Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: LIMRA and the SOA Research Institute have completed the most up-to-date study of term/whole life lapse/surrender. Twenty-eight companies contributed data to this Study, covering the seven-year period from policy anniversary in 2015 to policy anniversary in 2022.

Description: The Casualty Actuarial Society (CAS), the Society of Actuaries (SOA) and the Society of Insurance Research (SIR) started developing research addressing diversity, equity and inclusion (DEI) topics. Join panelists as they briefly present an overview of their organization's DEI research and share their perspectives on common challenges facing all the stages of this research: - Planning relevant and timely research with a long timeline. - Getting appropriate data and resources to support your research. - Communicating research on topics that may be controversial.

Description: This study estimates the number of COVID-19 confirmed cases and reported deaths by hospital referral regions (HRR) using Johns Hopkins University COVID-19 data by U.S. county and the Dartmouth Atlas Project division of counties into HRRs.

Description: There are growing concerns that the Asian bird flu virus will evolve into a form that can be transmitted from human to human, thus unleashing a new global flu pandemic. This article uses the Spanish flu epidemic and the German life insurance portfolio to analyze the additional claims expenditure due to a pandemic.

Description: As actuaries, we're trained to see patterns in numbers and to design solutions that mitigate risk. While quantitative analysis and modeling are critical actuarial tools, looking at the numbers alone can lead to insurance products that don't succeed in the real world the way math says they should. With new digital technologies surfacing in the insurance space, we have more data at our fingertips than ever before, leading to a higher focus on doing quantitative research within insurance product design. Take back a step from quantitative research and discover qualitative research methodologies into your product development process to design solutions that meet real needs in the market. In a nutshell, qualitative research can surface issues early and help you answer questions such as: Can we really sell this product in the market? Why would someone buy this? How widespread is the need? How could your product be a solution you didn't intend?

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: There are many ways to actively utilize BE approaches – and implementing these important tools can help insurers in many ways.

Description: This report is presented in the form of a Tableau dashboard and is the sixth public release from this report series and contains the results of an excess mortality analysis for the fourth quarter of 2021. Data from 30 companies representing approximately 69% of the industry’s face amount inforce were included in the analyses in this report. A total of 3.2 million death claims from individual life policies from 2015 through December 31, 2021 make up the basis of the analyses. The report also compares the experience under COVID-19 of the insured population versus the general population.