2023 Webinar - Open Source Actuarial Science  - April 13

Actuarial science has been built on the idea of open-science with a rich repository of papers, monographs and studies made freely available by the CAS. Recently the CAS launched a Github organization, enabling the open-science philosophy to be extended to open-source tooling. This session will explore the benefits of open-source tools, how and why we should get involved. We will also dive deeper into the chainladder-python library to give a practical example of how these tools and the community that surround them can benefit you and your organization. We encourage attendees’ participation through Google Colab where a live demo will be shown. All you need is a Google account, no prior set up is required. Actuarial science has been built on the idea of open-science with a rich repository of papers, monographs and studies made freely available by the CAS. Recently the CAS launched a Github organization, enabling the open-science philosophy to be extended to open-source tooling. This session will explore the benefits of open-source tools, how and why we should get involved. We will also dive deeper into the chainladder-python library to give a practical example of how these tools and the community that surround them can benefit you and your organization. We encourage attendees’ participation through Google Colab where a live demo will be shown. All you need is a Google account, no prior set up is required.

Learning Objectives:

1. Have an awareness and appreciation of open-source tools.
2. How and why we should contribute to open source projects.
3. Be made aware of the chainladder-python package and understands its basic functionality.

Caption Disclaimer
CAS provides closed captioning generated by software applications for the convenience of viewers. CAS does not review for accuracy of the information that appears in a closed caption, and such information (including any foreign language translation and transcription displayed in a closed caption) may not be relied upon as an accurate or complete record of CAS programming. CAS makes no representations or warranties, and expressly disclaim any responsibility or liability with respect to, any errors or omissions in, or the accuracy, reliability, timeliness or completeness of, any information that appears in a closed caption.