Evolving Practices in Distributed R&D&I Projects: Bridging Academia and Industry Through Lightweight Collaboration

This presentation reports the best practices and methods adopted by the Alan Turing Lab (ATLab) research group in the past years, running distributed research, development, and innovation (R&D&I) projects with a global industry partner. This work highlights the software engineering processes thatwere iteratively refined through years of collaboration.We also share insights in two domains where our researchers stand out: Visualization and Artificial Intelligence. This report may be useful for research groups and organizations beginning to engage in innovation partnerships.

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Publication Details

Published
2025-09-22
DOI
https://doi.org/10.5753/sbes.2025.11719
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
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article

Evolving Practices in Distributed R&D&I Projects: Bridging Academia and Industry Through Lightweight Collaboration

Gene expression and cancer classification
article

Evolving Practices in Distributed R&D&I Projects: Bridging Academia and Industry Through Lightweight Collaboration

article en

Abstract

This presentation reports the best practices and methods adopted by the Alan Turing Lab (ATLab) research group in the past years, running distributed research, development, and innovation (R&D&I) projects with a global industry partner. This work highlights the software engineering processes thatwere iteratively refined through years of collaboration.We also share insights in two domains where our researchers stand out: Visualization and Artificial Intelligence. This report may be useful for research groups and organizations beginning to engage in innovation partnerships.

United Food and Commercial Workers (US), DELL (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Gene expression and cancer classification
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