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1. Unsupervised Learning for Large Scale Data

Author

Barmpas, Petros, primary, Tasoulis, Sotiris, additional, Vrahatis, Aristidis G., additional, Anagnostou, Panagiotis, additional, Georgakopoulos, Spiros, additional, Prina, Matthew, additional, Ayuso-Mateos, José Luis, additional, Bickenbach, Jerome, additional, Bayes, Ivet, additional, Bobaki, Martin, additional, Caballero, Francisco Félix, additional, Chatterji, Somnath, additional, Egea-Cortés, Laia, additional, García-Esquinas, Esther, additional, Leonardi, Matilde, additional, Koskinen, Seppo, additional, Koupil, Ilona, additional, Pająk, Andrzej, additional, Prince, Martin, additional, Sanderson, Warren, additional, Scherbov, Sergei, additional, Tamosiunas, Abdonas, additional, Galas, Aleksander, additional, MariaHaro, Josep, additional, Sanchez-Niubo, Albert, additional, Plagianakos, Vassilis P., additional, and Panagiotakos, Demosthenes, additional

Published
2022
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2. A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project

Author

Barmpas, Petros, Tasoulis, Sotiris, Vrahatis, Aristidis G., Georgakopoulos, Spiros V., Anagnostou, Panagiotis, Prina, Matthew, Ayuso-Mateos, José Luis, Bickenbach, Jerome, Bayes, Ivet, Bobak, Martin, Caballero, Francisco Félix, Chatterji, Somnath, Egea-Cortés, Laia, García-Esquinas, Esther, Leonardi, Matilde, Koskinen, Seppo, Koupil, Ilona, Paja̧k, Andrzej, Prince, Martin, Sanderson, Warren, Scherbov, Sergei, Tamosiunas, Abdonas, Galas, Aleksander, Haro, Josep Maria, Sanchez-Niubo, Albert, Plagianakos, Vassilis P., and Panagiotakos, Demosthenes

Published
2022
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13. INTRODUCTION

Author

Sanderson, Warren and Scherbov, Sergei

Published
2016

23. Unsupervised Learning for Large Scale Data: The ATHLOS Project

Author

Barmpas, Petros, primary, Tasoulis, Sotiris, additional, Vrahatis, Aristidis G., additional, Anagnostou, Panagiotis, additional, Georgakopoulos, Spiros, additional, Prina, Matthew, additional, Ayuso-Mateos, José Luis, additional, Bickenbach, Jerome, additional, Bayes, Ivet, additional, Bobak, Martin, additional, Caballero, Francisco Félix, additional, Chatterji, Somnath, additional, Egea-Cortés, Laia, additional, García-Esquinas, Esther, additional, Leonardi, Matilde, additional, Koskinen, Seppo, additional, Koupil, Ilona, additional, Pająk, Andrzej, additional, Prince, Martin, additional, Sanderson, Warren, additional, Scherbov, Sergei, additional, Tamosiunas, Abdonas, additional, Galas, Aleksander, additional, MariaHaro, Josep, additional, Sanchez-Niubo, Albert, additional, Plagianakos, Vassilis P., additional, and Panagiotakos, Demosthenes, additional

Published
2021
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24. A Hybrid Machine Learning Framework for Enhancing the Prediction Power in Large Scale Population Studies: The ATHLOS Project

Author

Barmpas, Petros, primary, Tasoulis, Sotiris, additional, Vrahatis, Aristidis G., additional, Prina, Matthew, additional, Ayuso-Mateos, José Luis, additional, Bickenbach, Jerome, additional, Bayes, Ivet, additional, Bobak, Martin, additional, Félix Caballero, Francisco, additional, Chatterji, Somnath, additional, Egea-Cortés, Laia, additional, García-Esquinas, Esther, additional, Leonardi, Matilde, additional, Koskinen, Seppo, additional, Koupil, Ilona, additional, Pająk, Andrzej, additional, Prince, Martin, additional, Sanderson, Warren, additional, Scherbov, Sergei, additional, Tamosiunas, Abdonas, additional, Galas, Aleksander, additional, Haro, Josep Maria, additional, Sanchez-Niubo, Albert, additional, Plagianakos, Vassilis, additional, and Panagiotakos, Demosthenes, additional

Published
2021
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26. Future Fertility in Low Fertility Countries

