30 November 2020 - 01 December 2020
COVID-19 is causing serious health, social and economic challenges, several of which are directly related to demographic factors. Given that older persons have a weaker immune system and are likely to have underlying chronic illness, they are particularly vulnerable to viruses like SARS-CoV-2. The severity of COVID-19 thus does not depend only on a country’s health system and policy measures, but also on age structure, regional distribution and social behavior. In countries like Italy and Spain, where 7% and 6.2% of the population was aged over 80 in 2018 (compared to 5.6% in the EU-28 on average) coupled with more intensive intergenerational social contact, demographic and family factors may have played a key role in determining vulnerability to COVID-19. How severe the consequences of the pandemic will be outside of Europe also depends on demographic, social, economic and political factors.
While the initial efforts focus on slowing the spread of the pandemic and mitigating its immediate impact, significant demography-related consequences are expected in the longer term, ranging from the way our economies function in terms of labor markets and migration, to family related behavior (including possible effects on fertility), international travel patterns and social and health care policies, as well as to how the economic burden can be shared fairly across the population.
This conference aims to bring together researchers from around the world working on COVID-19 pandemic and its consequences from a demographic perspective; in particular, we will explore the following topics:
We are confident that by the end of November 2020 it will again be possible to travel freely and safely to Vienna and that enough data and relevant analyses will have been accumulated to arrive at a first comprehensive assessment as to what is known with respect to the questions raised above. A set of the best papers presented will be published in the peer-reviewed Vienna Yearbook of Population Research, but all draft papers and posters will already be made openly accessible to the scientific community by the time of the conference.
The conference is organized by POP Program Deputy Director Raya Muttarak (co-ordinator), Anna Dimitrova, Michael Kuhn, Wolfgang Lutz, Marc Luy, and Erich Striessnig, as a collaboration of the Wittgenstein Centre Conference 2020 is organized by the Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna).
Deadline for sending abstracts for contributed papers or posters: 31 July 2020
Paper submissions online (open from 15 April 2020 until 31 July 2020)
The authors of accepted papers will be informed by 18 September 2020.
Title: Demographic Aspects of the COVID-19 Pandemic and its Consequences
Date: 30 November - 1 December 2020
Location: Vienna University of Economics and Business, Welthandelsplatz 1, 1020 Vienna
For detailed information and registration please visit the event website.
About the Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna)
The Wittgenstein Centre is a collaboration between the Department of Demography at the University of Vienna, the World Population Program at IIASA, and the Vienna Institute of Demography (VID) of the Austrian Academy of Sciences (OeAW).
The Centre combines the partners’ strengths in the fields of demography, human capital formation and analysis of the returns to education. It builds on a highly successful collaboration that has already generated significant scientific advances. “Human capital” refers to the human resource base in terms of the number of people and their changing structure by age, gender, location, education, health status, cognitive skills and other relevant characteristics. Its intent is to provide a sound scientific foundation for decision-making at various levels.
Last edited: 03 September 2020
Principal Research Scholar Migration and Sustainable Development Research Group - Population and Just Societies Program
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Research at IIASA's World Population Program
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