We are looking for presentations in data science, machine learning, artificial intelligence, computational statistics and software as applied in the insurance context.

The call for abstracts is open. It closes in:

Please send your abstract by 25 February 2022.

Your abstract submission should include:

• Name and affiliation of the speaker
• List of co-authors
• Title of the presentation
• Abstract of 10 to 20 lines and not more than 5 references

Please edit this Markdown template and send it to: [email protected]

The submitted abstracts will be evaluated and abstracts will be selected by the scientific committee of the conference. Conference fees will be waived for speakers whose abstracts are accepted.

Participants will be invited to submit an extended full paper for peer-reviewed publication in special issues.

Two alternative special issues will be available for participants on the journals Risks and Quality & Quantity.

Details about the special issues can be found at the following links:

• Risks

• Quality & Quantity

Tentative Programme

Local times given for Italy (UTC +1)

15 June

• 17:00-19:00 Registration and reception for in-person delegates

16 June

• 9.00 - 9.30 Opening session
• 9.30 - 10.30 Short talks
• 10.30 - 11.00 Coffee break
• 11.00 - 12.00 Keynote: TBD
• 12:00 - 12:30 Lightning talks
• 12:30 - 14:00 Lunch break
• 14.00 - 15.30 Keynote speaker + panel discussion
• 15.30 - 16.30 Short talks
• 17.00 - 18.00 Short talks
• 20:00 Conference dinner

17 June

• 9.30 - 10.30 Keynote: TBD
• 10.30 - 11.00 Coffee break
• 11.00 - 12.00 Short talks
• 12:00 - 12:30 Lightning talks
• 12:30 Closing remarks

Keynote Speakers

• Markus Senn, Head of Analytics, Life & Health Europe at Partner Re
• Julien Trufin, Professor of actuarial science at the Université Libre de Bruxelles (ULB), Department of Mathematics

Registration for the 2022 conference opens 20 January 2022, early bird registration will close 31 March 2022, with late registration closing 4 June 2022.

A maximum number of 200 in-person participants will be accepted.

Early bird registration

In case an in-person event will not be allowed due to Covid pandemic constraints, attendances that paid the “in-person fee” will be refunded the difference of the in-person and on-line fee.

The registration fee for a full delegate covers the following:

• e-Conference materials (i.e. e-programme, certificate)
• Coffee and lunch breaks (in-person)

Please note that the Conference Gala Dinner on Thursday is not included in the registration fee. An additional fee will be requested for attending the social dinner. Details about the conference gala dinner will be published later, depending on the Covid pandemic constraints

To proceed with the registration, please follow this link

For any clarification about the registration form please write to [email protected]

Late registration

Fees will increase by €100 for all tickets from 1 April to 4 June 2022

Fees for presenters

Fees are waived for participants whose abstracts have been selected for presentation by the scientific committee.

Emerging countries

Countries classified as developing countries for this purpose are those whose economies are listed by the World Bank as “Low income” or “Lower Middle Income” in the World Bank list of economies. Delegates must be residing, working and be employed in a developing country to qualify for the reduced rate.

You can check the list of emerging countries here. We will check your country and based on this list, you will be granted the emerging countries fee.

In the event somebody registers at the emerging countries rate whilst not living in that country, we keep the right to cancel this registration.

Gold Sponsors

• Swiss Re

  

• Banca Mediolanum S.p.A.

  

• Leithà Srl

  

Silver Sponsors

• Mirai Solutions

  

• HDI Assicurazioni

• 24hAssistance

Partnerships

• Faculty of Banking, Finance and Insurance Sciences, Università Cattolica del Sacro Cuore

  

• ASTIN

  

• Association for Mathematics Applied to Social and Economic Sciences (AMASES)

  

• Italian Statistical Society (SIS)

• Center for Applied Statistics in Business and Economics

• Katrien Antonio (KU Leuven and University of Amsterdam)
• Christophe Dutang (Université Paris Dauphine)
• Arthur Charpentier (Université du Québec à Montréal)
• Gian Paolo Clemente (Università Cattolica del Sacro Cuore, Milano)
• Markus Gesmann (Insurance Capital Markets Research, London)
• Ioannis Kyriakou (City, University of London)
• Davide de March (Markel, London)
• Silvana Pesenti (University of Toronto)
• Rosalba Radice (City, University of London)
• Ronald Richman (SA Taxi, South Africa)
• Nino Savelli (Università Cattolica del Sacro Cuore, Milano)
• Jürg Schelldorfer (Swiss Re, Zurich)
• Giorgio Alfredo Spedicato (Unipol Group, Milan)
• Andreas Tsanakas (City, University of London)
• Mario Wüthrich (ETH Zurich)
• Diego Zappa (Università Cattolica del Sacro Cuore, Milano)
• Rui Zhu (City, University of London)

Università Cattolica del Sacro Cuore

The congress will take place at Università Cattolica del Sacro Cuore (Largo Gemelli 1, Milan) in the centre of Milan.

The university has a rich history, which you can read about here and here.

A brief description about what to see in Milan is available on-line and more information about its main monuments and tourist attractions can be found here.

Getting there

• From Malpensa airport, we suggest to take the train: Malpensa - Milano Cadorna
• From the Central Station, we suggest to take the metro M2 (green line) from the Central Station to Sant’Ambrogio, see Metro Map
• From Linate airport, it is possible to reach the University via bus number 73 (from Linate airport to Piazza Velasca) and then 20 minutes walk. Alternatively a shuttle connects Linate Airport to the Central Station.

More information about how to reach the campus can be found on the university web site.

Staying in Milan

There are a number of hotel options local to the University as well as other alternatives. We suggest to find an accommodation close to Università Cattolica del Sacro Cuore in the area Sant’Ambrogio-Cadorna (city centre and close to the University).

We recommend to book the accommodation in advance. Here is a non-exhaustive list of possible hotels close to the University (less than 15 minutes walk):

• Hotel Palazzo delle Stelline Go to the university from here
• Mokinba Hotels King Go to the university from here
• Genius Hotel Downtown Go to the university from here
• Hotel Pierre Milano Go to the university from here
• Hotel Ariston Go to the university from here
• Hotel Mentana, by R Collection Hotels Go to the university from here
• Hotel Regina Go to the university from here
• Antica Locanda Leonardo Go to the university from here
• Hotel Sant’Ambroeus Go to the university from here
• Hotel Vecchia Milano Go to the university from here

There is also the possibility to book the accommodation through the tourist agency that supports the University. If you are interested, please contact [email protected]