Scholars and practitioners have been working on methodologies to measure water security at a variety of scale and focus. In this paper, we critically examine the landscape of water security metrics, discussing the progress and gaps of this rich scholarship. We reviewed a total of 107 publications consisting of 17 conceptual papers and 90 methodological papers that propose 80 metrics to measure water security and observed that there are two dominant research clusters in this field: experiential scale‐based metrics and resource‐based metrics. The former mainly focus on measuring the water experiences of households and its impact on human well‐being, while the majority of the latter assess freshwater availability or water resources security. We compare their approaches and the arguments used to develop them. We posit that the more local the scale and the more specific the water domain, the more meaningful results that the metrics can provide. Acknowledging the interrelationship between different water domains (e.g., water resources and water hazards) is important, but their aggregation for measurement may be problematic. We offer our views on future work in this field relating to topics beyond water, the need to conduct validation tests, and collaboration among academics and with other stakeholders.This article is categorized under: Human Water > Human Water

(2020). Water insecurity compounds the global coronavirus crisis. Water International. Ahead of Print.

With increasing concentrations of atmospheric greenhouse gases, the interaction between climate change and agriculture is receiving widespread attention as part of food security and sustainable human development. However, a comprehensive summary of knowledge in the field of climate change and agriculture from a scientometric perspective is still lacking. Here, we selected 25,872 papers related to climate change and agriculture from the Web of Science Core Collection database for the period 1985 to 2023 and used VOSviewer software to reveal the research status and trends. The main results were as follows: (1) the number of papers in this field showed a rapidly increasing trend after 2007, with a clear interdisciplinary characteristic; (2) The United States was the most influential country in this field with 6819 papers and 363,109 citations. China had the second highest number of papers (3722 papers), but the Chinese Academy of Sciences was the most influential institution with the most papers. On an author level, Pete Smith was the most influential; (3) All keywords were divided into four different research topics, such as the impact of climate change on agriculture, climate change mitigation and adaptation in agriculture, and crop growth in response to climate change. Among them, some keywords related to climate change adaptation were the most recent topics of interest in this field. These findings provide effective scientific references for relevant scientists and practitioners to better conduct future theoretical and practical research on climate change and agriculture.

Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster risk reduction. It is essential to explore how AI enhances understanding of legal frameworks and environmental management, while also examining how legal and environmental factors may limit AI's role in society. From a co‐production review perspective, drawing on insights from lawyers, social scientists, and environmental scientists, principles for responsible data mining are proposed based on safety, transparency, fairness, accountability, and contestability. This discussion offers a blueprint for interdisciplinary collaboration to create adaptive law systems based on AI integration of knowledge from environmental and social sciences. When social networks are useful for mitigating disaster risks based on AI, the legal implications related to privacy and liability of the outcomes of disaster management must be considered. Fair and accountable principles emphasize environmental considerations and foster socioeconomic discussions related to public engagement. AI also has an important role to play in education, bringing together the next generations of law, social sciences, and natural sciences to work on interdisciplinary solutions in harmony. Although emerging AI approaches can be powerful tools for disaster management, they must be implemented with ethical considerations and safeguards to address concerns about bias, transparency, and privacy. The responsible execution of AI approaches, based on the dynamic interplay between AI, law, and environmental risk, promotes sustainable and equitable practices in data mining.

We seek to advance a critical and relational concept of urban water security that theorizes urban processes in relation to the hydro-social dynamics that produce experiences of water securities and insecurities at multiple scales. Our intention is to set out an analytical framework that both examines the social relations that underpin water insecurity and goes beyond the urban as merely the context in which water provision and risk take place. We seek to mobilize this concept to envision meaningful water policies and hydro-social practices to enhance social equity and empowerment for urban communities.

This article examines water crises in three megacities (São Paulo, Rio de Janeiro, and Jakarta) in the Global South. While crises can delegitimize the dominant water policy and lead to policy change, this does not necessarily come about in all cases. Drawing data from key informant interviews, newspaper articles and policy documents, and using Steven Lukes’ three faces of power framework, we observe how crisis framing has reinforced large infrastructures for water supply and flood protection. In the three case studies, powerful actors combined the three faces of power to shape public opinion in pursuit of their own agendas.