Cooperative Research Activities in a Cloud-Based Virtual Research Environment: From Notebooks to Workflows, Digital Twins, and AI Agents
Abstract
Research activities enhanced by advanced data science and AI technologies often require collaboration across multiple disciplines, bringing together domain experts, research software engineers, data scientists, and AI specialists. While research infrastructures provide a framework for managing and sharing research assets, such as data, software tools, and computing or storage resources, interactive programming environments like Jupyter and RStudio tend to focus on the individual researcher’s software needs, offering limited support for the co-creation of solutions to complex problems. In this paper, we discuss the requirements and technical challenges of supporting cooperative research activities in notebook environments, and explore collaborative features that enable the co-creation of scientific workflows for complex problems. This work is conducted within the Dutch LTER-LIFE project for building ecosystem …
Published as:
Z. Zhao,
W. Daniel Kissling,
G. M. Hengeveld,
I. N. Athanasiadis,
K. Soetaert,
A. F. Hof,
M. E. Visser,
Cooperative Research Activities in a Cloud-Based Virtual Research Environment: From Notebooks to Workflows, Digital Twins, and AI Agents,
2026, IEEE.
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