Poverty, Race, and Inequality
The issues of inequality, poverty, and racism are consistent threads woven throughout IPR faculty research—and have constituted major research themes from the day the Institute first opened its doors. To examine these pernicious problems, faculty researchers cast a wide net, tackling a variety of topics that shed light on gaps in race, socioeconomic status, opportunity, and housing.
A Message From James Rosenbaum, Program Chair
In the program on Race, Poverty, and Inequality, IPR researchers look at various causes of poverty, racism, and inequality and their consequences in the United States, as well as in developing countries around the world. Topics cut across race, education, social status, and more. The researchers’ examinations often overlap with other IPR programs, such as Urban Policy, Social Disparities and Health, and Child, Adolescent, and Family Studies.
Working Papers
Recently published articles and working papers in this program area include:
Brittany Torrez, Cydney Dupree, and Michael Kraus. 2024. Objectivity Interrogation of Racial Scholarship in Psychology and Management (WP-24-09).
Felipe Gonçalves, Elisa Jácome, and Emily Weisburst. 2024. Immigration Enforcement and Public Safety (WP-24-06).
Brittany Torrez, LaStarr Hollie, Jennifer Richeson, and Michael Kraus. 2024. The Misperception of Organizational Racial Progress Toward Diversity, Equity, and Inclusion (WP-24-03).
Faculty Experts
Faculty come from the fields of economics, sociology, communication, African American studies, education and social policy, and others.
Events
Mules: The Punishment and Political Labor of Black Women
Sally Nuamah, Associate Professor of Human Development and Social Policy and IPR Fellow
How Can You Advance Your Research with Data Science and AI Support?
By Christina Maimone, Northwestern Research Computing and Data Services
How can you advance your research with data science and AI support? Northwestern IT Research Computing and Data Services provides a range of resources, services, and specialized staff who will work with you to address challenges throughout the research process--from project planning and data collection, to analysis and visualization, to data sharing and archiving. Areas of support include expertise in data science, statistics, visualization, AI, data management, data workflows, and data analysis, as well as high-performance and high-memory computing resources, data storage, research software, and secure data environments. This session will discuss recent expansions in support services and staff, and opportunities for research collaborations.
IPR Spring 2024 Distinguished Lecture: Governing the Future: On AI, Public Policy, and Democracy
Alondra Nelson, Harold F. Linder Professor, Institute for Advanced Study, and Senior Fellow, Center for American Progress