Description: The aim of this research is to survey emerging data analytics techniques and discuss their evolution and growing use in the actuarial profession. Data analytics’ applications in life and non-life insurance will also be provided.

Description: Actuaries have a long history with stochastic modeling. Nested stochastic modeling is often used when the modeling components under each economic scenario are themselves determined by stochastic scenarios in the future. In this paper three methods have been suggested that can be added on top of existing enhancement methods to improve NSM efficiency.

Description: On August 29, 2022, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. This was the third time such a panel was assembled, and most panelists had participated in the previous discussions. Each participant volunteering for being part of the discussion was selected because of their management-level responsibilities for the application of technology in an actuarial context. The group was diverse in terms of employment, including company actuaries from life, health, and property/casualty backgrounds, as well as consultants from various kinds of firms. This panel included participants from outside the U.S. as well.

Description: View the Data Challenges in Building a Facial Recognition Model and How to Mitigate Them

Description: A literature review report that looks at research on how artificial intelligence is used in actuarial work.

Description: Bias Awareness in Model Governance

Description: This primer paper seeks to introduce and update the actuarial profession to the topic of insurance policies and genetics and study the impacts on insurance and potential responses.

Description: This paper explores how molecular biology, specifically epigenetics, may impact the life insurance industry, and considers the effects of utilizing epigenetic biomarkers for underwriting.

Description: The Society of Actuaries Research Institute commissioned this study to highlight the leading emerging technologies that may significantly affect the actuarial profession over a three-year horizon. This study will act as a guide and a resource for actuaries or potential employers to identify the prospective tools to enhance or expand actuarial work, for people collaborating with actuaries who may be affected by these technologies, and for leaders looking to enable teams employing actuaries through the introduction of these tools.

Description: Because of its complexity, ensuring the security of cyberspace is one of today’s most significant challenges. As the cyber environment becomes more integrated with the real world, the direct impact of cybersecurity incidents on business is also heightened. This study aims to develop a generic model that can be applied by any organization. For the validation of the developed cyber risk analysis method, simulations and sensitivity analysis will be performed.