Description: Critical factors to consider as we age include where we live, who we interact with, how we get the help and support we need when we need it, and how our health care is organized and delivered. Underlying this is how we finance the cost of specialized housing, care and support. Some communities are age-friendly where we can obtain supportive services, others are not. Some people choose to live in senior housing which integrates support services, others choose to live in the community among people of all ages. Some health care systems are well designed to meet the needs of older people, others are not. The cost of living for older adults, considering all of these factors, varies by community. Explore more about the perspective of older adults, how communities have structured to meet their needs, and how society as a whole is becoming aware of and addressing a growing aging population.

Description: In this introductory session, we set the stage for the Symposium’s entire ElderTech track. We’ve seen increasing technology adaptation by the elderly in many areas of their lives, including socializing, health care, mobility, home monitoring, insurance, investing and financial planning. Panelists will provide an overview of the current state of ElderTech and how they believe it will evolve in the short and long term. Panelists will also discuss the problems ElderTech is trying to solve, consumer pain points and why ElderTech has become so important recently.

Description: Panelists from the home-based care industry will discuss the latest technology and services that enable and prolong the receipt of formal and informal care at home for the elderly and delay transitions to care facilities.

Description: General Session VI

Description: This document is a methodology guide for the Long-Term Care Population Research Model developed by the Society of Actuaries Research Institute in November 2024. It explains the model's purpose, framework, data sources, user inputs, calculations, and outputs related to public long-term care benefits.

Description: Discover an introduction to decomposing differences in life expectancy by age and cause of death. Take a look into demographic techniques that decompose life expectancies at birth and older ages into the portions contributed by later age groups and causes of death-. These have been in existence for some time and provide a convenient device for analyzing mortality change over time as well as differences between sexes, countries, and ethnic groups. The methods will be described and illustrated by spreadsheet examples.

Description: "Population Aging, Global Climate Change and Social Security – Sally Shen, Research Associate, Global Risk Institute, John A. Turner, Ph.D., Director, Pension PolicyClimate Change and Mortality Time for Actuaries to Pay Attention – Sam Gutterman. FSA, CERA, FCAS, FCA, HONFIA, MAAA"

Description: "Informal caregiving is far more costly than many people realize. And not just in the immediate future. Current demographic trends suggest that caregiving will become even more necessary and costly as the Baby Boomers continue to age and require more support and services. In 2022, the SOA engaged Milliman, Inc. to conduct an analysis of the need for informal caregiving and its impacts on employees, employers, and other stakeholders. The purpose of this research was to educate stakeholders, policymakers, and other interested parties on the realm of informal caregiving, as well as how the challenges associated with providing informal care of all kinds might be addressed. Discover key findings and themes from the research project, as well as stories highlighting the various forms this role can take, and solutions currently being developed around the country. An open discussion on ways our profession can impact this growing need with the work we do every day in our respective roles will also be included."

Description: "On the decomposition of mortality models into causes of death – Andrés M Villegas Ph.D – UNSW Australia, Madhavi Bajekal, Ph.D.,HONFIA, University of London, UK, Steven Haberman, Ph.D. – Bayes Business School, University of London, UK Forecasting cause-specific mortality rates using the insights from the cointegration analysis, Séverine Arnold, PhD, Viktoriya Glushko, Department of Actuarial Science, Faculty of Business and Economics (HEC Lausanne), University of Lausanne, Switzerland"

Description: General Session III – The Ageing Process: From New Technology to New Medicine