Dr. Noah Haber completed his ScD in Health Economics in the Department of Global Health and Population department at the Harvard T.H. Chan School of Public Health in 2017, and is currently a postdoctoral researcher at the Carolina Population Center at the University of North Carolina at Chapel Hill.
For current information on Dr. Haber's meta-science work, including the public-facing center for the CLAIMS study, please see his current site at metacausal.com, which includes a full working version of the paper, a public-facing explainer of the results, the review tool and protocol, and all data and code generated.
Noah's work broadly spans two lines of research: substantive research in HIV/AIDS in South Africa, and meta scientific work on evaluating the strength of causal inference across the pathway from publication to popular consumption. Dr. Haber's expertise is largely in causal inference econometrics and applied microeconomics, particularly in behavioral incentives. He received his B.A in Economics and Public Health from Brandeis University in 2008, and his MSc from the London School of Economics in International Health Economics in 2012. Noah’s doctoral dissertation, titled “Essays on HIV in Rural KwaZulu-Natal, South Africa: Inference from Measurement to Policy,” explores three scenarios in rural South Africa in which HIV-related interventions may be non-optimal to the health of the target population by failing to capture important behavioral incentives and responses. This includes examining whether disability grant laws caused poor adherence to medications, piloting emerging methods of asking extremely sensitive in surveys, and better understanding health systems gaps by recasting the cascade of care as a longitudinal transition model.
In addition to his dissertation work, Dr. Haber led an independent, student-led project reviewing the quality of causal inference in public health research, called the Causal strength and language in health academia and in media sources (CLAIMS) study. That includes both the academic works themselves, as well as the public interpretation of them in traditional and social media. This collaborative project combines expertise across both epidemiology and econometrics and includes a core team from many of the major academic institutions in public health, including Johns Hopkins, the University of North Carolina, Boston University, Tufts University, and Harvard University.