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Built environment features mediate the relationship between neighborhoods' racial and ethnic composition and health outcomes
Quynh Nguyen and colleagues investigate this using Google Maps data
Located in Research / Selected Research
Business Formation: A Tale of Two Recessions
Working paper by John Haltiwanger, with Ermin Dinlersoz, Timothy Dunne, and Veronika Penciakova
Located in Research / Selected Research
CAFe Speaker Series: “Equity in Public Access to Research Results; Case Study From National Agriculture Library”
CAFe Speaker Series: “Equity in Public Access to Research Results; Case Study From National Agriculture Library”
Located in Coming Up
Call for Papers: PAA Applied Demography Conference
Virtual conference set for February 1-3, 2022
Located in Coming Up
CANCELLED: Cynthia Feliciano, Washington University in St. Louis
Contextual Inequalities and Socioeconomic Outcomes among Adult Children of U.S. Immigrants
Located in Coming Up
Care Coordination for African American and Hispanic Adults with Alzheimer's Disease and Related Dementias
National Institute of Aging R01
Located in Research / Selected Research
Care Coordination on Minorities with Alzheimer’s Disease and Related Dementia
Principal Investigator Jie Chen, with Andrew Fenelon and others, was awarded a grant to study care coordination on ethnic minority populations
Located in Research / Selected Research
Caryn Bell, African American Studies
Structural Racism and Population Health
Located in Coming Up
Cassie McMillan, Northeastern University
New destinations, adolescent friendship, and substance use: How network revitalization informs the immigrant paradox
Located in Coming Up
Article Reference Troff document (with manpage macros)Change Through Data: A Data Analytics Training Program for Government Employees
From education to health to criminal justice, government regulation and policy decisions have important effects on social and individual experiences. New data science tools applied to data created by government agencies have the potential to enhance these meaningful decisions. However, certain institutional barriers limit the realization of this potential. First, we need to provide systematic training of government employees in data analytics. Second we need a careful rethinking of the rules and technical systems that protect data in order to expand access to linked individual-level data across agencies and jurisdictions, while maintaining privacy. Here, we describe a program that has been run for the last three years by the University of Maryland, New York University, and the University of Chicago, with partners such as Ohio State University, Indiana University/Purdue University, Indianapolis, and the University of Missouri. The program—which trains government employees on how to perform applied data analysis with confidential individual-level data generated through administrative processes, and extensive project-focused work—provides both online and onsite training components. Training takes place in a secure environment. The aim is to help agencies tackle important policy problems by using modern computational and data analysis methods and tools. We have found that this program accelerates the technical and analytical development of public sector employees. As such, it demonstrates the potential value of working with individual-level data across agency and jurisdictional lines. We plan to build on this initial success by creating a larger community of academic institutions, government agencies, and foundations that can work together to increase the capacity of governments to make more efficient and effective decisions.
Located in MPRC People / Frauke Kreuter, Ph.D. / Frauke Kreuter Publications