29 Jun 2021
EAA e-Conference on Data Science & Data Ethics
Organised by the EAA – European Actuarial Academy GmbH.
The actuarial focus has changed significantly over the last couple of years. Computational power is increasing with exponential growth, in addition more and more data is available. This combination puts the actuarial profession into a position where a new understanding has to be developed on today‘s possibilities of actuarial science and its ethical implications. The new role of actuaries within big data and ongoing digitalisation is not yet fully defined. Best practice experience sharing and exchange of ideas is needed. The EAA is delighted to offer all interested actuaries and other experts a forum for knowledge exchange:
On 29 June 2021, the second EAA e-Conference on "Data Science & Data Ethics" will take place live and virtually. The programme combines keynote speeches with food for thought from well-known experts and selected talks from professionals through a Call for Papers.
The Data Science & Data Ethics e-Conference is open to all actuaries and other interested experts.
Technical RequirementsPlease check with your IT department if your firewall and computer settings support web session participation (the programme GoToWebinar will be used for this online event). Please also make sure that you are joining the e-Conference with a stable internet connection.
Purpose and Nature
As the leading provider of high-class actuarial education and CPD activities in Europe, the European Actuarial Academy (EAA) will be hosting its second e-Conference on "Data Science & Data Ethics" with the aim
The lectures relate to the following topics:
Please have a look at the full programme for all details.
The best lectures have been selected from a call for papers with many high-class submissions. We are pleased to offer an excellent programme and to publish all presentation abstracts and lecturer details linked below.
Dr Maximilian Poretschkin, Fraunhofer-Institute IAISKeynote: Trustworthy AI - Obligation or Entrepreneurial Opportunity? Ronald Richman, SA TaxiKeynote: AI in Actuarial Science: Two Years on
Atreyee Bhattacharyya, IFoA AI & Automation in Life and Health Working Party- EHR Data Analytics-Opportunities and Challenges Antoine Chancel, SCOR- Survival Analysis & DataOps Valerie du Preez, Dupro- Investigating Applications of Data Science in UK and non-UK Actuarial TeamsAnja Friedrich, Synpulse Schweiz Management Consulting- Investigating Applications of Data Science in UK and non-UK Actuarial TeamsDr Benedikt Funke, Oliver Wyman- Extension of Classical Data Science Tools by Text Mining for Claims Classification and ReservingRazvan Ionescu, SCOR- Survival Analysis & DataOps Samuel Mahy, Reacfin- Explainable Machine Learning Xavier Maréchal, Reacfin- Explainable Machine Learning- Investigating Applications of Data Science in UK and non-UK Actuarial TeamsGráinne McGuire, Taylor Fry- Building Trust in A Government's Use of Algorithms John Ng, IFoA Data Science Research Section- NLP and Machine Learning in Social Media Opinion MiningJacqui Niehaus, RGA- Lifestyle Mortality & Underwriting: The Data, the Science and the Ethics Dr Oliver Pfaffel, Munich Re- Techniques for Explainable Artificial Intelligence in InsurancePetr Václav, RGA- Lifestyle Mortality & Underwriting: The Data, the Science and the Ethics Sarah Johanna Zech, Allianz SE- How Privacy & Ethics Impact Assessments Strengthen AI Governance
Dr Stefan Nörtemann (msg life)
Dr Jürg Schelldorfer (Swiss Re)
Henning Wergen (EAA)
Sponsors of the e-Conference
Media Partner of the e-Conference