Insurance Data Science Conference 2019

ETH Zurich, Switzerland

The second Insurance Data Science Conference at RiskLab (ETH Zurich) followed on from its first edition at Cass Business School (London) and five iterations of the R in Insurance conferences. This one-day conference was an exciting international event that brought together industry and academia in the fields of insurance and computer sciences.

The two keynote speakers Joachim Buhmann (Professor of ETH Zurich) and Ronald Richman (Associate Director with QED Actuaries and Consultants) shared their views of machine learning in insurance; a panel discussion with Sabine Betz (Swiss Association of Actuaries and EY), Jeffrey Bohn (Swiss Re) and Volker Reinthaler (AXA) discussed the future potential of this field; plus more than 30 contributed talks from industry and academia presenting the latest developments.

Many thanks to all, who helped to make the event a big success! We are looking forward to seeing you again at Cass Business School (London), 22 June 2020.

Objectives

Get together of leading experts from industry and academia
Sharing of new ideas and applications
Real life examples of data science in insurance

Key dates

14 June 2019

2nd Insurance Data Science Conference
22 June 2020

3rd Insurance Data Science Conference

Registration

Registration for the 2020 conference at Cass Business School, London, will open early 2020.

Programme (2019)

Conference Programme: Download Conference Programme
Abstracts: Download Abstracts of the Presentations
Presentations: Download Presentation Slides
Call for Papers: Special Issue of the Annals of Actuarial Science on Insurance Data Science. Conference participants are especially invited to submit a paper to this special issue.

Organizer

Zurich organizers

Prof. Dr. Patrick Cheridito (ETH Zurich)
Prof. Dr. Mario Wüthrich (ETH Zurich)
Dr. Bastian Bergmann (ETH Zurich)
Ms. Galit Shoham (ETH Zurich)

Scientific committee (2019)

Katrien Antonio (KU Leuven and University of Amsterdam)
Patrick Cheridito (ETH Zurich)
Christophe Dutang (Université Paris Dauphine)
Guojun Gan (University of Connecticut)
Markus Gesmann (Lockton Re, London)
Ioannis Kyriakou (Cass Business School, City, University of London)
Davide de March (London)
Pauli Rämö (Mirai Solutions, Zurich)
Ronald Richman (AIG, South Africa)
Jürg Schelldorfer (Swiss Re, Zurich)
Giorgio Alfredo Spedicato (Unipol Group, Milan)
Andreas Tsanakas (Cass Business School, City, University of London)
Mario Wüthrich (ETH Zurich)

Recent Posts

Notes from the 2nd Insurance Data Science event

17 Jun 2019 2 min read Events

The second Insurance Data Science Conference at RiskLab (ETH Zurich) followed on from its first edition at Cass Business School (London) and five iterations of the R in Insurance conferences. This one-day conference was an exciting international event that brought together industry and academia in the fields of insurance and computer sciences. This one-day conference was an exciting international event that brought together industry and academia in the fields of insurance and computer sciences.

Insurance Data Science: Call for abstracts open

3 Dec 2018 2 min read Announcement

The 2nd Insurance Data Science conference will take place at ETH Zurich, 14 June 2019. Following the launch in London at Cass Business School in 2018, we are inviting you to submit proposals for talks by 15 February 2019 to: [email protected] We are looking for abstracts in the fields of insurance data science, statistical learning and machine learning. This includes technological developments, and mainly focuses on applications in insurance pricing, reserving, risk assessment and modeling, customer analytics, capital management, catastrophe and econometric modelling.

Notes from the 1st Insurance Data Science event

24 Jul 2018 2 min read Events

The first Insurance Data Science event was held at Cass Business School last week, 16 - 17 July 2018. The conference followed on from five iterations of the R in Insurance events, which have the aim of bringing together practitioners and academics together to discuss and exchange ideas and needs in the sector. Expanding the remit from R in Insurance to Insurance Data Science has also attracted talks on Python and Tensorflow.

Welcome to Insurance Data Science

25 Nov 2017 2 min read Announcement

When we started the R in Insurance conference in 2013, we had the aim of bringing practitioners of industry and academia together to discuss, exchange ideas and needs from both sides. R was and is a perfect glue between the two groups, a tool which both side embrace and which has fostered the knowledge transfer between the two. However, R is just one example and other languages serve this purpose equally well.