Abstract

Aging is continuously depicted as a force majeure event despite clear and robust premonitions of its coming. However, such depiction serves to justify the unpreparedness and inadequacy of policies manifesting in loneliness and isolation, unsatisfied demands in health and social care, lack of suitably inclusive residential and social facilities, and inequitable access to support and services. Recent years have seen an increase in social innovation that involves alternative transaction models, such as time-banks and circular economies. These initiatives represent collective responses to changes and challenges such as aging by identifying and innovatively capturing and exchanging locally- and freely- available assets with the intent to fulfill economic needs (more affordable goods and services), social ambitions (skills development and exchange, repurposing space, social inclusion, and cohesion) environmental aspirations (up-cycle) and psychological needs (sense of purpose, identity, belonging, recognition). Whilst it is often assumed that ad hoc measures are appropriate to resolve the challenges posed by an aging demographic, the learnt assumption that underpins this work is that aging is a systemic issue and ought to be understood, and resolved, in its context, not by producing niche- relevant policy and interventions, but considering the impacts it has on the whole society. Henceforth it is proposed that truly transformative social innovation for the aging population must consider and resolve the challenges of communities as these are where older adults can stay relevant socially and, in the presented approach, also economically. Through the review of four international case studies, a framework with four cornerstones has emerged. This includes the changing role of local and central governments, the models of value creation, co-creation mechanisms, and finally, technology, especially digital social currency. The concurrent presence of the four factors in the framework is not always a requirement for social innovation to emerge and flourish. However, the presented analysis suggests that all four themes have an impact even when not being direct agents of social innovation. The authors conclude by making a case for developing Living Labs for Aging-in-Place, to experiment and study proposed solutions for systemic challenges facing the aging population, grounded in community-led schemes.

Highlights

  • Across post-industrial societies population aging continues to be portrayed as a force majeure event despite clear and robust indicators that have long warned of its coming and inevitability

  • While it is only sensible for societies to consider how the deployment of technology may support aging, starting from making technology more inclusive, the fulfillment of some human needs by technology is hardly imaginable, such as the need for personal identity or to feel relevant and valued as a member of society

  • In the exploration and discovery of how to deal with such unprecedented change as that represented by population aging, social innovation and ecosystems capable of fostering social innovation might make pivotal contributions

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Summary

Introduction

Across post-industrial societies (and the political spectrum) population aging continues to be portrayed as a force majeure event despite clear and robust indicators that have long warned of its coming and inevitability. This portrayal serves to excuse the unpreparedness and inadequacy of policies, including lack of financial planning and investment, that manifest in insufficient residential and social facilities for older citizens, poor quality in health and social care, inequitable access to support and services, loneliness, isolation, limited choice, and unmet demands. Statutory services are only capable of intervening in advanced cases where highly-qualified expertise is needed, usually when the client has become severely reliant and just before accessing residential care facilities. At the cusp of a “crisis” in adult social care which, given these intersecting constraints and demands, will require novel solutions but novel ways of finding solutions

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