International Conference on Actuarial Science and Insurance Analytics - (ICASIA-26)
19th - 20th May, 2026 | Santiago de Cuba, Cuba
19th April, 2026
29th April, 2026
4th May, 2026
19th - 20th May, 2026
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
SDG 3 — Good Health and Well-being
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
This track focuses on the latest methodologies and technologies in actuarial science. Participants will explore innovations that enhance risk assessment and management in the insurance sector.
This session delves into the various analytical techniques used in the insurance industry. Emphasis will be placed on case studies demonstrating the application of data analytics in underwriting and claims management.
This track examines the development and implementation of risk models in insurance practices. Discussions will include the integration of stochastic processes and their impact on risk quantification.
Participants will analyze the construction and application of mortality tables in life insurance valuation. This session will highlight the importance of accurate mortality predictions in pricing and reserving.
This track addresses methodologies for predicting losses in various insurance lines. Attendees will discuss effective management strategies to mitigate financial risks associated with loss events.
This session focuses on the principles and practices of premium calculation in insurance products. Participants will explore the role of actuarial models in determining fair and adequate premiums.
This track investigates the use of data analytics in pension modeling and management. Discussions will include the challenges and opportunities presented by demographic changes and economic factors.
This session will explore the foundational role of probability theory in insurance mathematics. Participants will discuss its applications in risk assessment and policy pricing.
This track examines various actuarial modeling techniques employed in the insurance industry. Emphasis will be placed on the practical applications of these models in real-world scenarios.
Participants will explore forecasting methods used in the insurance sector to predict future trends and outcomes. This session will highlight the importance of accurate forecasting in strategic decision-making.
This track highlights emerging trends and technologies shaping the future of insurance analytics. Discussions will include the impact of artificial intelligence and machine learning on the insurance landscape.