Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

What is the role of the model in socio-hydrology? Discussion of “Prediction in a socio-hydrological world”

Lieke Melsen, Jeroen Vos, Rutgerd Boelens

Hydrological Sciences Journal · 2018

Read source ↗ All evidence

Summary

This commentary responds to Srinivasan et al.'s work on long-term socio-hydrological prediction by advancing the argument that socio-hydrological modelling requires explicit recognition of embedded assumptions, uncertainties, and value-laden choices. The authors contend that models function as social and political actors, not neutral technical tools, and advocate for transdisciplinary approaches and stakeholder engagement to ground understanding of variables of interest in socio-hydrological systems.

UK applicability

The critique applies broadly to UK water management and policy contexts where models inform decisions on water allocation, drought resilience, and agricultural water use. Policymakers and water resource managers in the UK should consider these arguments when commissioning or relying on socio-hydrological models for strategic planning.

Key measures

Not applicable; this is a conceptual critique rather than an empirical study

Outcomes reported

The paper critiques approaches to socio-hydrological modelling and prediction, arguing for acknowledgement of model limitations, uncertainties, and inherent biases. It emphasises that models are not value-free instruments but rather social and political actors shaped by societal contexts.

Theme
Policy, governance & rights
Subject
Other / interdisciplinary
Study type
Commentary
Study design
Commentary
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1080/02626667.2018.1499025
Catalogue ID
SNmokbw00s-1xsibj

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.