Description: This article proposes a framework for estimating mortality improvement models and analyzing the parameter uncertainty in such models.

Description: In this session, attendees will learn to model historical mortality rates and to forecast their possible future scenarios, using a freely available and well-tested toolkit written in open source R. The core of the toolkit is implemented in the R package StMoMo (https://CRAN.R-project.org/package=StMoMo) and enables a practitioner to derive best estimate and measurements of uncertainty using academically robust demographic and actuarial mortality projection models.

Description: In this session, panelists discuss the rationale behind aging research. They will explore recent demographic and biological insights. They will then explore when those breakthroughs could happen, what would their impact be on our understanding of mortality and mortality rates and the effect on different groups. Finally, it will be a chance to have your questions answered by that eminent set of panelists.