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: "COVID-19 and excess mortality: an actuarial study – Camille Delbrouck, Aon Benfield, Belgium, Jennifer Alonso-García, Department of Mathematics, Université Libre de Bruxelles, Belgium, ARC Centre of Excellence in Population Ageing Research (CEPAR), UNSW Sydney, Australia Netspar, The Netherlands How did COVID-19 change the dependence structure across major causes of death – Han Li, Ph.D., Associate Professor, Centre for Actuarial Studies | Faculty of Business and Economics, The University of Melbourne, Victoria, Australia"

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: "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"

Description: Navigate a perspective on the process of developing estimates and projections of mortality rates, based on a Living to 100 paper by the teacher. Discover the approach and considerations an actuary (or others) can take to develop a mortality rate assumption for five time periods. It will describe techniques to estimate historical mortality rates from which to project future mortality rates.

Description: Experts in the field of healthy aging discuss new insights and emerging services and ElderTech, such as wearables and passive monitoring devices and virtual therapies, that can prolong a disability-free lifestyle. What is effective? How do we get people to engage in activities that are good for them in the long run?

Description: This report focuses on disparities in retirement savings based on race and ethnicity. It includes a thorough review of the literature on the extent of racial disparities in retirement savings and possible causes for and correlates of these disparities.

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: "How long is long in longevity? – Jesús-Adrian Álvarez, Ph.D. - Danish Labour Market Supplementary Pension Fund (ATP), The Rate of Aging in humans is constant. New evidence – Marcus Ebeling, PhD., Research Group Mathematical and Actuarial Demography, Max Planck Institute for Demographic Research, Rostock, Germany, Department of Sociology and Demography, University of Rostock, Rostock, Germany; Roland Rau, Ph.D., Professor, Research Group Mathematical and Actuarial Demography, Max Planck Institute for Demographic Research, Rostock, Germany, C6 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Håkan Malmström, Ph.D., C6 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Anders Ahlbom, Ph.D., Professor Emeritus, Karen Modig, Ph.D., Associate Professor, C6 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden Human Lifetimes: Finite But Not Necessarily Bounded – Fei Huang, PhD., School of Risk & Actuarial Studies, UNSW Sydney; Ross Maller, Ph.D., Emeritus Professor, Xu Ning, Ph.D., Research School of Finance, Actuarial Studies & Statistics, Australian National University, Brandon Milholland, Ph.D., IQVIA Plymouth Meeting, PA."

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.