To know about how challenging “real-world” problems are solved … Attend the Wagner Prize presentations!!
Would you like to know how challenging “real-world” problems have been solved? Attend the Wagner Prize presentations on Monday!!!
Where you will hear about: a) Forecasting audiences in the 24/7 programming schedule, b) Freight transportation of bulk chemicals, c) Interpretable machine learning algorithms applied to Healthcare and Criminal Justice, d) Train Crew Scheduling for single-ended districts, e) A personalized approach to improve treatment outcome for diabetic patients, and f) Solving the Inmate Assignment and Scheduling Problem at the Pennsylvania Department of Corrections.
These excellent presentations are scheduled for the sessions on Monday at 11:00 -12:30, 1:30 – 3:00 and 4:30 – 6:00 in Room 352E.
The Wagner’s main criterion is innovative analytical methods, typically in the mathematical modeling or the solution methodology. Further, the Wagner explicitly assigns great importance to clear exposition, as observed in the written paper already given to the Wagner judges and in Monday oral presentations. The Wagner also considers proven impact, rather than focusing on the size of the impact.
Each session includes two presentation, a description of each session follows:
11:30 to 12:30
Lehigh University presents the Inmate Assignment and Scheduling Problem and its application in the Pennsylvania Department of Corrections.
Turner Broadcasting System, where they developed and implemented innovative, integrated forecasting and optimization models that forecast audiences in the 24/7 programming schedule.
1:30 – 3:00
BNSF Railways in collaboration with The University of Texas at Austin developed and implemented a system called Crew Decision Assist to support crew scheduling for single-ended districts at BNSF.
Researchers from Duke University and MIT will present their entry Optimized Scoring Systems: Towards Trust in Machine Learning for Healthcare and Criminal Justice.
4:30 – 6:00
Georgia Tech, in collaboration with Grady Health Systems and Morehouse School of Medicine worked on a drug-effect-based personalized approach to improve treatment outcome for diabetic patients.
Schneider National presents their solution to a complex problem of freight transportation that occurs in bulk chemicals transport.