Development funders and practitioners are increasingly recognizing that there are inextricable linkages between water resources management, social equality, and poverty reduction. Water resources are essential for human life, agricultural production, fish habitat, transportation, energy production, and other activities affecting people’s livelihoods. But while the social-hydrological dependency of watersheds and human life are known, it is not often factored into the basin-level modeling work that leads to watershed-level plans. This needs to change, if we are to ensure that sustainable environmental management contributes to social equality and poverty reduction efforts.
Researchers in SEI’s Water for Ecosystems and Livelihoods program are applying a new framework to include the interconnectedness of water, social equality, gender, and poverty reduction in the technical analysis of water models. These analytical tools enable decision-makers to address poverty and inequality in water resources plans.
This paper describes the development of poverty-related indicators in SEI's Water Evaluation And Planning (WEAP) tool.
This discussion brief outlines how the SEI US Centre can encourage the participation of women in capacity-building activities.
This document draws on SEI experience with WEAP and LEAP to provide guidance for mainstreaming gender and social equity issues into modelling studies
This World Water Day, six researchers share insights on the value of water and lessons learned on how to equitably manage and protect this valuable resource.
Clean, accessible water is a human right, and universal access is essential to global health. Effective water planning can help us get there.
Preliminary findings suggest poverty and gender affect access to water for the home, agriculture and fishing.
Farmers in Bolivia are struggling as their water supply becomes increasingly unreliable. Could better models lead to policies that help the most vulnerable?
SEI researchers take a first step toward water analysis that considers inequality, by developing poverty-related indicators in WEAP.