Translating research through the National University of Singapore campus as a living laboratory

Thomas Chee Tat Ho , George Chee Ping Loh

Applied Computing and Intelligence ›› 2025, Vol. 5 ›› Issue (1) : 82 -93.

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Applied Computing and Intelligence ›› 2025, Vol. 5 ›› Issue (1) :82 -93. DOI: 10.3934/aci.2025006
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Translating research through the National University of Singapore campus as a living laboratory
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Abstract

Campus as a Living Lab at the National University of Singapore is an initiative to bridge technologies from academia to industry across the valley of death [1]. The valley of death is the gap between research & development and translation & commercialization where many favorable innovations disappear. It poses significant challenges for academics, researchers, developers, and startups. If carefully resourced and shepherded, it will see real-world deployment for commercially viable products or services from academic laboratories. The university has put forth its campus grounds, infrastructure, and equipment to support this. The university has also developed its digital twin to assess each project’s feasibility, which will be test bedding technologies under the living lab framework. This paper will discuss in detail the digital twin, evaluation criteria, validation processes, and the two ongoing projects. It also will describe how the digital twin was accurately modeled and created, as well as how it was used to assist in the feasibility studies of each project. To cross the valley of death, the university has established the strategies and partnership framework to successfully bring research-driven innovations into impactful market-ready technologies and capabilities. We will invite more companies to adopt academic research for real-world deployment.

Keywords

digital twin / simulation / resource management / optimization

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Thomas Chee Tat Ho, George Chee Ping Loh. Translating research through the National University of Singapore campus as a living laboratory. Applied Computing and Intelligence, 2025, 5 (1) : 82-93 DOI:10.3934/aci.2025006

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References

[1]

S. Nwaka, Technology readiness levels, the valley of death and scaling up innovations, In: Social and technological innovation in Africa, Singapore: Palgrave Macmillan, 2021, 99-107. https://doi.org/10.1007/978-981-16-0155-2_7

[2]

The Business Times, Singapore spending S$25b in next five-year R and D plan, SPH Media, 2020. Available from: https://www.businesstimes.com.sg/singapore/economy-policy/singapore-spending-s25b-next-five-year-rd-plan.

[3]

National Research Foundation Singapore, Technology and Research, National Survey of Research, Innovation and Enterprise in Singapore 2021, Agency for Science, Technology and Research (A*STAR), 2024. Available from: https://www.a-star.edu.sg/docs/librariesprovider1/default-document-library/rie/2021-rie-survey-publication_finalforpublication_amended.pdf.

[4]

M. Teo, A. Loo, K. Leong, Economic Survey of Singapore: Third Quarter 2019, Ministry of Trade and Industry Republic of Singapore, 2019. Available from: https://www.mti.gov.sg/-/media/MTI/Resources/Economic-Survey-of-Singapore/2019/Economic-Survey-of-Singapore-Third-Quarter-2019/FullReport_3Q19.pdf.

[5]

P. Wong, Y. Ho, A. Singh, The impact of R&D on the Singaporean economy over 1978-2019, Singap. Econ. Rev., in press. https://doi.org/10.1142/S0217590823500480

[6]

P. Wong, The development of Singapore’s innovation and entrepreneurship ecosystem, In: Clusters of innovation in the age of disruption, Cheltenham: Edward Elgar Publishing, 2022, 206-244. https://doi.org/10.4337/9781800885165.00019

[7]

Ministry of Finance, Economy and Labour Market: Sustaining Singapore’s global relevance and competitive edge, Government of Singapore, 2024. Available from: https://spor.performancereports.gov.sg/businesses/strong-and-resilient-economy/economy-and-labour-market.

[8]

T. Tat, G. Ping, Innovating services and digital economy in Singapore, Commun. ACM, 63 (2020), 58-59. https://doi.org/10.1145/3378554

[9]

The University Campus Infrastructure (UCI) cluster of offices, Smart Safe Sustainable, National University of Singapore, 2019. Available from: https://uci.nus.edu.sg/wp-content/uploads/2024/03/Annual-report-2019-FINAL-BLUE.pdf.

[10]

M. Batty, Digital twins, Environ. Plan. B-Urban, 45 (2018), 817-820. https://doi.org/10.1177/2399808318796416

[11]

Y. Jiang, S. Yin, K. Li, H. Luo, O. Kaynak, Industrial applications of digital twins, Phil. Trans. R. Soc. A, 379 (2021), 20200360. https://doi.org/10.1098/rsta.2020.0360

[12]

M. Juarez, V. Botti, A. Giret, Digital twins: review and challenges, J. Comput. Inf. Sci. Eng., 21 (2021), 030802. https://doi.org/10.1115/1.4050244

[13]

A Følstad, Living labs for innovation and development of information and communication technology: a literature review, Electronic Journal of Organizational Virtualness, 10 (2008), 99-131.

[14]

M. Hossain, S. Leminen, M. Westerlund, A systematic review of living lab literature, J. Clean. Prod., 213 (2019), 976-988, https://doi.org/10.1016/j.jclepro.2018.12.257

[15]

P. Tay, N. Wang, TCI 2015 Innovation Clusters-a National Strategy to Build Technology Capabilities in Singapore, SlideShare from Scribd, 2015. Available from: https://www.slideshare.net/slideshow/tci-2015-innovation-clusters-a-national-strategy-to-build-technology-capabilities-in-singapore/54947121.

[16]

R. Takken, One generic viewer for all current data types, GeoInformatics, 17 (2014), 44.

[17]

T. Ho, R. Yu, J. Lim, P. Fränti, Modelling implications & impacts of going green with EV in Singapore with multi-agent systems, Proceedings of Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, 2014, 1-6. https://doi.org/10.1109/APSIPA.2014.7041769

[18]

W. Yang, T. Ho, L. Xiang, C. Chai, R. Yu, An overview and evaluation on demand response program in Singapore electricity market, Proceedings of IEEE Conference on Energy Conversion (CENCON), 2014, 61-66. https://doi.org/10.1109/CENCON.2014.6967477

[19]

H. Altalib, ROI calculations for electronic performance support systems, Perform. Improv., 41 (2002), 12-22. https://doi.org/10.1002/pfi.4140411005

[20]

B. Boehm, R. Valerdi, E. Honour, The ROI of systems engineering: some quantitative results for software-intensive systems, Systems Eng., 11 (2008), 221-234. https://doi.org/10.1002/sys.20096

[21]

G. Bockle, P. Clements, J. McGregor, D. Muthig, K. Schmid, Calculating ROI for software product lines, IEEE Software, 21 (2004), 23-31. https://doi.org/10.1109/MS.2004.1293069

[22]

M. Tahmasebi, Cyberattack ramifications, the hidden cost of a security breach, Journal of Information Security, 15 (2024), 87-105. https://doi.org/10.4236/jis.2024.152007

[23]

IBM and Ponemon Institute, Cost of a Data Breach: Report 2024, IBM, 2024. Available from: https://www.ibm.com/reports/data-breach.

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