Scientific automation is at the forefront of enabling faster, more reproducible discoveries in AI, exascale computing, and distributed environments. The WISDOM workshop provides a platform for researchers, developers, and practitioners to discuss advances in autonomous workflow design, intelligent data management, and scalable and agentic 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 include, but are not limited to:

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

Program Committee

• Silvina Caino-Lores (INRIA)
• Amal Gueroudji (Argonne National Laboratory)
• Stephen Hudson (Argonne National Laboratory)
• Seth Ockerman (Argonne National Laboratory)
• Loïc Pottier (Lawrence Livermore National Laboratory)
• Raül Sirvent (Barcelona Supercomputing Center)
• Tyler Skluzacek (Oak Ridge National Laboratory)
• Paula Fernanda Olaya Garcia (Nvidia)
• Anna-Lena Lamprecht (University of Potsdam)
• Doriana Medici (University of Torino)
• Larisa Soldatova (Goldsmiths, University of London)
• Maciej Malawski (AGH University of Kraków)
• Julia Romanowska (University of Bergen)
• Jesus Carretero (University Carlos III de Madrid)
• Paolo Missier (University of Birmingham)