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Cultural, creative, and complex: A computational foundation of culture-driven urban governance

机译:文化、创意和复杂性:文化驱动型城市治理的计算基础

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? 2023 Elsevier LtdCulture and creative production have an important but somewhat elusive role in urban development. None of the many conceptual paradigms that have been proposed so far to explain it has turned out entirely satisfactory. We argue that the main reason behind this failure is the implicit linear thinking that informs all these approaches: namely, the idea that a few, major drivers explain urban development through a direct, clearly readable systemic impact. Cities are complex socio-environmental systems whose functioning depends on the concurrent interaction of many different factors which cannot be reduced to the action of a few, simple causal forces. Failing to understand such complexity easily leads to dysfunctional urban governance approaches. In this paper, we analyze a database of 144 European cities as described by 58 variables belonging to different domains, as designed by a preliminary stage of the Cultural and Creative City Monitor (CCCM). Our analysis builds on innovative machine learning techniques (PST) and on the Minimum Spanning Tree (MST) representation to map the structural interdependencies between the cultural and non-cultural sectors in cities with a strong cultural policy orientation. This toolbox carries considerable potential for precision cultural policies and data-driven urban governance strategies of the future.
机译:?2023 爱思唯尔有限公司文化和创意生产在城市发展中扮演着重要但有些难以捉摸的角色。到目前为止,为解释它而提出的许多概念范式中,没有一个是完全令人满意的。我们认为,这种失败背后的主要原因是隐含的线性思维,这种思维为所有这些方法提供了信息:即,少数主要驱动因素通过直接的、清晰可读的系统性影响来解释城市发展。城市是复杂的社会环境系统,其运作取决于许多不同因素的并发相互作用,而这些因素不能简化为少数简单的因果力量的作用。不了解这种复杂性很容易导致城市治理方法失灵。在本文中,我们分析了144个欧洲城市的数据库,这些数据库由属于不同领域的58个变量描述,由文化和创意城市监测(CCCM)的初步阶段设计。我们的分析建立在创新机器学习技术 (PST) 和最小生成树 (MST) 表示的基础上,以绘制具有强烈文化政策导向的城市中文化部门和非文化部门之间的结构性相互依存关系。这个工具箱在未来制定精准的文化政策和数据驱动的城市治理战略方面具有相当大的潜力。

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