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Open Call for Papers: Role of Big Data Analytics for Realizing Intelligent Water Networks

CFP Big Data ImageSmart Water welcomes submissions to the thematic series on the role of big data analytics for realizing intelligent water networks. We are looking for papers that demonstrate how intelligent water network technologies and big data analytics can be used to enhance urban water networks. The research work should demonstrate novel concepts and applications within one or more aspects of the entire network from supply through to distribution and the customer/end-user. Operational, forecasting, customer, finance, economic, engineering, social, science, and asset management dimensions are encouraged. The use of advanced data mining and pattern recognition techniques for providing novel ways to manage urban water resources are requested. Papers that unpack the interaction between water-energy data are particularly encouraged.

Read the full call for papers here.


About the Editor-in-chief

EiCThe Editor-in-Chief of Smart WaterJoong Hoon "Jay" Kim, is a professor at Korea University. He specializes in water engineering and hydroinformatics, and is a member of IWA and IEEE. His research interests include applying optimization and machine learning techniques to water management systems such as smart water management systems and micro water grid systems in smart cities, real-time management of urban water systems involving smart monitoring, telemetered systems, and sensor networks.

See the full editorial board.

Aims and Scope

Smart Water is a peer-reviewed open access journal published under the SpringerOpen brand. The journal covers areas like Smart City and Smart Water Issues, next-generation Smart Water Management, Artificial Intelligence for Smart Water, and others.

Read the full aims and scope.

Benefit from our free funding service

We offer a free open access support service to make it easier for you to discover and apply for article-processing charge (APC) funding.

Learn more here.


COVID-19 and impact on peer review

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Annual Journal Metrics

  • Speed
    80 days to first decision for reviewed manuscripts only
    61 days to first decision for all manuscripts
    153 days from submission to acceptance
    27 days from acceptance to publication

    21 Altmetric mentions

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