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WATER FUTURES THROUGH A GENDER LENS: RETHINKING LOCAL PATHWAYS TO SUSTAINABILITY

Published 2026-05-18

Keywords

  • Sustainability,
  • Gender-based Management,
  • NLP,
  • Machine Learning,
  • Social Network Analysis

How to Cite

Forciniti, A., Zavarrone, E., & Friel, M. (2026). WATER FUTURES THROUGH A GENDER LENS: RETHINKING LOCAL PATHWAYS TO SUSTAINABILITY. Italian Journal of Applied Statistics. https://doi.org/10.36253/ijas-17400

Abstract

This study investigates gendered perspectives in the context of Nature-Based Solutions (NBS), focusing on local water management in Milan. A sample of audio-video interviews with governance stakeholders was transformed into a textual corpus, annotated with metadata on speaker roles and gender. A combination of natural language processing techniques and social network analysis was employed to identify thematic groups and recursive semantic patterns. Results revealed clear gender-based differences: women emphasize citizen participation, collaboration with science and culture, and focus on problem definition, viewing sustainable development as a gradual transformative process. Men, in contrast, prioritize specialized skills, territorial authority, and a circular flow of sustainable actions involving multiple actors. Key themes identified include urban territory, industries, politics, and civic participation, highlighting how gender shapes strategic approaches to local sustainable development.