Data & Methods

Data & Methods

Since its inception, OPR has been at the forefront of generating new sources of large-scale data to expand our understanding of human populations here and around the world, and developing cutting edge, innovative methods for statistical, demographic, qualitative and mixed methods analysis.

New data produced by current OPR associates include the Mexican Migration Project and the Latin American Migration Project to understand the processes drawing migrants primarily from the developing world to developed countries, particularly the United States (Massey), the Fragile Families Study that for more than two decades has been following a cohort of nearly 5,000 U.S.-born children from low-income and minority families that are at a high risk of breaking up and living in poverty, more than 5,500 hours of in-home video on parent-child interactions aimed at understanding how parents support their children’s early learning (Espenshade), and large-scale surveys in Guatemala on the determinants of illness and health care choices and in Taiwan on health among older persons (Goldman).

Current research in advancing the study of methods has included randomized controlled trials (Deaton), the development of theoretical models to investigate the population dynamics of infectious diseases (Grenfell; Metcalf), new quantitative statistical methods for applications across the social sciences and, in particular, tools that facilitate automated text analysis and model complex heterogeneity in regression (Stewart) and propensity score analysis (Yu Xie), and social network studies of hidden populations (Salganik).


Noreen Goldman - New Jersey Alliance for Clinical Translational Science: NJ ACTS

Noreen Goldman - Social Disparities in Physical Functioning by Race, Ethnicity, and Immigration Status

Bryan Grenfell - Application of Epidemiological Models to Guide and Evaluate Control of Vaccine-preventable Infections

Bryan Grenfell - Exploring Predictive Models for Improving Influenza Vaccine Virus Selection

Bryan Grenfell - Modeling the Impact of Complex Drivers on Infectious Disease Dynamics and Control

Bryan Grenfell - Modeling the Risk of Measles Outbreaks and the Effectiveness of Public Health Response Strategies in the United States

Douglas Massey - Public Use Data on Mexican Immigration

C. Jessica Metcalf - Assessing the Feasibility of Using Serological Data to Monitor and Guide Immunization Programs in Low Income Countries

C. Jessica Metcalf - Collaborative Research: Ecological and Evolutionary Impacts of Disrupted Transmission on Host-microbiome Associations

C. Jessica Metcalf - Models to Support Decision Making for Measles and Rubella Vaccination Planning

C. Jessica Metcalf - The uninvadable microbiome: towards a persistently protective microbiome

Douglas Massey - The Social Demography of Latinos: A Comparative Regional Analysis

Brandon Stewart - Collaborative Research: Analytical Tools for Text Based Social Data Integration

Brandon Stewart - Computational Measures of Engagement Across Difference in Online Courses

Brandon Stewart - Do Online Video Recommendation Algorithms Increase Affective Polarization?

Matthew Salganik - Creating an Open Review Toolkit for Academic Books

Matthew Salganik - The Fragile Families Challenge: A Scientific Mass Collaboration to Improve the Lives of Disadvantaged Children in the United States

Matthew Salganik - Spokes: MEDIUM: NORTHEAST: Collaborative Research: Data Science Foundry: A Collaborative Platform for Computational Social Science

Matthew Salganik - 2019 Summer Institute on Computational Social Science

Yu Xie - Heterogeneous Treatment of Effects in Demographic Research

Yu Xie - Travel Awards to the RC28 Princeton University Meeting for Underrepresented Student Populations