Project Events

These 2018 App Challenge contenders presented to peers before the finals.

Thursday, March 8, 2018  | ReTUNE Presentation

Image of Kate Schertz at a podiumPsychology 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

View pdf of the poster

 

 

 

Thursday, April 5, 2018 | APT Presentation

Photo of Orrin Murray presenting APTIT 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

Detailed poster of the APT projectMindbytes poster competition
Ida Noyes Hall

View pdf of the poster

 

 

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

Photo of John LockhartPresentation 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).