Don’t miss the opportunity to hear Star Statistics Professor Andrew Gelman (Columbia) speak at our Data Analytics Networking Night!! Andrew will be using examples from applied statistics to demonstrate how we learn from a good story when it refutes an idea we have about the world. Click on the text to see more
To sign up for this unique event or find out more information, visit our Meetup page.
Also presenting her latest research is rising star Shira Mitchell, from Harvard and Mathematica Policy Research. Shira will discuss work on evaluating the impact of United Nations's Millennial Villages Project.
Date: June 26, 2018, 6 - 8 pm
Venue: WeWork, 88 Broad Street, NYC
To register: Click here
Andrew Gelman is Higgins Professor of Statistics, Professor of Political Science and director of the Applied Statistics Center at Columbia University. His books include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, Data Analysis Using Regression and Multilevel/Hierarchical Models, Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do, and A Quantitative Tour of the Social Sciences. Among his numerous publications is an article in Slate critical of the "power pose" research, co-authored with Principal Analytics Prep founder, Kaiser Fung.
Shira Mitchell is a statistician at Mathematica Policy Research, where she works on surveys, small area estimation, and causal inference for health and labor policy. Shira received a PhD in biostatistics and a BA in mathematics from Harvard University. Her dissertation was a collaboration with the Human Rights Data Analysis Group, using hierarchical models to estimate the numbers of casualties in Colombia's armed conflict. She did her postdoctoral fellowship at Columbia University, working with Andrew Gelman and Jeffrey Sachs.