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Labour Research Conference 2018: Upskilling Of Mature Workers, Stephen Hoskins, Luca Facchinello
Labour Research Conference 2018: Upskilling Of Mature Workers, Stephen Hoskins, Luca Facchinello
Research Collection School Of Economics
Many developed countries are approaching an era of ageing population due to an increase in longevity and decrease in fertility rates. Singapore is no exception, having one of the fastest ageing populations in Asia, which is driven by low fertility rates and the third longest life expectancy in the world. The number of elderly citizens, defined as those aged 65 and above, is expected to triple to 900,000 by 2030, making up about 28% of the total population in Singapore (Population SG, 2016). This changing population age profile, combined with a competitive labour market, means it makes business sense to …
Build Your Own Nest: Singapore's First Study On Matched Savings Schemes For Lower Income, Older Women, David Chan, Benedict S. K. Koh
Build Your Own Nest: Singapore's First Study On Matched Savings Schemes For Lower Income, Older Women, David Chan, Benedict S. K. Koh
Research Collection School of Social Sciences
Matched Savings Scheme is a research study, commissioned by the International Longevity Centre – Singapore (ILC – Singapore) of the Tsao Foundation and funded by the Tote Board, found that a monthly matched savings scheme is effective in sustaining the retirement savings behaviour among a group of 377 elderly women from low-income households over the study period of 18 months. The research, conducted by principal investigator psychology professor David Chan and co-investigator finance professor Benedict Koh, used an experimental design and longitudinal tracking to examine the effects that different factors of a matched savings scheme have on the participants’ decision …
Identifying Elderlies At Risk Of Becoming More Depressed With Internet-Of-Things, Jiajue Ou, Huiguang Liang, Hwee Xian Tan
Identifying Elderlies At Risk Of Becoming More Depressed With Internet-Of-Things, Jiajue Ou, Huiguang Liang, Hwee Xian Tan
Research Collection School Of Computing and Information Systems
Depression in the elderly is common and dangerous. Current methods to monitor elderly depression, however, are costly, time-consuming and inefficient. In this paper, we present a novel depression-monitoring system that infers an elderly’s changes in depression level based on his/her activity patterns, extracted from wireless sensor data. To do so, we build predictive models to learn the relationship between depression level changes and behaviors using historical data. We also deploy the system for a group of elderly, in their homes, and run the experiments for more than one year. Our experimental study gives encouraging results, suggesting that our IoT system …