Basellini Lab

Max Planck Society

Bayern (DE2) · Germany

ERC-funded
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ERC Starting Grant · 2025

The future of longevity: A theoretical framework to inform mortality forecasting

Current mortality forecasting methods have been shown to systematically underpredict future longevity, and their methodological frameworks are based on time series extrapolation rather than theory or structural models. Given our extensive knowledge of the factors that have shaped mortality trends, a crucial question is whether considering additional traits of the populations analysed can improve prediction accuracy compared to the state of the art. The goal of LONGFOR is to develop innovative models of past and future mortality for several populations that are informed by the theoretical framework of the health transition theory. To achieve this, LONGFOR will focus on three primary research…

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