WISDOM 2025

WORKSHOPS  > WISDOM 2025

1st Workshop on Workflows, Intelligent Scientific Data, and Optimization for Automated Management
WISDOM 2025

Monday - Sep 08, 2025
San Diego, CA, USA

Scientific automation is at the forefront of enabling faster, more reproducible discoveries in AI, exascale computing, and distributed environments. The WISDOM workshop invites contributions that explore how intelligent workflows and data-driven techniques can push the boundaries of automated science.

WISDOM provides a platform for researchers, developers, and practitioners to discuss advances in autonomous workflow design, intelligent data management, and scalable automation techniques. We are especially interested in innovative methods that integrate AI/ML to enhance the flexibility, efficiency, and reliability of scientific processes across heterogeneous environments.

Topics of Interest (including but are not limited to):

• AI/ML-Driven Workflow Automation
• Autonomous Experimental Control and Self-Driving Labs
• Metadata Management and Provenance for Automation
• Multi-Facility Workflow Orchestration
• Digital Twins and Simulation-Based Workflows
• Workflow Performance Optimization and Fault Tolerance
• Time-Sensitive and Real-Time Scientific Workflows
• Human-in-the-Loop Automation
• Dynamic Data Management and Active Decision-Making
• Domain-Specific Scientific Workflow Applications
• Convergence of AI and Scientific Simulations
• Heterogeneous Computing for Workflow Automation

Important Dates

• Paper Submission Deadline: June 20 June 30, 2025
• Notification of Acceptance: July 10 July 16, 2025
• Camera-Ready Deadline: July 30 July 30, 2025
• Workshop Date: September 8, 2025

Submission Guidelines

Submissions should be 8 pages (including references), following the ACM SigConf format found at: https://www.acm.org/publications/proceedings-template.

All submissions will receive at least three reviews. All submissions will be single-blind peer reviewed.

Selected full papers will receive a slot for an oral presentation. We strongly encourage authors to share code, data, and artifacts alongside their papers.

Program Committee

• Silvina Caino-Lores (INRIA)
• Jared Coleman (LMU)
• Rosa Filgueira (EPCC, The University of Edinburgh)
• Amal Gueroudji (ANL)
• Stephen Hudson (ANL)
• Seth Ockerman (ANL)
• Loïc Pottier (LLNL)
• Raül Sirvent (BSC)
• Tyler Skluzacek (ORNL)
• Patrick Widener (ORNL)