Jody Schimmel Hyde, PhD, is a Research Scientist in the Survey Research Center (SRC) of the Institute for Social Research (ISR) at the University of Michigan (UM). She is a co-investigator and an associate director of the Health and Retirement Study. Dr. Schimmel Hyde’s research focuses on financial independence, employment, and public programs to support self-sufficiency and community living for people with disabilities and older adults. She is interested in survey measurement of disability, and the value of survey-administrative data linkages to understand participation in and outcomes for participants of income support programs. Prior to joining SRC, Dr. Schimmel Hyde was a Senior Fellow at Mathematica and the managing director of its Center for Studying Disability Policy. While at Mathematica, she was involved in research projects for federal agencies including the Social Security Administration, the Administration for Children and Families, the Administration for Community Living, and the Centers for Medicare & Medicaid Services.

Through secure, direct access to IRS tax records, WAM is finalizing the creation of measures of the income and wealth holdings of the entire U.S. population and their linking across generations, extending pioneering work by Raj Chetty and collaborators, Emmanuel Saez and Gabriel Zucman, and others.

WAM will publicly release a large, granular set of statistics based on these measures, both at the national level and across multiple subnational geographies. This new data infrastructure will enable novel analyses of wealth inequality and mobility. WAM also prioritizes user-friendly dissemination to make the data easily accessible to local, state, and federal policymakers, community organizations, journalists, and the broader public.

WAM will analyze the levels, inequality, segregation, and intergenerational mobility of wealth and income across the full U.S. population, in order to answer questions such as:

• How does per-capita wealth vary across the country?
• How do wealth and income disparities differ across states and counties?
• How does residential segregation by wealth compare with segregation by income?
• How strong are the intergenerational correlations in wealth and in income?
• Which U.S. areas exhibit higher and lower rates of intergenerational wealth mobility?

Dr. Laitner is Director of the University of Michigan Retirement and Disability Research Center. His research falls primarily in the area of economic theory, in particular, factors influencing long-run growth and the distribution of wealth. He also studies Social Security solvency issues and reform options.

The immediate goal of the project is to identify what timely, local, actionable information tools can measure and describe the impact of NSF/TIP investments in critical and emerging technologies. The focus is documenting the impact of investments in Artificial Intelligence on jobs and skills so that stakeholder communities can proactively support the creation of high-wage, high demand, high skill jobs. This project represents the first phase of a large project. It is intended to build community consensus about the data, methodology and measurement necessary to support production of timely, local, and actionable information tools. The projects particular focus is to describe the regional effects of research investment on high wage, high demand, high skill (H3) jobs with and regional economic development associated with NSF AI Institutes and Regional Innovation Engines.

This project examines whether and how different models for funding and organizing research may relate to the disruptiveness of science. We pay special attention to an innovative model introduced by DARPA, as described by Dugan and Kaigham in 2013 and 2022, which is built on three key principles:

1. Supporting projects that not only advance fundamental scientific knowledge but also address important societal needs, often referred to as Pasteur’s Quadrant.
2. Creating networks of diverse experts from various organizations and disciplines to tackle complex problems that exceed the capabilities of individual scientists.
3. Providing teams with the independence and autonomy needed to work swiftly and creatively towards achieving project objectives.

This project aims to provide the architecture for re-engineering official economic statistics — literally to build key measurements such as GDP and consumer inflation from the ground up. The new measurement architecture offers internally consistent real output and inflation measures that adjust for product turnover and product quality change at scale. It builds up measures of inflation and spending from granular, item-level transactions data. It therefore engineers statistics directly from the information systems of firms rather than superimposing a measurement system based on surveys implemented by statistical agencies.

The aims of this project is to provide improved measurement of retail trade. This project will pilot new approaches that have the potential to improve measurement of key economic indicators by increasing their accuracy, timeliness, and detail while potentially reducing the burden that statistical agencies place on businesses through surveys.

The James M. and Cathleen D. Stone Center for Inequality Dynamics (CID) was founded at the University of Michigan Institute of Social Research in 2019. The mission of CID is to: produce cutting-edge research on social inequality, especially wealth inequality, train the next generation of inequality scholars, and build data infrastructure and increase data accessibility. We pursue these aims as an interdisciplinary group of social scientists working in a collaborative space. Our team includes experts on topics such as wealth and income inequality, economic mobility, economic history, economic sociology, and housing. Together, we examine how between-group inequalities are shaped by geographic, political, and institutional contexts.

The Survey Research Center of the University of Michigan, in cooperation with the U.S. Census Bureau and Cornell University, proposes to link the Health and Retirement Study (HRS) to economic, business, and employment data from the Census Bureau. The HRS surveys more than 22,000 Americans over the age of 50 every two years. It is a large-scale longitudinal project that studies the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. Since its launch in 1992, the study has collected extensive survey information on income and wealth, physical and mental health, and employment and other activities, and linked these survey data to individual-level administrative data from Social Security and Medicare. This new linkage to Census business data will allow us to create a Census-enhanced version of the HRS that will include contextual variables relating to a very broad range of characteristics of each firm at which HRS respondents worked.

This project will create two distinct data resources:

• A Census-enhanced public-use (non-Census enclave) version of HRS that includes a wide of array of variables characterizing HRS employers that can be calculated from Census data.
• A crosswalk between HRS and Census data that allows researchers with projects approved by the Census Bureau to conduct research and construct new variables using the full scope of Census economic and business data. This crosswalk will permit projects that require access to microdata on establishments to be carried out in the Census RDCs on an ongoing basis.

The project will support ten research modules that examine the demand and supply of labor of older workers, the determinants of the retirement decision, and the impact of employment and the characteristics of employers on the health and well-being of older Americans. In its fourth and fifth year it will support a series of pilot studies to conduct further research on this new data resource.

The Institute for Research on Innovation and Science (IRIS) is a consortium based at the University of Michigan Institute for Social Research (ISR) IRIS is designed to transform the successful Universities: Measuring the Impacts of Research on Innovation, Competitiveness, and Science (UMETRICS) initiative developed by the Committee on Institutional Cooperation into a permanent national resource by creating a secure professional data platform for the research community and university administrators.

IRIS will extend UMETRICS by developing national and international partnerships to:

• Collect, improve, protect, and use big data on the dynamics of science and the economy
• Validate and disseminate new metrics on the economic and social effects of research
• Support university members who pursue credible advocacy using those indicators
• Partner with universities to design data products anchored in rigorous research findings
• Develop an interdisciplinary research community that applies IRIS data to address pressing social science and policy questions

IRIS will be the global source for safe, secure, comprehensive, and accessible data to document and improve the value of public and private investments in discovery, innovation, and education. Trusted data and rigorous evidence will support effective policy and advocacy to increase the productivity, value, and impact of universities and other organizations whose contributions to knowledge create economic growth and improve the quality of human life.