English

Peoples Water Data: A Scalable Student-Led Methodology for Global Water Security

Physics and Society 2025-10-08 v1

Abstract

Peoples Water Data proves that a people-powered, open-data model can deliver reliable household water evidence at scale, driving equitable decisions, accountability, and safer water where it is most needed.

Keywords

Cite

@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}
}

Comments

29 pages, 8 figures, 8336 words. Methodology paper