Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence

Yuzhuo Cai, Borja Ramis Ferrer, José L. Martínez Lastra · 2019 · Sustainability

Summary. This paper addresses weak connections between transnational industry and university cooperation in innovation ecosystems. The authors propose matching industrial firms across countries through shared university partnerships, combining social science theory with machine learning techniques. Using EU-China science and technology cooperation as a case study, they demonstrate how integrating innovation studies and social network analysis with artificial intelligence can strengthen synergies between industry and university actors in transnational innovation networks.

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@article{cai-2019-building-university-industry-co-innovation,
  title   = {Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence},
  author  = {Yuzhuo Cai and Borja Ramis Ferrer and José L. Martínez Lastra},
  journal = {Sustainability},
  year    = {2019},
  doi     = {10.3390/su11174633},
  url     = {https://doi.org/10.3390/su11174633}
}

TY  - JOUR
TI  - Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence
AU  - Yuzhuo Cai
AU  - Borja Ramis Ferrer
AU  - José L. Martínez Lastra
JO  - Sustainability
PY  - 2019
DO  - 10.3390/su11174633
UR  - https://doi.org/10.3390/su11174633
ER  - 

Details

DOI

10.3390/su11174633

Countries

China, European Union

Regions

Asia

Categories

innovation-networks, regional-innovation-systems, general-innovation

Added

2026-04-28