Project Events
These 2018 App Challenge contenders presented to peers before the finals.Thursday, March 8, 2018 | ReTUNE Presentation
Psychology Department Cognitive Workshop
Harper Memorial Library
Kate Schertz presented the ReTUNE MVP to her colleagues in the psychology department. She went over the research and thinking behind the app and fielded questions from her colleagues about how it will calculate restorative pedestrian routes in Hyde Park.
Tuesday, May 7, 2018 | Mindbytes
Mindbytes poster competition
Ida Noyes Hall
Thursday, April 5, 2018 | APT Presentation
IT Services TechTalk
Ryerson
Orrin Murray and Frank Greco highlighted efforts made over the last year to advance our understanding of applying cognitive computing applications in support of improving the everyday pedagogical practices of teachers. They addressed challenges along the way, such as trying to ascertain speaker behavior from classroom transcripts, how the application of heuristic and analytic/machine learning methods (in a series of short experiments) led them into the field of discourse analysis, and how they developed a deeper appreciation of the problems they need to solve in future work.
Tuesday, May 7, 2018 | Mindbytes
Mindbytes poster competition
Ida Noyes Hall
Thursday, April 12, 2018 | EngAGE Presentation
Presentation to peers
Billings
Megan Huisingh-Scheetz, MD, presented the application and demonstrated its use via the Amazon Echo. She elaborated on many of the obstacles her team faced behind the scenes to keep the project moving forward, such as recruiting testers and procurement challenges.
Monday, May 21, 2018 | BetRight Presentation
Presentation to peers
Polsky Exchange | Washington Park Room
Chicago Booth alumnus John Lockhart presented his thinking behind the BetRight application, which seeks to provide users with smart betting suggestions based on economic research into human bias and real-time tote board data. John noted that the idea developed as a result of research done by Richard Thaler, his former Chicago Booth professor and Nobel Prize winner in Economics. He explained that BetRight doesn’t predict which horse will Win, Place or Show; instead, the app can recommend the highest payouts in the event of a Place or Show. John also illuminated some of the challenges he’s encountered along the way, such as licensing costs for the OCR technology, the time it takes to get the app to process tote board image data, and the maximum number of horses that the application can handle (currently, 11).