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.
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
Adopting policies that are consistent with achieving the Paris Agreement and prioritize health, could annually save 6.4 million lives due to healthier diets, 1.6 million lives due to cleaner air, and 2.1 million lives due to increased physical activity, according to new research. More
With rapid educational expansion in many developing countries, much progress has been made in terms of access to education. According to a new IIASA-led study, being in school is however not the same as learning and this expansion in quantity may come at the expense of quality, with the possible negative implications of the current COVID-19 pandemic on schooling possibly exacerbating the situation. More
IIASA demographer Wolfgang Lutz is invited to speak at the International Resource Panel Webcast Series on the topic of p... More
Last edited: 25 May 2021
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.
Caulkins, J.P., Grass, D., Feichtinger, G., Hartl, R.F., Kort, P.M., Prskawetz, A., Seidl, A., & Wrzaczek, S. (2021). The optimal lockdown intensity for COVID-19. Journal of Mathematical Economics 93, e102489. 10.1016/j.jmateco.2021.102489.
Reiter, C. (2021). Changes in literacy skills as cohorts age: a demographic reconstruction of adult literacy test results. IIASA Working Paper. Laxenburg, Austria: WP-21-003
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