2017


Demographics 2017 Workshop
 
Focusing on Population Health State and Mortality Estimates
 
Demographic and Human Development Indicators
 
6 -9 June 2017 London, UK

The health state curve for USA females in 2010 is illustrated by the heavy magenta line. The corresponding survival curve for the related case is presented by the cyan curve (σ=0.068814). The blue curve expresses the death distribution. The light curves with various colors are the stochastic paths from the related simulation. The dashed curves express the confidence intervals. (source, C. H. Skiadas, 2016)


The rapid improvements last 60 years in science and especially in medicine, biology and the related fields gave rise to better conditions of life leading to a higher life span. Improvement also came in the way we cope with the nature and the natural phenomena. Demography and demographic analysis and research grow rapidly along with the other scientific fields and especially the quantitative branches of mathematics, statistics and more recently the computing methods and techniques. The new methods and techniques along with the classical qualitative aspects of demography tend to straighten the theoretical approaches and lead to various applications in the same or in other scientific fields including social and economic sciences, insurance and finance thus improving the social welfare of the countries. The research now is more interdisciplinary and the aim of the Workshop on Demographics 2017 is to attract people from the academia and practice thus closing the gap between theory and applications. Presentations expressing the state-of-the art will be organized.


The Workshop is organized under the umbrella of the Applied Stochastic Models and Data Analysis International Society - ASMDA International, and it is aimed to invite people      in improving demography and the related fields of analysis and research including life and physical sciences as well as medical and technical information. We strongly support interdisciplinary studies and the improvement of the analytic tools and research methods. Both theoretical and practical submissions are accepted.

 

Abstract and Paper submissions are welcomed by using this website tools.

Please submit your abstract by January 31, 2017 (NEW).

More Abstracts could be sent as Late Submissions

The deadline for full papers is March 30, 2017

 

 

More information at secretariat@asmda.com or from the workshop chair:

Christos H Skiadas (skiadas@cmsim.net )

Web: http://www.cmsim.net

Population Health State and Mortality Theory and Applications

 

Main Topics

 

1. Human population and mortality data and databases
2. Models and modeling of human mortality, longevity and life expectancy
3. Gompertz, Gompertz-Makeham, Weibull, Brass, Heligman and Pollard, Lee and Carter
4. Stochastic models, First exit time models of Human mortality
5. Methods and tools for fitting models
6. Nonlinear regression, Nonlinear regression packquages, Nonlinear regression with Excel
7. Life expectancy limits
8. Life expectancy forecasts
9. Human organism deterioration and application in life expectancy
10. Health state of a population: definition, modeling and estimates
11. The health state function
12. Healthy life expectancy estimates
13. Healthy life expectancy estimates from death and population data
14. Applications and comparisons of healthy life expectancy estimates
15. Longevity, theory and estimates

16. Human Development Stages Estimates

17. Miscellaneous

18. Other demographic analysis and research topics

Health State in UK. Theory and Applications

Health State in France. Theory and Applications

Plenary Talks for Demographics Workshop

Thierry J. Chaussalet
Leader MSc Business Intelligence and Analytics and
Health and Social Care Modelling Group
Faculty Director of Business Development
Faculty of Science and Technology University of Westminster
New Cavendish Street
London, UK


Rebecca Kippen CV

Rural Health, Monash University
Victoria, Australia
"Projecting life expectancy: a global history"


The Demographic and Human Development Indicators for 34 Countries are presented below.

More information at: www.cmsim.net 
Health State in USA: Theory and Applications