How Much Evidence Do You Need 18th Henry W. Kendall Lecture

How Much Evidence Do You Need? Data Science to Inform Environmental Policy During the COVID-19 Pandemic Please join us for a thought-provoking evening with Francesca Dominici, Co-Director of the Harvard Data Science Initiative and the Clarence James Gamble Professor of Biostatistics, Population and Data Science at the Harvard T.H. Chan School of Public Health. _______________________________________ On December 7, 2020, the New York Times reported that President Trump declined to tighten soot rules. This was despite strong evidence of the adverse health effects including a link to COVID-19 deaths. In this talk, Professor Dominici will provide an overview of data science methods, including methods for causal inference and machine learning, to inform environmental policy. This is based on her work analyzing a data platform of unprecedented size and representativeness. The platform includes more than 500 million observations on the health experience of over 95% of the US population older than 65 years old link