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 Requirements
Please 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.

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

• to present up-to-date solutions to technical problems,
• to share best practices and personal insights
• as well as to offer a forum for actuarial and data science experts.

The lectures relate to the following topics:

• Use cases – Predictive Analytics in insurance
• Use of unstructured data in actuarial tasks
• Enhancing the actuarial role
• Big Data in pandemic modelling
• Regulation in the context of trustworthy AI
• Explainable Artificial Intelligence (XAI)
• Use of consumer data to improve actuarial models
• Data storage: Modern approaches in times of Big Data
• Using modern statistical methods in traditional actuarial tasks in insurance and pensions
• Actuarial approaches using big data outside traditional fields
• Dynamic pricing – adjusting traditional pricing methods

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.

Keynote Speakers:

Dr Maximilian Poretschkin, Fraunhofer-Institute IAIS
Keynote: Trustworthy AI - Obligation or Entrepreneurial Opportunity? 
Ronald Richman, SA Taxi
Keynote: AI in Actuarial Science: Two Years on 

Lecturers:

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 Teams
Anja Friedrich, Synpulse Schweiz Management Consulting
- Investigating Applications of Data Science in UK and non-UK Actuarial Teams
Dr Benedikt Funke, Oliver Wyman
- Extension of Classical Data Science Tools by Text Mining for Claims Classification and Reserving
Razvan 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 Teams
Gráinne 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 Mining
Jacqui Niehaus, RGA
- Lifestyle Mortality & Underwriting: The Data, the Science and the Ethics   
Dr Oliver Pfaffel, Munich Re
- Techniques for Explainable Artificial Intelligence in Insurance
Petr 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