SHAW employs various demographic methods, statistical techniques, and empirical concepts to comprehensively assess different dimensions of good health and wellbeing, while also considering equity in the distribution of wellbeing over time and over the life course for different populations around the world. In doing so, the group aims to develop alternative indicators of wellbeing to effectively measure development progress. The aim is for such indicators of wellbeing to be applied as long-term sustainability criteria that can help to pinpoint vulnerable subgroups of populations for policy priorities. Due to the group’s strong focus on sustainable human wellbeing, particular attention is paid to the feedback of emerging situations such as pandemics, economic crises, and extreme weather events that can pose risks to human health and wellbeing.
New research on China suggests that declining birth rates and an aging population might not hinder future prosperity when associated with better education of the young. More
The Sustainable Development Goals (SDGs) are a blueprint to achieve a better life for all and to ensure that no one is left behind. The partly overlapping and contradictory objectives of the SDGs can however make it difficult to assess overall progress. A group of researchers have proposed a new, tailor-made metric that measures development based on long-term human wellbeing. More
Last edited: 25 May 2021
Acting Research Group Leader and Principal Research Scholar Social Cohesion, Health, and Wellbeing Research Group - Population and Just Societies Program
Principal Research Scholar and Senior Program Advisor Population and Just Societies Program
Program and Project Officer Population and Just Societies Program
Marois, G. , Gietel-Basten, S., & Lutz, W. (2021). China's low fertility may not hinder future prosperity. Proceedings of the National Academy of Sciences 118 (40), e2108900118. 10.1073/pnas.2108900118.
Ghislandi, S., Muttarak, R. , Sauerberg, M., & Scotti, B. (2021). Human costs of the first wave of the COVID-19 pandemic in the major epicentres in Italy. In: Vienna Yearbook of Population Research 2022. Eds. Di Giulio, P., Goujon, A. , Marois, G. & Goldstein, J., Verlag der Österreichischen Akademie der Wissenschaften. 10.1553/populationyearbook2022.res2.1.
Anagnostou, P., Tasoulis, S., Vrahatis, A. G., Georgakopoulos, S., Prina, M., Ayuso-Mateos, J. L., Bickenbach, J., Bayes-Marin, I., et al. (2021). Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence, 1-23. 10.1080/08839514.2021.1935591.
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