+<p>The workshop focuses on managing distributed workflows in eScience, encompassing a broad spectrum of topics essential for interoperability and efficiency. This includes exploring design patterns, languages, and orchestration tools tailored to the specific needs of eScience high-performance applications. Additionally, researchers delve into scheduling algorithms, fault tolerance mechanisms, performance monitoring, and benchmarking procedures to ensure the smooth functioning of distributed workflows across diverse scientific domains.<br>Emphasizing the concept of FAIRness (Findable, Accessible, Interoperable, and Reusable), the workshop encourages contributors to explore this crucial aspect of eScience. Methodologies and tools are discussed to ensure data and computational resources are discoverable, accessible, and usable across various platforms and research communities. Privacy and security considerations, particularly concerning sensitive scientific data, are integral components open for discussion during the workshop.</p>
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