NSF2026: EAGER: Designing high performing novel landscapes to tackle climate change using gamification & crowdsourcing

环境变化将对城市产生不成比例的影响，因此适应和减缓工作至关重要。城市绿地对这些努力至关重要，并提供额外的好处，如娱乐和社区美化，在居民的福祉中发挥重要作用。作为创建弹性和宜居城市的更广泛目标的一部分，许多地方政府正致力于开发和加强绿地和树木覆盖。研究表明，当满足社区特定需求并与城市内外的其他自然区域相连时，城市绿地的功能最好。不幸的是，让居民参与绿色空间的设计既费时又费钱，而且很难确保连通性。为了应对这些挑战，该项目开发了土地。Info是一个交互式决策支持工具（DST），它结合了逼真的3D可视化和用户友好的界面，以促进有意义的社区参与多尺度的城市绿色空间设计。将采用在线众包的方式鼓励广泛参与和创造高性能的设计。通过强调社区需求和功能性绿色空间之间的重要联系，这种合作方式将确保社区在这些景观的创造和管理中发挥更大的作用。该奖项丰富了NSF2026创意机器获奖作品“设计的大型景观弹性”和“为未来的NSF创意机器设计生态系统”。目的是通过开发、实施和评估土地，为社区参与的绿色空间设计创造一种变革性的方法，以提高城市的环境弹性。信息DST。土地。Info将为用户提供一个逼真的3D模型，并附带一个显示适当规模的城市和区域级环境恢复目标的仪表板。仪表板提供了与选定指标相关的站点规模性能的实时反馈，以及对更大的景观规模连接和弹性的贡献。该系统将根据设计的表现向参与者提供反馈，并且DST将在线部署，以便众包众多设计方案。定性和定量方法将用于评估DST、协作方法和设计输出的有效性。该项目将在密歇根州的底特律和洛杉矶的新奥尔良进行，这两个城市容易受到产生雨水和沿海洪水的极端事件的影响，并且每个城市都面临着城市更新的更广泛挑战。该研究将通过创造新的工具和方法来支持社区参与的城市绿色空间设计，从而增强弹性、社会生态功能和人类福祉，从而潜在地造福居民和决策者。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Environmental change will disproportionately affect cities, making adaptation and mitigation efforts critical. Urban greenspaces are essential to these efforts and provide additional benefits like recreation and neighborhood beautification that play an important role in the well-being of residents. As part of wider goals for creating resilient and livable cities, many local governments are aiming to develop and enhance greenspace and tree cover. Research suggests that urban greenspaces function best when they meet community-specified needs and are connected to other natural areas inside and outside of cities. Unfortunately, it can be both time and cost prohibitive to engage residents in the design of greenspace and difficult to ensure connectivity. To address these challenges this project develops Land.Info, an interactive Decision Support Tool (DST) that combines realistic 3D visualizations and a user-friendly interface to facilitate meaningful community engagement in the design of urban greenspace at multiple scales. An online crowdsourcing approach will be used to encourage broad participation and the creation of high-performance designs. This collaborative approach will ensure a larger role for communities in the creation and management of these landscapes by highlighting the important connection between community needs and functioning greenspace. The award enriches the NSF2026 Idea Machine winning entries Large Landscape Resilience by Design and Designing Ecosystems for the Future NSF Idea Machine entries. The aim is to create a transformative approach to community-engaged greenspace design for environmental resilience in cities by developing, implementing, and evaluating the Land.Info DST. Land.Info will present the user with a realistic 3D model coupled with a dashboard showing scale-appropriate city- and regional-level environmental resilience targets. The dashboard provides real-time feedback about site-scale performance in relation to selected metrics, and contribution to larger landscape-scale connectivity and resilience. The system will provide feedback to participants based on the performance of the designs, and the DST will be deployed online in order to crowdsource numerous design alternatives. Qualitative and quantitative methods will be used to evaluate effectiveness of the DST, the collaborative approach, and design outputs. The project will be conducted in Detroit, MI, and New Orleans, LA, cities vulnerable to extreme events producing stormwater and coastal flooding, and each grappling with broader challenges of urban renewal. The research will potentially benefit residents and decision makers through the creation of new tools and approaches to support community-engaged design of urban greenspace for enhanced resilience, socio-ecological functioning, and human well-being.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.