Designing a Holistic Model of Advice to Improve Retirement Planning. We aim to improve retirement planning through the design and application of a new model integrating financial advice with career and health planning to optimise financial and psychological outcomes. We will test a multidisciplinary, holistic model of advice combining specialist knowledge in careers, health, and finances. Expected outcomes of the project include evaluating the use of a broader range of experts during retirement ....Designing a Holistic Model of Advice to Improve Retirement Planning. We aim to improve retirement planning through the design and application of a new model integrating financial advice with career and health planning to optimise financial and psychological outcomes. We will test a multidisciplinary, holistic model of advice combining specialist knowledge in careers, health, and finances. Expected outcomes of the project include evaluating the use of a broader range of experts during retirement planning and developing a model for the future training and development of financial advisers.By optimising the timing of workplace exit, we aim to decrease reliance on pensions and encourage earlier and on-going engagement in the retirement planning process. This will provide significant social and economic benefits.Read moreRead less
Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of dep ....Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of deploying AI in insurance. Expected outcomes include novel ethical AI-based approaches to product design, pricing and claims administration. This should benefit insurers and consumers, realising efficiency gains made possible by AI, without unacceptable costs to privacy, fairness, and the unaccountable exercise of power. Read moreRead less
Better communication to solve the under-saving, under-spending puzzle. This project expects to develop evidence-based communication tools that promote life-time financial security, specifically investigating the puzzling and harmful tendency of people to under-save while working and under-spend while retired. To achieve this goal, it will design and experimentally validate innovative boosts to superannuation communication including income projections and goal-setting targeted at common misconcep ....Better communication to solve the under-saving, under-spending puzzle. This project expects to develop evidence-based communication tools that promote life-time financial security, specifically investigating the puzzling and harmful tendency of people to under-save while working and under-spend while retired. To achieve this goal, it will design and experimentally validate innovative boosts to superannuation communication including income projections and goal-setting targeted at common misconceptions and biases. It will use new structural modelling techniques to measure welfare changes. The expected outcomes are rigorous explanations for the saving-spending puzzle, and robust communication strategies for superannuation funds that will benefit workers and retirees by raising financial capability and confidence.Read moreRead less