UW-Green Bay is working in partnership with leading experts to make available a speaker series that demonstrates how to utilize big data in creative and powerful ways. The speaker series will take place virtually on Zoom from 5-6 p.m. CST to enable working professionals to attend.
September 29, 5-6 p.m.
Dan Adler, Assistant General Manager, Minnesota Twins – Statistical Science
Dan will apply statistical analysis to psychological decisions. You will learn how ― as humans ― we make flawed and unflawed decisions based on our bias and the data around us.
October 20, 5-6 p.m.
Bret Myers, Analytics Consultant & Professor of Practice, Villanova University – Data & Team Sports Decisions
After a review of his soccer analytics background, Bret will share how he uses data to drive better team sports decisions, including how data can help prevent athlete injuries and predict team success.
October 27, 5-6 p.m.
Lamarr Banks, Community Manager, Urban Hub – Succeeding as an Entrepreneur
Lamarr will share his story of business and entrepreneurship, describing his current role at the Urban Hub and explaining how he works in the community to strategically help creative business professionals succeed.
November 17, 5-6 p.m.
Ryan Lussky, Business Intelligence Analyst, Altra Federal Credit Union – Twitter Case Study: Sentiment Analysis
When Twitter accepted Elon Musk’s offer to purchase, mainstream media reported polarizing views. Starting the day after the buyout announcement, 70,000 tweets with the hashtag “elonmusk” were collected, cleaned and analyzed using Python. Ryan will share details and results of this inventive sentiment analysis project on Twitter that reveals attitudes around free speech.
November 30, 5-6 p.m.
Adam Charnin-Aker, Assistant Director, Pro Scouting, New York Yankees – Scouting for Talent with Data
Adam will share his experiences in scouting and evaluating baseball talent. He will describe how he combines data and in-person looks to try to find winning ballplayers from across the globe. In addition, Adam will discuss the operations and business uses of data.
