In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …

Cloud computing has emerged as the preeminent computing platform for multiple
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …

Large language models (LLMs) do not distinguish between fact and fiction. They will return
an answer to almost any prompt, yet factually incorrect responses are commonplace. To …

Automation of the execution of computational tasks is at the heart of improving scientific
productivity. Over the last years, scientific workflows have been established as an important …

This special issue and our editorial celebrate 10 years of progress with data-intensive or
scientific workflows. There have been very substantial advances in the representation of …

Research process automation–the reliable, efficient, and reproducible execution of linked
sets of actions on scientific instruments, computers, data stores, and other resources–has …

The open science movement is promising to revolutionise the way science is conducted with
the goal to make it more fair, solid and democratic. This revolution is destined to remain just …

Scientific workflows are a cornerstone of modern scientific computing. They are used to
describe complex computational applications that require efficient and robust management …

We address the increasing complexity of scientific workflows in the context of high-
performance computing (HPC) and their associated need for robust, adaptable, and flexible …

Abstract In Operational Research conventional simulation practices typically focus on the
conceptualization, development and use of a single model simulated on a single computer …