[Session 4] [Outline] [Session 6]

Session 5 - Data Crunchers with Betty Hurley-Dasgupta & Marj Robison

Betty Hurley-Dasgupta and Marj Robison


 Betty Hurley-Dasgupta and Marj Robison are basing this seminar on the book written by Ian Ayres in 2007, called Super Crunchers.”  In this book, he talks about the “art of quantitative prediction” through the analysis of large data sets.  So much of what we do these days is recorded and, with improved computer systems and software, this information can be used to gain impressive insights. In fact, Ian suggests that data crunching can provide better predictions than experts in the area.

 During the session, we’ll provide some examples to demonstrate how data crunching works. We’ll discuss some of the underlying mathematics, including techniques for randomization and a common statistical technique for prediction. And, we’ll introduce some questions that Ian raises about data crunching.

 One does not need to have read the book to participate in this seminar. However, we do suggest watching some of the videos listed in the resource area.

 Reading, Viewing and Listening Materials

A Super Cruncher Example

Math Vids

Super Cruncher with Data Analysis

Playing to Win

Perfect Tennis Serve Data

The Monty Hall Problem

Me, Myself and Math

Medical Data Mining

Google Data Center

Facebook Data for Election


Time:8:00 p.m. Moscow; 5:00 p.m. London; 12 noon New York; 9:00 a.m. Los Angeles; midnight Thursday Beijing


Ask 10 people the following question: boxers or briefs? (either what you wear or what you like men to wear)

Tweet your answers to #underpoll.  After 5 days, search for #underpoll, collect the data and make a graph.  Are you surprised?

[Session 4] [Outline] (Session 6]