Second Saturday Conversation: Sabermetrics and the Empirical Analysis of Baseball
April 11, 11:00 am - 12:00 pm
Image: Dr. Daniel Mack in the Library’s Rare Book Reading Room in 2016. Photograph by Jon Ratliff.Register for Free E-tickets
About Second Saturdays
Second Saturday Conversations feature interesting sci-tech and engineering speakers and topics in an informal setting. The programs are held in the Auditorium or Main Reading Room from 11:00 a.m. to Noon.
The exhibition galleries and the William N. Deramus III Cosmology Theater are open 10:00 a.m. to 2:00 p.m. on the second Saturday of each month. Free admission and parking. Reference, research, and circulation services are not available on Second Saturdays.
The April 11 lecture
Sabermetrics, the empirical analysis of baseball statistics, has become an integral part of scouting and player development in Major League Baseball. But what, exactly, do WAR, OPS, wRC+, BABIP and all the new stats really mean? And how are these statistics used to evaluate players and to make in-game decisions? Find out from Kansas City Royals front office executive Dr. Daniel Mack, who is beginning his sixth season with the team.
About the speaker
Dr. Daniel Mack is Assistant General Manager-Research and Development with the Kansas City Royals. He works closely with the entire Baseball Analytics staff to assist with quantitative research and development of analytics in support of all areas of Baseball Operations.
Prior to accepting a job with the Royals in 2013, Dr. Mack earned a PhD in computer science from Vanderbilt University, where his dissertation focused on machine learning and anomaly detection. While pursuing his doctorate, Daniel worked as a research assistant at the Institute for Software Integrated Systems where he and his research group won the NASA Associate Administrator Award for Technology and Innovation for work combining machine learning with fault diagnosis. He was also a teaching assistant while completing his master’s degree in computer science with a concentration in machine learning at Columbia University in New York. Dr. Mack graduated with a bachelor’s degree in computer science from the University of Notre Dame in 2006.
The event is free and open to the public; however, e-tickets are required.
Parking is free in Library parking lots and along the west side of Holmes Street between 51st and 52nd streets. The main entrance to the Library grounds is on Cherry Street. The Linda Hall Library is not affiliated with UMKC. Parking in all UMKC lots is by permit or meter.