23 April 2014 - 25 April 2014
Kao Lak (Phang Nga), Thailand
This Seminar is organized jointly by the IUSSP Scientific Panel on Climate Change, the College of Population Studies, Chulalongkorn University (Bangkok), and IIASA's World Population Program.
The main purpose is to bring together the expertise of the international demographic community with respect to studying demographic and socio-economic differentials to the benefit of the international risk, vulnerability and climate change community. Recently, the climate science community has recognized the importance of including socio-economic scenarios in climate change models as a key element for an integrated perspective on mitigation, adaptation and residual climate impacts. This highlights how demography could contribute to the understanding of the relationships between population dynamics (not only by age and sex but also by educational attainment and place of residence) and climate change outcomes. The international policy community has recently pledged to spend $US 100 billion per year starting in 2020 for adaptation to climate change, but it is not yet clear for what activities this money will be spent. Given that the impacts of climate change are not distributed evenly across social groups, communities and countries, it is important to identify these demographic differentials for strategies to reduce vulnerability and enhance adaptive capacity.
Accordingly, this seminar primarily brings together demographers and other social scientists who are working on vulnerability and adaptation to climate change to take stock of what scientific progress has been made to date, share and consolidate the understanding of on-going research, strengthen and expand professional networks, and discuss priorities for future research and collaboration. This seminar is also the concluding meeting of an ERC (European Research Council) Advanced Investigator Grant awarded to World Population Program leader Wolfgang Lutz 2008 on the topic “Forecasting societies’ adaptive capacity to climate change.”
Date: 23-25 April 2014
Last edited: 09 May 2016
International Institute for Applied Systems Analysis (IIASA)
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