Peoples Water Data：一种可扩展的学生主导的全球水安全研究方法
物理与社会
2025-10-08 v1
摘要
Peoples Water Data 证明了一种由民众驱动的开放数据模型能够以规模化的方式提供可靠的家庭用水证据，从而推动公平决策、问责制，并在最需要的地方保障更安全的用水。
引用
@article{arxiv.2510.05989,
title = {Peoples Water Data: A Scalable Student-Led Methodology for Global Water Security},
author = {Suzan Kagan and Sankar Sudhir and Ben Hamilton and Ramya Dwivedi and P. Amaravathy and Alona Maslennikov and Timor Lichtman and Sonali Seth and Tanmayaa Nayak and Ganesan Velmurugan and Hadas Mamane and Ram Fishman and Thalappil Pradeep},
journal= {arXiv preprint arXiv:2510.05989},
year = {2025}
}
备注
29 pages, 8 figures, 8336 words. Methodology paper