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Sessional Research Programme and knowledge exchange

The Institute and Faculty of Actuaries' (IFoA's) Sessional Research Programme is a high quality forum that disseminates research and promotes involvement and discussion from members and other stakeholders

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.

Knowledge exchange

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

  • Sustainable retirement solutions - are there any durable solutions
    Sessional 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
    Thought Leadership Lecture given on 7 December 2016, in Edinburgh

  • Ersatz model tests
    Sessional 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.

Contact Details

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.