Description: Our understanding of the biology of aging is increasing rapidly, creating insight into how and why any organism is aging. Some of the mechanisms by which the process of aging occurs in mammals are sufficiently well understood that clinical trials targeting them in humans to improve later life health and longevity are now being undertaken. Translating results seen in mammals to humans has the potential to increase life expectancy far beyond what we have seen historically. Come explore the current state and outlook of research.

Description: "Demographic components of Future Potential Old-Age Support Ratios – Kirill Andreev, Ph.D., United Nations, Population Division, New York, Mila Andreeva, KAMA Consulting Effect of internal Migration on the Health of Taiwan’s Elderly People – Jack C. Yue, Ph.D., – National Chengchi University, Department of Statistics, Taipei, TaiwanPopulation Aging and Canada’s Social Contract: Covid-19 Catalyst for Change – Douglas Andrews, FSA, FCIA, Ph.D., Lori J. Curtis, Ph.D., – University of Waterloo"

Description: "Establishing Methods for Annual Updates to Cohort Life Expectancies – R. Dale Hall, FSA, CERA, MAAAManaging Director of Research, Society of Actuaries Research Institute Longevity Disparity across Communities in the United States – Lijia Guo, Ph.D., ASA, MAAA , US Government Accountability Office, Applied Research and Methods Division, Washington DC"

Description: Both the SOA and AARP will showcase their recent research projects highlighting the impact of marginalization on aging and retirement. Learn how being a member of a marginalized group changes your outcomes as well as your perspective on aging and retirement.

Description: Come discuss the interaction between defined benefit (DB) plans and defined contribution (DC) plans. You'll hear more about the impact of DB plans on DC plan design and vice versa. Join us and learn about the differences in DB and DC plan governance and cross-over opportunities between these plan solutions.

Description: This session delves into Actuarial Fairness and compares it to other fairness concepts within the context of retirement savings, exploring how these ideas influence behaviors among retirees. We explore how immediate financial pressures and complex financial decisions impact people's willingness and capability to save for retirement. The session will also review traditional retirement solutions and innovative alternatives, assessing how each aligns with fairness principles. Drawing parallels from public discourse on resource distribution in sectors like healthcare, we discuss broader implications of fairness in financial regulations and impacts on policy and decision-making in retirement planning. Learning Outcomes: Attendees will be able to: - Understand the application of fairness concepts, including Actuarial Fairness, to retirement income products. - Explore how perceptions of fairness influence retirement saving behaviors, examining personal finance challenges and the regulatory environment. - Assess innovative retirement solutions' roles in promoting fairness while upholding actuarial integrity. - Analyze the influence of legislation and public policy on the conceptualization, communication, and implementation of fairness in retirement products.

Description: What are the recent expectations of long-term trends in mortality? What are the limits to improvements in longevity? Join us as we review the factors impacting U.S. population mortality in the eyes of demographers. By the end of this session, you will have an awareness of the major causes of mortality and how they are trending.

Description: Come check out case studies regarding ethical dilemmas faced by actuaries in their day-to-day practice. You'll participate in an interactive discussion as presenters explore solutions to balancing various ethical considerations and have a better understanding of different ethical issues and how it impacts their practice by the end.

Description: Mortality Model Selection and Combination in RAlternative approaches for selecting mortality models and forecasting mortality have been proposed. The usual practice is to base mortality forecasts on a single mortality model selected using in-sample goodness-of-fit measures. However, cross-validation and other alternative out-of-sample measures are increasingly being used in model selection, and model combination methods are becoming a common alternative to using a single mortality model. Such methods combine predictions from multiple mortality models to reduce model choice uncertainty and improve forecast accuracy. Explore techniques to select and combine mortality models using the freely available open source R package CoMoMo (https://github.com/kessysalvatory/CoMoMo), which extends the widely used R package StMoMo (https://CRAN.R-project.org/package=StMoMo). We will use data for the USA and other countries to discuss and demonstrate four different model combination approaches including simple model averaging, Bayesian model averaging, model confidence set, and stacked regression ensembles.

Description: "Living to 100 in the time of COVID-19: A Study of Late –Life Mortality Trajectories, Leonid A. Gavrilov, Ph.D., Natalia S. Gavrilova, Ph.D., Academic Research Centers, NORC at the University of Chicago Swedish Mortality Does Not Decelerate in Recent Cohorts, or Does it? – Roland Rau, Ph. D., Professor, University of Rostock & Max Planck Institute for Demographic Research, Rostock, Germany; Marcus Ebeling, Ph.D., Karin Modig, Ph.D., Associate Professor, Anders Ahlbom, Ph.D., Professor Emeritus, Karolinska Institute, Stockholm Sweden; Kai Kaufhold, Aktuar DAV, Ad Res Advanced Reinsurance Services GmbH, Cologne, Germany; Annika Ziegler, Lukas Stake, Hochschule Koblenz & Ad Res, Germany"