Dr Kai Ruggeri is an Assistant Professor in the Department of Health Policy & Management. Kai joined Columbia from the Department of Psychology at the University of Cambridge, where he directed the Policy Research Group that he founded in 2013. He studies how policy influences population behavior, and how integrating behavioral evidence into policies can improve economic outcomes and population well-being. His teaching is primarily in analytics, decision-making, behavioral policy, and managerial economics. His current projects involve a number of behavioral policy studies focusing on large-scale data related to economic choices and related outcomes. Partners include local and national governments, non-profit organizations, industry, and other academic institutions, in New York, various parts of the US, and abroad. He is a Senior Fellow at the Centre for Business Research at the Judge Business School and Fellow of Corpus Christi College, Cambridge, as well as a Fellow of the Royal Statistical Society. Kai also directs the Junior Researcher Programme, a global initiative for early career behavioral scientists.
Director, Global Behavioral Science
Select Urban Health Activities
Nudging New York: Federally funded healthcare centers provide medical care to more than 20 million Americans who live in impoverished areas. Yet in many of those areas, nearly half the patients who make medical appointments at the centers are unable to keep their appointments. Data show that patient no-shows, and the missed opportunities for needed medical care, place an enormous health burden on disadvantaged communities. No-shows, for example, increase the likelihood that patients will eventually visit emergency rooms and be hospitalized for conditions that could have been caught and treated at clinics. As such, even small decreases in no-show rates at community healthcare clinics will improve the health of vulnerable populations and reduce the nation's medical costs. This research team intends to do precisely that Ã¢â‚¬â€œ reduce missed appointments at community clinics Ã¢â‚¬â€œ by using big data and Bayesian machine learning techniques to understand why patients miss appointments and what can be done to help them keep them. The researchers have partnered with the Community Healthcare Network, a federally funded clinic in New York City serving disadvantaged communities.
Select Global Activities
Ruggeri, K., AlÃ, S., Berge, M. L., Bertoldo, G., BjÃ¸rndal, L. D., Cortijos-Bernabeu, A., ... & Gibson, S. P. (2020). Replicating patterns of prospect theory for decision under risk. Nature Human Behaviour, 1-12.
Ruggeri, K., van der Linden, S., Wang, Y. C., Papa, F., Riesch, J., Green, J. (2020). Standards for evidence in policy decision-making. Nature Research Social and Behavioural Sciences, 399005. go.nature.com/2zdTQIs
Ruggeri, K., Folke, T., Benzerga, A., Verra, S., Büttner, C., Steinbeck, V., ... & Chaiyachati, K. (2020). Nudging New York: adaptive models and the limits of behavioral interventions to reduce no-shows and health inequalities. BMC Health Services Research, 20, 1-11.
Ruggeri, K. (2019). Behavioral insights for public policy: Cases and concepts. Routledge.
Huppert, F., & Ruggeri, K. (2018). 15. Policy challenges: Well-being as a priority in public mental health. In D. Bhugra, K. Bhui, S. Wong, & S. Gilman (Eds.), Oxford Textbook of Public Mental Health. Oxford University Press.
Ruggeri, K., Yoon, H., Kacha, O., van der Linden, S., & Muennig, P. (2017). Policy and population behavior in the age of Big Data. Current Opinion in Behavioral Science, 18, 1-6.