Day 1: April 26th
| 
         UTC  | 
      
         Title  | 
      
         Speakers  | 
    
| 
         13:00  | 
      
         Study Group Chairs’ welcome address  | 
      
         V. Lurkin and D. Buitendijk (SG Chairs)  | 
    
| 
         13:05  | 
      
         President’s welcome address  | 
      
         Laurie Garrow (AGIFORS President)  | 
    
| 
         13:10  | 
      
         Choice Based Revenue Management Systems Simulation  | 
      
         Mitsuyoshi Fukushi (Pontificia Universidad Católica de Chile)  | 
    
| 13:30 | Continuous Markov Chain Choice for Schedules | Jonas Rauch (PROS) | 
| 14:00 | Total Revenue Optimization Approaches with the Markov Chain Choice Model | Kevin Wang (Massachusetts Institute of Technology) | 
| 
         14:30  | 
      
         Break  | 
      |
| 
         15:00  | 
      
         Product and Ancillary Pricing Optimization: Market Share Analytics via Perturbed Utility Model  | 
      
         Changchun Lia (National University of Singapore)  | 
    
| 15:20 | A Heuristic for Incorporating Ancillaries into Air Choice Models with Personalization | Michal Sznajder, Richard Ratliff (Sabre) | 
| 16:00 | Closure Day 1 | V. Lurkin and D. Buitendijk (SG Chairs) | 
Day 2: April 27th
| 
         UTC  | 
      
         Title  | 
      
         Speakers  | 
    
| 
         13:00  | 
      
         Study Group Chairs’ welcome address  | 
      
         V. Lurkin and D. Buitendijk (SG Chairs)  | 
    
| 
         13:05  | 
      
         Competitive Pricing in Airline Revenue Management (CARM) with Multi-agent Reinforcement Learning  | 
      
         Peng Wei (George Washington University), Syed A.M. Shihab (Kent State University)  | 
    
| 13:30 | Machine Learning meets Causal Inference: A Hybrid Framework for Price Sensitivity Estimation | 
      Ravi Kumar, Shahin Boluki (PROS) | 
| 14:00 | Predicting Airline Passenger No-Show with Machine Learning & PNR Features for Revenue Optimization | 
      Cindy Yao, Alan Regis (Air Canada) | 
    
| 
         14:30  | 
      
         Break  | 
      |
| 
         15:00  | 
      
         Are You Ready to Skip Demand Forecasting? A Neural Network based Adaptive Approach to Revenue Management  | 
      
         Ezgi Eren (PROS)  | 
    
| 15:25 | From Passive to Active Learning: Improving Forecast Quality and Revenue through Price Experimentation | Mike Wittman, Thomas Fiig (Amadeus IT Group) | 
| 15:55 | Fare Structure Optimisation using Agent-Based Modeling and Bayesian Optimization | Javier Jimenez (Airnguru) | 
| 16:30 | Closure Day 2 | V. Lurkin and D. Buitendijk (SG Chairs) | 
Day 3: April 28th
| 
         UTC  | 
      
         Title  | 
      
         Speakers  | 
    
| 
         13:00  | 
      
         Study Group Chairs’ welcome address  | 
      
         V. Lurkin and D. Buitendijk (SG Chairs)  | 
    
| 
         13:05  | 
      
         Market-Based and Policy-Based Conditional Demand Forecasting Method   | 
      
         Tim Yuxuan Lu (Massachusetts Institute of Technology)  | 
    
| 13:30 | Multi-itinerary market adaptive dynamic pricing  | 
      Octavian Oancea (Sabre) | 
| 13:55 | Continuous is the new black An efficient framework aligned with continuous pricing for joint optimization of fares across competing itineraries | Burak Ozdaryal, Anubhav Jain, Indrajit Chatterjee, Bazyli Mikolaj Szymanski (United Airlines) | 
| 
         14:30  | 
      
         Break  | 
      |
| 
         15:00  | 
      Come One Come All: Sharing Data Across Airlines is a Positive-Sum Game | 
         Ross Winegar (PROS)  | 
    
| 15:20 | Revenue Management with Multiple Flexible Products: Downgradables, Upgradables and Callables  | 
      Dhandabani S.R.K Amit (Indian Institute of Technology Madras) | 
| 15:45 | Cargo Show-Up Rate Prediction  | 
      Gurveen Kaur (Sabre) | 
| 16:15 | Closure Day 3 | V. Lurkin and D. Buitendijk (SG Chairs) |