COLLABORATIVE EFFORTS IN SCIENCE AND TECHNOLOGY WITHIN HIGHER EDUCATION INSTITUTIONS INSIGHTS AND REFLECTIONS

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Quyen Minh Hoang

Abstract

In today's era of extensive international integration, collaboration in the realm of education and science and technology is undeniably essential within higher education establishments. Specifically, both bilateral and multilateral cooperative efforts in science and technology are being increasingly highlighted and encouraged in various forms. This article delves into the landscape of scientific and technological collaboration within higher education institutions, exploring the frameworks, experiences, and lessons learned from various perspectives. The development of science and technology stands as a cornerstone in the global integration agenda, with nations around the world emphasizing the importance of diversified and multilateral cooperation. Vietnam, in its pursuit of scientific excellence and technological prowess, has embraced international integration schemes and policies aimed at enhancing cooperation and investment in the realm of science and technology. This commitment is reflected in governmental decisions, policies, and strategic plans that underscore the significance of collaboration in research, development, and knowledge dissemination. Furthermore, international experiences, particularly from countries like Germany, the Czech Republic, Sweden, and China, offer valuable insights into different models of collaboration between higher education institutions, businesses, and research entities. These models encompass a spectrum of activities ranging from institutional exchanges, student programs, and scientific workshops to in-depth research partnerships and technology transfer initiatives. The article also delves into regional collaboration experiences, highlighting exemplary institutions such as Hanoi National University and the University of Labor and Social Affairs, showcasing their achievements, policies, and strategic initiatives in fostering collaborative endeavors in science and technology. Through case studies and analysis, we aim to extract lessons, best practices, and recommendations that can further enhance collaborative frameworks, communication channels, and resource utilization in the pursuit of scientific advancements and technological innovations. By examining the intersection of academia, industry, and international partnerships, this article aims to contribute to the ongoing discourse on effective strategies for promoting collaboration, knowledge exchange, and technology transfer within higher education ecosystems.

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References

Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The Semantic Web: A New Form of Web Content That Is Meaningful to Computers Will Unleash a Revolution of New Possibilities. Scientific American, 284, 29–37.

Chen, F. (2013). S&T Collaboration Platform for Higher Education Institutions and Industry: a Case Study of Wenzhou, China. Inzinerine Ekonomika-Engineering Economics.

Chui, M., Manyika, J., Miremadi, M., Henke, N., Chung, R., Nel, P., & Malhotra, S. (2018). Notes from the AI Frontier: Applications and Value of Deep Learning. Technical Report, April 2018. New York: McKinsey Global Institute. www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning.

Crevier, D. (1993). AI: The Tumultuous Search for Artificial Intelligence. New York: BasicBooks.

Finnveden, G., Newman, J., & Verhoef, L. A. (2019). Sustainable Development and Higher Education: Acting with a Purpose. Sustain, 11(14), 3831. doi: 10.3390/su11143831.

Kiselova. (2020). International Cooperation among Tertiary Educational Institutions: Trends and Prospects. International Journal of Higher Education, 9(7), 356-366.

Scruton, R. (1996). The eclipse of listening. The New Criterion, 15(3), 5–13.

Sungjoo, L., & Gwangman, P. (2010). Open Innovation in SMEs---An Intermediated Network Model. Research Policy, 39(2), 290-300.

Trang, P. H. (2017). Trường Đại học Lao động-Xã hội, Liên kết giữa trường đại học với viện nghiên cứu và doanh nghiệp trong hoạt động khoa học và công nghệ. JSTPM, 6(1), 2017.

Yamazaki, T., Miura, T., Sakata, I. (2022). Undefined. 2022 IEEE International Conference on Big Data (Big Data), (6109-6118), doi: 10.1109/BigData55660.2022.10020326.

Zweben, S., & Bizot, B. (2017). Computer Research Associates 2017 Taulbee Survey. Washington, DC: Computing Research Association. Berners-Lee, T., Hendler, J., & Lassila, O. (2001).