Urgent Analytics refers to a class of time-critical scientific applications that that leverage distributed data sources to provide real-time insights and decision-making capabilities. Examples of urgent applications span various domains including, but not limited to, emergency response systems, weather forecasting, fire science and disease outbreak detection. The overall goal of Urgent Computing is to predict the outcome of such scenarios early enough to mitigate their negative consequences.

The 2nd International Workshop on Urgent Analytics for the Computing Continuum (QUICK'24) seeks scientific contributions that leverage on-demand computational resources across IoT, Edge, Cloud and HPC, also known as the Computing Continuum, to support critical analytics applications.

Important Dates

Paper Submission Deadline (firm): Feb 9, 2023 AoE
Author Notification: Feb 23, 2024
Camera ready papers: March 4, 2024
Workshop: May 6, 2024


We are looking for original high-quality research on urgent applications across the continuum where real-timeliness, reliability and scalability are the main factors to pursue. Topics in the following areas are of particular interest, plus others that are not explicitly listed but are closely related:


This workshop is organized by Daniel Balouek (INRIA, France) and Manish Parahar (University of Utah, USA).

Previous Editions

1st International Workshop on Urgent Analytics for Distributed Computing co-located with Euro-Par 2023 (August 28, Limassol, Cyprus)