We invite you to submit both full and hot-topic research papers detailing original work in the area of using HPC for making urgent decisions. Topics of interest for workshop submissions include (but are not limited to):

• Example use-cases and case-studies that use HPC for urgent decision making
• Techniques for integrating HPC workflows with real-time data
• Approaches to verify and validate unreliable real-time data, for instance from sensors, IoT and satellites
• System design for data reduction and pre-processing at source, for instance using edge computing and heterogeneous resources such as FPGAs
• The use of data formats and conversion techniques to support the handling of data from numerous and diverse sources
• Algorithmic techniques to guarantee result generation in specific time frames, such as result refinement which generates more accurate results as time progresses
• Studies of leveraging HPC for workloads with real-time time constraints
• Changes to existing HPC technologies and policies that are required to support using HPC interactively
• The ability for HPC codes to adapt their resource requirements dynamically, for instance via elastic compute
• Visualisation and presentation techniques to support rapid and accurate urgent decision making by the end user
• Reduction and feature extraction of results to highlight critical issues of interest
• Complimenting results with provenance data for additional context and certainty
• Data analysis techniques for making urgent decisions in response to disasters