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 cyber security 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.

Description: Health care cost trends are a key ingredient that health care actuaries use in their practice. In collaboration with the Health Care Cost Institute (HCCI), the Society of Actuaries has put together a data extract for practicing health actuaries to be able to better understand historical trends and cost disruptors.

Description: This is a digest of reports on topics of current interest including: 1. Future Outlook Study, 2. Mortality Investigation on Individual Lives, and 3. Legislative Matters of Interest to Actuaries. From Transactions of Society of Actuaries 1968, Vol. 20 Pt. 2, No. 56.

Description: In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field. The recent studies and successes from the industry will also be discussed. We intend to bring more actuaries onboard about those technologies and start to think about how to bring them into our daily work.

Description: This literature review provides insights on emerging technologies that interact with the actuarial profession within the space of microinsurance for the purpose of establishing a frame of reference for actuaries to use in their work. Furthermore, it intends to spark readers’ interest in, and create a vision for, how microinsurance and its associated technologies may impact the actuarial industry in the future.

Description: This project pertained to the development of anew Actuarial Science Learning Community model, involving four types of students' engagement: academic coursework, residential life, research, and professional development. The model provided students an immersive exposure to Data Science from the Actuarial perspective, which will result in Actuarial students greatly expanding their skill set and future job opportunities, at the intersection of Actuarial Science and Data Science.

Description: Society of Actuaries Research Brief Impact of COVID-19, April 16, 2020

Description: This is a listing of names of those serving on the Board of Governors complete with the term of expiration. From Transactions of Society of Actuaries 1988, Vol. 40.

Description: 1956 Transactions of the SOA, Volume 8. This is the table of contents for papers published in Transactions of Society of Actuaries 1956, Vol. 8.

Description: In this report, we will try to provide an in-depth review of current Machine Learning and Deep Learning models and will explain how those models works and their possible applications in the actuarial field. The recent studies and successes from the industry will also be discussed. We intend to bring more actuaries onboard about those technologies and start to think about how to bring them into our daily work.