Description: The article first tries to determine a consensus view of what social security should accomplish and then tries to measure how well the current level of benefits succeeds in meeting these goals. Assessing benefit adequacy is an essential element in putting the overall program on a sound financing footing.

Description: Creating an effective team is core to actuarial transformation. This involves establishing teams with jobs that line up to achieve the company's goals, with clear roles that engage people and enable them to develop. Coupled with this, effective teams need to harness the benefits of diversity. This is done both directly and through sponsorship and allyship to ensure that the full benefit of diverse teams can be realized with multiple viewpoints and perspectives strengthening teams. During the sessions, the speakers will draw on their experiences from around the world on, building global and diverse teams. By attending this session, you will:•Be able to gain insight on the benefits of embracing diversity when creating an actuarial team across the globe, and how sponsorship and allyship in workplace foster an inclusive environment.

Description: The SOA Research Institute Health Care Cost Trends Strategic Research Program and Health Section Council Committees are seeking researchers to compare the intended effects of the ACA and its amendments since the implementation of each provision.

Description: The SOA has been interested in financing of long term care for many years. As part of this interest, they approved a state-based research effort in the chosen location of Minnesota. Join authors of the research as they present their findings . The research effort looked at stakeholder responses in Minnesota to several designs that would create a state-based catastrophic long-term care insurance program. The conceptual work was based on efforts by Cohen, Feder and Favreault using the DYNASIM model created by the Urban Institute. Catastrophic coverage would be provided after a variable waiting period based on income. Private resources, including long-term care insurance, would be expected to cover the front end. (Persons on Medicaid would continue to have their gap coverage provided by that program).

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: 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: "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: 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.