Scheduled presentations:

• Keynote Data-driven approaches for simulation, modeling and control of complex fluid flows
  *A. Nair (University of Nevada Reno)
• Connecting modal decompositions with instantaneously present flow structures via explainable AI
  *B. Reyes (Universidad de Chile), A. Cremades (KTH Royal Institute of Technology), R. Vinuesa (KTH Royal Institute of Technology), B. Herrmann (Universidad de Chile)
• Cause-and-effect approach to reduced-order modeling of turbulence
  *Á. Martínez-Sánchez (Massachusetts Institute of Technology), A. Lozano-Durán (MIT/Caltech)
• Data-Driven Reduced Order Modeling of Extreme Events in Turbulent Flows
  *N. Zolman (University of Washington), S. Mokbel (University of Washington), S. Otto (Cornell University), N. Kutz (University of Washington), S. Brunton (University of Washington)
• A High Reynolds Number Data-Driven Modification to the Spalart-Allmaras Turbulence Model
  *C. Jordan (Sandia National Laboratories), M. Barone (Sandia National Laboratories), E. Parish (Sandia National Laboratories)