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

Program

Time (PDT)	Event
9:00-9:05am	Workshop Opening Remarks
9:05-10:00am	Keynote: Toward fully autonomous workflows: handling errors and failures and how AI can help? Dr. Fred Suter (Oak Ridge National Laboratory)
10:00-10:20am	Paper: Automation and Collaboration in Complex Epidemiological Workflows with OSPREY J. Ozik, N. Collier, A.Fadikar, J. Wozniak, V. Hayot-Sasson, K. Conroy, K. Chard, J. Wentz, E. Acquesta, J. Ray
10:20-11:00am	Coffee Break
11:00-11:20am	Paper: A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery R. Ferreira da Silva, M. Abolhasani, D. A. Antonopoulos, L. Biven, R. Coffee, I. T. Foster, L. Hamilton, S. Jha, T. Mayer, B. Mintz, R. G. Moore, S. Nimer, N. Paulson, W. Shin, Frédéric Suter, M. Taheri, M. Taufer, N. R. Washburn
11:00-11:20am	Paper: Provenance Tracking in Large-Scale Machine Learning Systems G. Padovani, V. Anantharaj, S. Fiore
11:40-12:30pm	Discussion: What would it take to make scientific workflows fully autonomous, where no human intervention is needed from data collection to publication?
12:30-2:00pm	Lunch Break
2:00-2:20pm	Paper: Bundled for Success: A WfBench-Driven Assessment of Texera M. Wang, S. Jahangiri, K. Maheshwari, C. Li
2:20-2:40pm	Paper: An LLM-enabled Workflow for Understanding and Evolving HPC Scheduling Practices A. Borch, K. Maheshwari, J. Wozniak, R. Ferreira da Silva
2:40-3:00pm	Paper: Enabling Command-and-Control in Advanced In Situ Workflows K. Mehta, E. Suchyta, F. Suter, A. Gainaru, N. Podhorszki, S. Klasky
3:00-3:30pm	Discussion: As we automate more of the scientific process, how do we ensure transparency, accountability, and equity?
3:30-4:00pm	Coffee Break
4:00-5:00pm	Panel: Should we optimize scientific workflows for performance, cost, or scientific insight, and can we truly balance all three? R. Ferreira da Silva, F. Suter, J. Ozik

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.