Scientific Programme


Asst Prof Reuben Ng
Assistant Professor,
Lee Kuan Yew School of Public Policy,
National University of Singapore

Dr. Reuben Ng is an Assistant Professor at the Lee Kuan Yew School of Public Policy and Lead Scientist at the Lloyd’s Register Foundation Institute for the Public Understanding of Risk. A behavioural scientist trained at NUS, Oxford and Yale, Reuben spent 16 years in government, consulting and research. In government, he was in the Prime Minister’s Office driving evidence-based policymaking through data analytics and Singapore’s Smart Nation strategies. In consulting, he co-built an advanced analytics practice at a top firm, and implemented complex analytics capabilities across various industries and functions. In research, he is an expert in ageism, social gerontology and quantitative social science. He has been credited with creating innovative techniques for measuring societal perceptions that are applied to strategic policy communications. Reuben has been awarded over 25 competitive research grants worth more than $3.2 million as a Principal Investigator (PI), and over $4 million as a PI, Co-PI and Co-I. He has over 50 peer-reviewed publications and has presented at 85 conferences globally. His work has been featured in leading news outlets including The New York Times, The Washington Post, Forbes, CNN, The Guardian, The Straits Times and Lianhe Zaobao. He leads workshops on innovation that blends data analytics, behavioural insights, and design thinking, and serves on advisory boards in finance, defence, education and sustainability. He is the first Singaporean and Oxonian to win the International Fulbright Science and Technology Award, and recently won Singapore’s most prestigious prize for early career social scientists: the Social Science Research Council’s $1-million-dollar Fellowship.

Programme Details

Day 2, 13 October 2022 , Thursday, 1335 – 1355hrs
Session 7: 13 Oct 2022, Thurs, 1330 - 1500hrs
Track : Track 3A: Reinventing Aged Care: What does the Future Hold for us? (Level 1, Hall 1, ApeX)
Topic : Technology Innovation and Big Data Approach In Aged Care
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