The SHAW Group’s research activities directly and comprehensively addresses the measurement of human wellbeing in its multiple dimensions with a special focus on health as a key component and social cohesion as a key determinant of wellbeing.
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.
Models, tools, datasets
Projects
Staff
News
11 March 2024
Training Workshop on Demographic Analysis with Applications to Aging and Health
22 February 2024
Master's Programme "Global Demography"
08 November 2023
Accurately calculating life expectancy since COVID-19
Events
Shanghai University, China
Third Asian Population Forum and Training Workshop on Multidimensional Demographic Modeling
Focus
08 November 2023
Explaining the impacts of climate change on migration
07 September 2022
The migration maze
Publications
Grass, D., Wrzaczek, S., Caulkins, J.P., Feichtinger, G., Hartl, R.F., Kort, P.M., Kuhn, M., Fürnkranz-Prskawetz, A., Sanchez-Romero, M., & Seidl, A. (2024). Riding the waves from epidemic to endemic: Viral mutations, immunological change and policy responses. Theoretical Population Biology 156 46-65. 10.1016/j.tpb.2024.02.002. Freiberger, M., Kuhn, M., Fürnkranz-Prskawetz, A., Sanchez-Romero, M., & Wrzaczek, S. (2024). Optimization in age-structured dynamic economic models. IIASA Working Paper. Laxenburg, Austria: WP-24-004 Marois, G. , Gietel-Basten, S., Crespo Cuaresma, J., Zellmann, J.G., Reiter, C. , & Lutz, W. (2024). Measuring Human Capital with Productivity-Weighted Labor Force: Methodology and Projections for China, India, the United States, and the European Union. IIASA Working Paper. Laxenburg, Austria: WP-24-005 K.C., S., Dhakad, M., Potančoková, M. , Adhikari, S., Yildiz, D. , Mamolo, M., Sobotka, T., Zeman, K., Abel, G. , Lutz, W. , & Goujon, A. (2024). Updating the Shared Socioeconomic Pathways (SSPs) Global Population and Human Capital Projections. IIASA Working Paper. Laxenburg, Austria: WP-24-003 Jones-Antwi, R.E., Kohlenberger, J., Buber-Ennser, I., Pędziwiatr, K., Rengs, B., Setz, I., Brzozowski, J., Riederer, B., Tarasiuk, O., & Pronizius, E. (2023). High self-selection of Ukrainian refugees into Europe: Evidence from Kraków and Vienna. PLoS ONE 18 (12) e0279783. 10.1371/journal.pone.0279783.