20 November 2017 - 01 December 2017
Under the title "Demographic Analysis with Applications to Aging Societies", this course is designed for junior scientists, researchers and graduate students whose field of interest is related to mathematical demography and population studies. It also suits to early-to mid-career professionals working in statistical or research institutes or teaching demographic analysis at universities who wish to strengthen their basic analytical skills and gain knowledge of advanced techniques for demographic analysis.
The hands-on workshop will cover the topics:
As one of the world's leading experts in computer application of demography, Sergei Scherbov has had a strong impact on advanced techniques for demographic analysis and has repeatedly been invited to give similar courses at institutes all around the world. Together with Warren C. Sanderson, Dr Scherbov has developed new methods of the analysis of aging that take characteristic of people into account. Their research has been published in major scientific journals, including Nature and Science. Scherbov is also a winner of a prestigious Advanced Grant from the European Research Council (ERC) to study, among other things, the extent to which advanced societies are actually aging in multiple dimensions, including health, cognitive abilities, and longevity.
The event is organized and funded by IIASA's Reaging project in collaboration with the College of Population Studies and will take place from 20 November - 1 December 2017 at Chulalongkorn University, Bangkok, Thailand.
More information and registration for the workshop is available at www.iiasa.ac.at/pop/DAAA-apply.
Last edited: 27 June 2017
Reassessing Aging from a Population Perspective (Re-Aging) project
Sanderson W & Scherbov S (2017). Aumentos na expectativa de vida podem levar a um envelhecimento populacional mais lento. Informe de Previdencia Social-Nota Tecnica
Scherbov S & Weber D (2017). Future trends in the prevalence of severe activity limitations among older adults in Europe: a cross-national population study using EU-SILC. BMJ Open 7 (9): e017654. DOI:10.1136/bmjopen-2017-017654.
Arpino B, Bordone V, & Scherbov S (2017). Smoking, Education and the Ability to Predict Own Survival Probabilities: An Observational Study on US Data. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-17-012
International Institute for Applied Systems Analysis (IIASA)
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