Collaborative Research: HNDS-R: Human Networks, Sustainable Development, and Lived Experience in a Nonindustrial Society

这个项目调查了人们之间的联系模式如何长期影响他们的生活质量。其目标是绘制出不同地点的人们之间的互动模式，并评估这些模式如何在不断变化的环境中影响其社区的发展。了解这些模式可以通过考古数据来完成，这些考古数据显示了古人是如何一起工作来满足人类的基本需求的。了解社会网络在过去是如何发展和变化的，可以更好地理解今天人们如何共同努力，促进繁荣、包容、环境可持续性和和平。这个项目汇集了来自多所大学、非营利组织和部落社区的研究人员。这些科学家利用考古证据调查了美国西南部800多年来社会互动的空间模式与生活质量之间的关系。他们将过去的人口、社会经济、健康和环境重建结合在一起，这些重建使用了以前nsf资助的项目的数据，并将其整合到一个单一的研究平台中。他们还利用这一平台，结合复杂系统和网络分析的思想，以联合国可持续发展目标的考古指标为评估基础，研究人类网络的空间特性如何影响人类发展的其他方面。研究结果将促进对社会空间网络如何影响可持续性和生活质量的理解。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。

This project investigates how patterns of connection between people affect their quality of life over the long term. The goal is to map out patterns of interaction between people in different locations and assess how these patterns impacted the development of their communities in a changing environment. Learning about these patterns can be accomplished with archaeological data, which show how ancient people worked together to meet basic human needs. Understanding how social networks grew and changed in the past can lead to a better understanding of how people today can work together for increased prosperity, inclusiveness, environmental sustainability, and peace. This project brings together a team of researchers from multiple universities, not-for-profit organizations, and tribal communities. These scientists use archaeological evidence to investigate relationships between spatial patterns of social interaction and the quality of life over 800 years in the southwestern United States. They combine demographic, socioeconomic, health, and environmental reconstructions of the past built using data from previous NSF-funded projects into a single research platform. They also use this platform, together with ideas from complex systems and network analysis, to examine how spatial properties of human networks influenced other aspects of human development, using archaeological indicators of the UN Sustainable Development Goals as the basis for assessment. The results will advance understandings of how socio-spatial networks influence sustainability and the quality of life.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.