Author

Basten, Stuart, primary, Sobotka, Tomáš, additional, Zeman, Kryštof, additional, Abbasi-Shavazi, M. Jalal, additional, Adsera, Alicia, additional, Van Bavel, Jan, additional, Berghammer, Caroline, additional, Kim Choe, Minja, additional, Frejka, Tomas, additional, Leridon, Henri, additional, Mills, Melinda, additional, Morgan, S. Philip, additional, Rindfuss, Ronald R., additional, Rosero-Bixby, Louis, additional, Rotkirch, Anna, additional, Sanderson, Warren, additional, Testa, Maria Rita, additional, Thévenon, Olivier, additional, and Zhao, Zhongwei, additional

Published
2021
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30. Alcohol Drinking and Health in Ageing: A Global Scale Analysis of Older Individual Data through the Harmonised Dataset of ATHLOS

Author

Tyrovolas, Stefanos, primary, Panaretos, Dimitris, additional, Daskalopoulou, Christina, additional, Gine-Vazquez, Iago, additional, Niubo, Albert Sanchez, additional, Olaya, Beatriz, additional, Bobak, Martin, additional, Prince, Martin, additional, Prina, Matthew, additional, Ayuso-Mateos, Jose Luis, additional, Caballero, Francisco Felix, additional, Garcia-Esquinas, Esther, additional, Holger, Arndt, additional, Scherbov, Sergei, additional, Sanderson, Warren, additional, Gheno, Ilenia, additional, Koupil, Ilona, additional, Bickenbach, Jerome, additional, Chatterji, Somnath, additional, Koskinen, Seppo, additional, Raggi, Alberto, additional, Pajak, Andrzej, additional, Tobiasz-Adamczyk, Beata, additional, Haro, Josep Maria, additional, and Panagiotakos, Demosthenes, additional

Published
2020
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40. The impact of physical health on the postponement of retirement

Author

Boissonneault, M., de Beer, J.A.A., Scherbov, Sergei, Sanderson, Warren, and Netherlands Interdisciplinary Demographic Institute (NIDI)

Abstract

To mitigate the effects of population ageing, measures aimed at encouraging people to work longer are being implemented in many countries. However, older people are usually in poorer physical health, and poorer physical health is associated with premature labour force withdrawal. We investigate whether the age-related decline in physical health represents a hurdle to higher labour force participation levels at older ages by proposing a simulation in which the age profile of physical health stays constant over time, while all other factors that predict labour force participation are postponed. The model is fitted using data collected by the Survey of Health, Aging and Retirement in Europe (SHARE) in 14 European countries. The results show that on average across these countries, the effect of health on labour force participation levels is small. This effect is slightly bigger in countries in which labour force participation levels and the share of the population receiving disability benefits are already high. Thus, the decline in physical health with age should not greatly limit the effectiveness of policies designed to encourage employment at older ages.

Published
2017

46. Education rather than age structure brings demographic dividend.

Author

Wolfgang Lutz, Cuaresma, Jesus Crespo, Kebede, Endale, Prskawetz, Alexia, Sanderson, Warren C., and Striessnig, Erich

Subjects
DIVIDENDS, ECONOMIC change, POPULATION, HUMAN capital, ECONOMIC development, DEMOGRAPHIC characteristics, DEMOGRAPHIC surveys
Abstract

The relationship between population changes and economic growth has been debated since Malthus. Initially focusing on population growth, the notion of demographic dividend has shifted the attention to changes in age structures with an assumed window of opportunity that opens when falling birth rates lead to a relatively higher proportion of the working-age population. This has become the dominant paradigm in the field of population and development, and an advocacy tool for highlighting the benefits of family planning and fertility decline. While this view acknowledges that the dividend can only be realized if associated with investments in human capital, its causal trigger is still seen in exogenous fertility decline. In contrast, unified growth theory has established human capital as a trigger of both demographic transition and economic growth. We assess the relative importance of changing age structure and increasing human capital for economic growth for a panel of 165 countries during the time period of 1980-2015. The results show a clear dominance of improving education over age structure and give evidence that the demographic dividend is driven by human capital. Declining youth dependency ratios even show negative impacts on income growth when combined with low education. Based on a multidimensional understanding of demography that considers education in addition to age, and with a view to the additional effects of education on health and general resilience, we conclude that the true demographic dividend is a human capital dividend. Global population policies should thus focus on strengthening the human resource base for sustainable development. [ABSTRACT FROM AUTHOR]

Published
2019
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