Description: Presented at Living to 100 symposium, January 2011. This paper investigates dynamic properties of age trajectories of physiological indices and their effects on mortality risk and longevity using longitudinal data on more than 5,000 individuals collected in biannual examinations of the Framingham Heart Study original age group during about 50 subsequent years of follow up.

Description: This is the panel informal discussion transcript for Session 4C:Innovative Business Solutions to Respond to an Aging Society at 2017 Living to 100 Symposium.

Description: This is the General Session II panel transcript on Insights into Successful Aging from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: This is the informal discussion transcript from Session 5A: Mortality and Longevity Research from the January 4-6, 2017 Living to 100 Symposium in Orlando.

Description: The article provides a summary of key issues presented at the 2023 U.S. Living to 100 Symposium focused on the interests of retirement professionals and retirees. It provides an overview of the subjects covered. The discussion focused on the well-being of retirees and the development of the retirement system. It is focused on late-in-life issues and having the best life possible during that period. It balances technical and lifestyle issues, with an emphasis on mortality and longevity trends and influences. Some of the topics discussed include the impact of COVID, climate, housing, and age-friendly communities. The Elder Tech Symposium was merged into Living to 100 and includes discussion of a variety of technology approaches to improve lives and simplify support. The symposium recognized that the decisions needed and concerns during retirement are different later in life, particularly as people decline.

Description: Presented at Living to 100 Symposium, January 2011. This study adapts the idea of regular discount sequence in the bandit problem, and uses it to interpret life expectancy, as well as to develop a model for survival probabilities. Data came from multiple countries.