[R-sig-ins] Insurance Data Science Conference 2018: Ticket Registration and Call for presentations

[Markus Gesmann]

Hi all,

The abstract submission deadline for the 2018 Insurance Data Science conference is approaching fast: 9th of April.  

I am looking forward to seeing you at Cass Business School, 16 July.

Visit: https://insurancedatascience.org/ for more details.

Best regards

Markus

> On 1 Feb 2018, at 16:02, Markus Gesmann <markus.gesmann at googlemail.com> wrote:
> 
> Hi all,
> 
> Registrations are now open for the first Insurance Data Science conference (https://insurancedatascience.org) on 16 July 2018 at Cass Business School, London.
> 
> We follow from five iterations of the highly successful R in Insurance conferences as a focussed one-day conference, providing expert talks, networking opportunities and a fresh perspective for practitioners and academics on data science in insurance.
> 
> About the Conference:
> 
> - We have keynotes from Prof. Dr. Gareth Peters (Heriot Watt University) and Eric Novik (CEO, Generable).
> - The conference day is a single track of short presentations with breaks and a roundtable discussion, covering a wide gamut of interests and specialisations including risk assessment, customer analytics, pricing, reserving, capital management, catastrophe and econometric modelling
> - The following day we have a full-day Stan in Insurance workshop with Eric Novik and Paul-Christian Bürkner, supported by Jake Morris and Mick Cooney
> 
> Call for presentations:
> 
> - We would like contributions to topics related to risk assessment, customer analytics, pricing, reserving, capital management, catastrophe and econometric modelling
> - Reflecting our new name, we’re language agnostic, so whether you use R, Python, Scala, Rust, C++, Matlab, Julia or anything else, we’d like to hear about it. 
> - The deadline for submitting an abstract is 9 April 2018, so please send proposals for review to info at insurancedatascience.org
> 
> For more details visit: https://insurancedatascience.org
> 
>