitable for beginners who have never used R and is geared toward users of Stata/SAS/SPSS. To attend this event, you must RSVP to laura.satterfield@duke.edu no later than Monday, February 14.

NIA to Host “Social Network Diffusion of Individual Behavior Change Interventions” Virtual Workshop

On March 2-3, 2022, the National Institute on Aging’s Division of Behavioral and Social Research will convene a workshop with subject matter experts to discuss gaps, opportunities, and strategies for adapting individual behavior change interventions to leverage social network dynamics. The workshop will focus on how social network interventions can be leveraged to promote healthy aging, slowing of cognitive decline and prevention of Alzheimer’s Disease and Related Dementias (AD/ADRD), and improved care for persons living with AD/ADRD and their care partners. March 4 will be a closed session for workshop speakers and NIH staff.

DUPRI to Host Collecting Web-based Data using R Workshop on March 16

DUPRI will be hosting a workshop, Collecting Web-based Data using R, on March 16. This 4-hour training (one morning and one afternoon session) provides an introduction to collecting web-based data using R. It will cover making HTTP requests, web scraping, working with structured or scraped web data, interacting with APIs, and obtaining open data. Some prior experience using R is recommended. Session Details Date: Wednesday, March 16 Location: Erwin Mill A103 10:00 AM – 12:00 PM: Morning session 12:00 PM – 12:30 PM: Break 12:30 PM – 2:30 PM: Afternoon session Prior to the workshop, please download and install R (https://cran.r-project.org/) and RStudio (https://rstudio.com/products/rstudio/download/#download/) on your computer. If you need assistance with set up, please contact Mark Yacoub at mark.yacoub@duke.edu. To attend this event, you must RSVP to laura.satterfield@duke.edu no later than Monday, March 14.

DUPRI to Host Text Analysis using R Workshop on April 20

DUPRI will be hosting a workshop, Text Analysis using R, on April 20. This 4-hour training (one morning and one afternoon session) provides an introduction to computational text analysis using R. It will cover data import and formatting, cleaning and prepping documents, data visualization, exploratory analysis, basic network analysis, and topic modeling. Some prior experience using R is recommended.