The Visibility Lab
Institute for Measurement, Markets, and Memory (I3M)
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The Visibility Lab is a research institute focused on the economics of visibility: who gets counted, who gets taken from, and how administrative systems shape economic outcomes. Research at the lab applies causal inference methods to questions at the intersection of health economics, computational social science, and institutional design.
Why This Research Matters:
When people are made invisible by the systems meant to serve them: administrative records that exclude, policies that transfer wealth without accountability, institutions that measure some lives more carefully than others, the consequences are economic, not just social. The Visibility Lab quantifies these mechanisms to make them legible and addressable.
Research Focus Areas
Research Focus Areas
Coercive taking and property rights
Administrative visibility and institutional exclusion
Health economics and population-level disparities
Causal inference methods and applied econometrics
Machine learning applications in economics
Research Projects
Research Projects
Current research examines the economic and institutional mechanisms through which individuals and communities are made invisible or exploited by administrative systems. This work sits at the intersection of health economics, computational social science, and applied econometrics, with an emphasis on causal identification and policy-relevant findings.
Juneteenth and Economic Outcomes -- An Asher Fund-supported study using machine learning methods to examine economic patterns connected to Juneteenth and Black wealth-building, with attention to structural and institutional factors.
Coercive Taking and Administrative Visibility -- An ongoing research agenda investigating how administrative systems enable or obscure the coercive transfer of resources, assets, and opportunities across populations.
OER Microeconomics Tools -- Published open educational resource tools in the Eastern Economic Journal, expanding access to economics instruction through freely available, replicable materials.
Health Economics and Disparity Research -- Applied econometric work examining population-level health outcomes, with a focus on institutional contributors to disparities.
Grants and Funding
Grants and Funding
Funded Work
Asher Fund (2025): Machine learning and Juneteenth economic research
AEA Professional Development Grant (2023)
LMI Leadership Development grant
Tenure Project Grant
Conference Presentations and Affiliations
Conference Presentations and Affiliations
Dr. Eremionkhale has presented her work at the
American Economic Association (AEA),
Southern Economic Association (SEA),
Eastern Economic Association (EEA),
Indiana Association for Social Sciences (IASS)
Summer Institute in Computational Social Science (SICSS)
Stanford's Center for Advanced Study in the Behavioral Sciences (CASBS).
Let's Collaborate:
Researchers, practitioners, and organizations working at the intersection of data, policy, and equity are encouraged to reach out about potential collaborations.
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