Data Uncertain 2020 - a conference on understanding and quantifying uncertainty
It is said that your most important collaborator is yourself in 6 months. Perhaps the best way to improve our communication of data uncertainty to others is to learn how to better communicate to ourselves. What does it mean to say to future-you: “I don’t know”? Or, even more challenging, “I know a little but I’m not completely sure”? We will discuss in the context of applications in drug testing, election forecasting, and the evaluation of scientific research.
Speaker: Professor Andrew Gelman is a Professor of Statistics and Political Science and Director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application Award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of residents of Statistical Societies Award for outstanding contributions by a person under 40.
Visit DARE website to learn more about our research and PhD program.
darecentre.org.au/
#DataScience #Uncertainty #Statistics
Music: www.bensound.com