RESEARCH Project Name: Future of Manufacturing - Mastery in a Digital Age Duration of Project: 1 year Start & End Date: Sept 2022 – Sept 2023 Project Collaborators: SUTD Lee Kuan Yew Centre for Innovative Cities (LKYCIC); NTUC; NTUC Learning Hub The "Future of Manufacturing: Securing Skills for Singapore's Manufacturing Sector" project aimed to address the evolving skills needed in Singapore's manufacturing sector, a crucial part of the economy. The research highlighted key tensions faced by workers, such as balancing digital and deep domain skills and the need for broader, transferable skills. The study recommended embedding an interactionscentric view in training programmes to integrate both digital and domain skills, developing multi-pathway career strategies to prepare workers for multiple roles, and designing inclusive workplaces for a multigenerational workforce. These recommendations were vital for maintaining skills security, enhancing the sector's attractiveness, and ensuring the resilience and adaptability of Singapore’s manufacturing workforce. This study was essential for future-proofing the manufacturing sector, ensuring it remains a cornerstone of Singapore’s economy while adapting to rapid technological changes and global competition, with a strong emphasis on both new digital skills and deep domain expertise. Project Name: The Elderly Life Activity-Space (EASE) Project: Environmental, Health and Social Factors Determining Seniors’ Life Spaces in the Community Duration of Project: 2 years 6 months Start & End Date: Aug 2021 – Feb 2024 Project Collaborators: SingHealth (Lead PI), Duke-NUS Medical School, Geriatric Education & Research Institute, Sengkang Health, Singapore Institute of Technology, Mobile Market Monitor, SUTD (LKYCIC, ASD) This multi-institution, interdisciplinary project, which was funded by NRF - Ministry of National Development (MND), used the notion of life-space and mixed-methods research to establish the impact of built environment, health and social determinants on older adults’ out-ofhome travel activities and life-space. In addition to life-space tracking technology, physical assessments and survey of 1,118 representative cohort of community-dwelling older Singaporeans, community design workshops, CCTV camera tracking and machine learning analytics were included to demonstrate the potential of AI in the study of built environment and space usage patterns. The project investigated how different physical features of the built environment may influence user activity levels, and behaviour and established a series of evidence-based, actionable planning and design recommendations and social programming ideas to maintain and expand older Singaporeans’ out-of-home travel and life-space. Restricted Restricted RESEARCH HIGHLIGHTS p. 42 SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
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