IDEAS Factory - Curative Resilience Scoping Study

组织和社区有一个目标(组织的目标可能比社区的目标更具体)--那就是定义它们的东西；让它们变得独特的东西。成功组织的结构和组织方式、资源分配方式和活动都集中于实现这一目标。复原力不是一个组织或社区本身的目的，但成功的组织将具有相关的功能和特点，具有弹性的能力。然而，很难确定一个组织的那些有助于弹性的功能和特征，以便人们能够提取它们来产生一个普遍的弹性模型，以供广泛应用。生物医学的隐喻--生物--能够做很多事情，并可以同时解决多种目的。它也是有弹性的，除非有意识地指导，否则它没有根本目的。我们建议开展一项范围界定研究，利用生物医学隐喻探索弹性蓝图(影响后续设计或实践的原始计划或原型[1])的开发，组织和社区可以使用该隐喻来评估他们适应或发展以变得有弹性的需求。社会系统天生就是复杂的，社会主体被困在彼此联系的网络中，通过各种适应性的过程，他们必须成功地在他们的世界中导航。复杂的适应性社会系统经常被建模以帮助理解系统内的代理人和系统本身的行为[2]。作为结果，行为很难预先确定，建立模型的一个挑战是将适当的主体行为包括在一组包括公民、社区和组织在内的人类社会系统的背景下，将其结果纳入特定行为，如韧性。使用其他系统方法探索本质上具有弹性的复杂适应系统，如人类，可能提供对必要的较低级别组件以及这些组件的行为规则的洞察，从而可以开发和验证特定的模型。在系统方法的范围中，有三种方法特别适合这个阶段：软系统方法(SSM)、可行系统模型(VSM)和系统动力学(SD)。就个人而言，这些方法有助于从不同的角度洞察复杂的人类活动系统，并记录相关的心理模型和参与者的共识，为讨论研究结果提供基础。然而，我们断言，当一起使用时，可以获得更大的一致性和洞察力。探索这一点将是范围研究的另一个好处。为了评估开发的蓝图并确定进一步的研究可行性，我们将进行一段时间的咨询，并与广泛的社区举行为期两天的研讨会，以评估蓝图的可用性和好处，以充分证明并定义一个完整的研究计划，将研究工作扩展到包括模拟。[1]柯林斯英语词典-完整和未删节的第六版2003。William Collins Sons&Co.Ltd.1979,1986，HarperCollins出版商1991,1994,1998,2000,2003[2]Miller，J.H.和Page，S.E.，《计算模型导论》，普林斯顿大学出版社，2007

Organisations and communities have a purpose (the organisation's may be more specific than the community's) - that is what defines them; what makes them unique. The way successful ones are structured and organised, how resources are deployed and what activities they undertake are all focused on achieving that purpose.Resilience is not a purpose of an organisation or community per se, but successful organisations will have relevant functions and features, the capability, to be resilient. However, it is difficult to identify those functions and features of an organisation that contribute to resilience such that one can extract them to produce a generalised model of resilience for broad applicability.The living being, the biomedical metaphor, is capable of many things and can address a multiplicity of purposes, often simultaneously. It is also resilient, It has no essential purpose unless directed consciously. We propose to undertake a Scoping Study to explore the development of a blueprint (an original plan or prototype that influences subsequent design or practice [1]) for resilience using the biomedical metaphor that organisations and communities can use to assess their need to adapt or develop to become resilient. Social systems are innately complex, with social agents enmeshed in a web of connections with one another and, through a variety of adaptive processes, they must successfully navigate through their world [2]. Complex adaptive social systems are often modelled to help understand the behaviour of both the agents within the systems and the system themselves [2]. Behaviour, being the outcome, is difficult to predetermine and a challenge of model building is to include the appropriate agent behaviour to incorporate that results in a specific behaviour such as resilience within the context of a set of human social systems that include citizens, communities and organisations.Using other system methods to explore an essentially resilient, complex adaptive system, such as the human being, may provide insight into the necessary lower-level components, and the behavioural rules of those components, such that a specific model can be developed and validated. Of the range of systems methods, three have a particular suitability for this stage: Soft Systems Methodology (SSM), the Viable Systems Model (VSM) and System Dynamics (SD). Individually the methods help provide insight into complex human activity systems from different perspectives and record the related mental models and consensus of those involved to provide a basis for discourse on the findings. However, we assert that when used together even greater coherence and insight can be gained. Exploring this will be an additional benefit from the scoping study.To evaluate the developed blueprint and determine further research viability, we will undertake a period of consultation, and hold a 2-day workshop with a broad set of communities, to assess the usability and benefits of the blueprint sufficient to justify and define a full research programme that extends the research work to include simulation.[1]Collins English Dictionary - Complete and Unabridged 6th Edition 2003. William Collins Sons & Co. Ltd 1979, 1986, HarperCollins Publishers 1991, 1994, 1998, 2000, 2003[2] Miller, J. H. and Page, S. E., Complex Adaptive Systems; an introduction to computational models, Princeton University Press, 2007