IFoA Data Science Research Section

Web page of IFoA Data Science Research Section

The Institute and Faculty of Actuaries (IFoA) Data Science Research Section is an international research community, consisting of actuaries, data scientists, statisticians and academics meeting regularly to research and develop data science techniques in actuarial and insurance applications. We organised and disseminate our works through research working parties.

We aim to achieve this by:

  1. Identifying interesting actuarial data science research problems and data sets
  2. Conducting research and case studies, including but not limited to pricing, underwriting, capital modelling, mortality, morbidity, fraud, customer behaviour, privacy and technology
  3. Publishing data science case studies and papers, via The Actuary magazine, journals, webinars, web blogs, LinkedIn and conferences

Contact us

If you have any questions about the IFoA Data Science Research Section, please contact John Ng or the Professional Communities Team (professional.communities@actuaries.org.uk)

Disclaimer

The views expressed on this site are those of invited contributors and not necessarily those of the Institute and Faculty of Actuaries. The Institute and Faculty of Actuaries do not endorse any of the views stated, nor any claims or representations made in this publication and accept no responsibility or liability to any person for loss or damage suffered as a consequence of their placing reliance upon any view, claim or representation made in this publication.

The information and expressions of opinion contained in this publication are not intended to be a comprehensive study, nor to provide actuarial advice or advice of any nature and should not be treated as a substitute for specific advice concerning individual situations. On no account may any part of this publication be reproduced without the written permission of the Institute and Faculty of Actuaries.

##Internal link: https://www.fabriziomusacchio.com/blog/2021-08-11-Minimal_Mistakes_Cheat_Sheet/