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 (tentative)

  • Paper Submission Deadline: June 20, 2025
  • Notification of Acceptance: July 10, 2025
  • Camera-Ready Deadline: July 24, 2025
  • Workshop Date: TBA during ICPP 2025 (September 8-11)

 

Submission Guidelines

Submissions should be 8 pages (including references), formatted according to the ICPP 2025 workshop proceedings style. Detailed submission instructions will be available on the ICPP 2025 Workshop website soon.

All submissions will receive at least three reviews. We strongly encourage authors to share code, data, and artifacts alongside their papers.

In conjunction with:


Organizers

Tainã Coleman (SDSC)

Jean Luca Bez (LBNL)


Steering Committee

Ilkay Altintas (SDSC)

Kyle Chard (U Chicago)

Rafael Ferreira da Silva (ORNL)