Our Sessional Research Programme provides our members and other stakeholders the opportunity to present and discuss research which advances actuarial science and complements the objectives of the IFoA. If you have an idea for a sessional meeting or would like to present your research please read Guidance for researchers.
Our Sessional Research Programme also includes seminar series and our Spring and Autumn Lectures. The IFoA works with members and other stakeholders to identify and raise awareness of forthcoming policy issues that are relevant to actuaries and the IFoA and of public interest. Seminars which cover such issues may be included in the programme.
Our Spring and Autumn Lectures provide the opportunity to hear from a diverse range of eminent speakers on current subjects of public interest. The broad range of topics covered reflects our aim to nurture thought leadership and knowledge exchange.
Sessional Research Programme 2016/2017
Health and Care hot topicsSessional Research Meeting,6 July 2017
Chaired by Nick Reilly, this sessional event showcased a series of short research papers on hot topics in health and care, while providing ample time for discussion and debate
Model risk: Illuminating the Black BoxSessional Research Meeting, 29 June 2017, Edinburgh
Winners of the Peter Clark prize for their research paper, Model Risk: Daring to open the Black Box the Model Risk Working Party will present their Phase 2 findings, Model Risk: Illuminating the Black Box
Do customers understand our life insurance products?Sessional Research Meeting,19 June 2017, in London
This paper is the culmination of the work of the Risk and Customer Outcomes Working Party which was set up to consider whether customers adequately understand the risks and outcomes associated with life insurance products, how to avoid poor (or indeed maximise good) customer outcomes and finally to consider ongoing risk management through the product life cycles from a customer perspective
A review of Solvency II - has it met its objectives?
Spring 2017. Antimicrobial resistance: Global threat to health and economy
How can the IFoA help individuals to make better retirement choices?Sessional Research Meeting, 24 April 2017, Edinburgh. Presentation by the Rationale in Retirement Behaviour Working Party, sponsored by the Pensions Board, which has created an interactive tool which aims to help individuals to make more informed retirement income decisions.
IRM - Putting theory into practice for UK DB Pension SchemesSessional Research Meeting, 20 March 2017, at Staple Inn, London. Presented by members of the Integrated Risk Management Working Party: Andrew Hitchcox (chair), Chinu Patel, Chris Ramsey, Ed Studd, Lok Ma, Marian Elliott, and Tim Keogh
The Working Party has developed some practical hints and tips for those developing Integrated Risk Management (IRM) plans for UK Defined Benefit (DB) pension schemes in the context of the requirements of the Pensions Regulator (TPR).
The future of Solvency II in the UK. Treasury Select Committee debrief and Working Party updateDual-site Sessional Research Meeting, 23 January 2017, at Staple Inn, London, and the Royal College of Physicians, Edinburgh. Speakers: Andrew Chamberlain, Chair, Life Board, and the IFoA's representative at the Treasury Select Committee
Sustainable retirement solutions - are there any durable solutionsSessional Research Meeting, 12 December 2016, at Staple Inn, London. Speakers: Marcus Hurd (Xerox HR Services), Jenny Richards (BBS Consultants and Actuaries) and Dr Iain Clacher (Leeds University)
Autumn Lecture 2016. Exploring a new relationship between the United Kingdom and the European Union. Vicky Ford MEP
Ersatz model testsSessional Research Meeting, 27 June 2016, at Staple Inn, London. Speakers: Andrew D Smith, Deloitte; Stuart Jarvis, Black Rock; James Sharpe. Meeting chaired by Paul Fulcher, Chair, Life Research Committee
This paper describes how statistical methods can be tested on computer generated data from known models. We explore bias and percentile tests in detail, illustrating these with examples based on insurance claims and nancial time series.
If you have any questions or wish to discuss any aspect of our research and thought leadership programme please contact the Research and Knowledge Team.