Combining both Randomized and Nonrandomized Variation in one Estimation
When and Where
Speakers
Description
The Toronto Data Workshop brings together academia and industry to share data science and AI best practice. We are broadly interested, but especially in the code- and data-centric aspects of a project that are often glossed over. We meet weekly for an hour and most talks are recorded.
Please join the event. Everyone is welcome—it is free and you do not need to be affiliated with the university.
About Rachel Glennerster
Rachel Glennerster is an Associate Professor of Economics in the Division of Social Science at the University of Chicago. She uses randomized trials to study democracy and accountability, health, education, microfinance, and women’s empowerment mainly in West Africa and South Asia. She has also written on strategies to stimulate innovation, promoting more equitable access to vaccines, and the response to Ebola and COVID-19 pandemics.