Intelligent nature-based solutions in the 1st smart sustainable Brazilian City: Insights and lessons learned

Adriano Bressane , Anna Isabel Silva Loureiro , Líliam César de Castro Medeiros , Rodrigo Moruzzi , Jorge Kennety Silva Formiga , Rogério Galante Negri , Antônio Carlos Varela Saraiva
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Abstract

As urbanization intensifies worldwide, the need for sustainable urban development becomes increasingly critical. This study introduces a novel approach, the Intelligent Nature-based Solutions (INbS), which encompasses the integration of nature-based approaches with intelligent systems. Drawing upon empirical context within the framework of the 1st Smart Sustainable Brazilian City, we engage in a perspective on the insights gained and lessons learned, offering strategic recommendations for guiding future INbS initiatives. It underscores the paramount significance of interdisciplinary collaboration, stakeholder engagement, and adaptive management strategies for the seamless amalgamation of these two domains, the technology and ecology. The study also probes into emerging challenges like the need for scalable, replicable models, ethical issues in data-driven decision-making, and the long-term effectiveness of INbS. By delving into these intricacies, this research seeks to contribute to a more profound comprehension of the potential and limitations inherent in the INbS within urban settings, particularly in emerging economies like Brazil.

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巴西首个智能可持续城市中基于自然的智能解决方案:洞察力与经验教训
随着全球城市化进程的加剧,可持续城市发展的需求日益迫切。本研究介绍了一种新方法,即基于自然的智能解决方案(INbS),它包括将基于自然的方法与智能系统相结合。根据巴西第一个智能可持续城市框架内的经验背景,我们对所获得的见解和经验教训进行了透视,为指导未来的 INbS 计划提供了战略建议。研究强调了跨学科合作、利益相关者参与和适应性管理策略对于技术和生态这两个领域无缝融合的重要意义。研究还探讨了新出现的挑战,如对可扩展、可复制模型的需求,数据驱动决策中的伦理问题,以及 INbS 的长期有效性。通过深入探讨这些错综复杂的问题,本研究旨在帮助人们更深刻地理解 INbS 在城市环境中,尤其是在巴西等新兴经济体中的内在潜力和局限性。
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