一句话：提出融合系统文献综述、开放创新项目与NLP/LLM智能方案的产学研合作促进方法。
该工作针对产业与公共部门采用新技术高度依赖产学研及政府合作、研发项目在其中起关键作用的问题，提出通过系统文献综述（SLR/TSL）、开放创新项目，以及基于自然语言处理和大语言模型的智能解决方案来增强合作。目前已完成两项系统文献综述，开展了研发创新项目，并开发了两版MVP，目标是支持结构化信息共享，加强机构与研究者之间的互联。评估以阶段性成果和MVP迭代为主。
The adoption of new technologies in industry and the public sector is strongly influenced by collaboration among Industry, Academia, and Government. Research and Development initiatives play a central role in this process by driving digital transformation and fostering the creation of applied technologies. This work proposes the development of Systematic Literature Reviews (SLR and TSL), open innovation projects, and an intelligent solution based on Natural Language Processing and Large Language Models to enhance these collaborations. To date, two comprehensive SLRs have been completed, R&D innovation projects have been conducted, and two versions of an MVP have been developed, with the aim of enabling structured information sharing and strengthening the interconnectedness among institutions and researchers.
@inproceedings{paperbot11775,
title = {Intelligent Approach for Fostering Research Collaborations between Academia and Industry},
author = {Denis Marques and Cleyton Rodrigues and Wylliams Santos},
booktitle = {ICSE},
year = {2026},
doi = {10.1145/3774748.3787631}
}