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Submit a Manuscript to the Journal
Civil Engineering and Environmental Systems

For a Special Issue on
Uncertainty and MaxEnt - Conceptualising Uncertainty: Advances in Entropy Maximisation and Bayesian Inference - Applications in Engineering

Manuscript deadline
01 August 2022

Cover image - Civil Engineering and Environmental Systems

Special Issue Editor(s)

Tiku Tanyimboh, University of the Witwatersrand, Johannesburg, South Africa
[email protected]

Alan Jessop, University of Durham, UK
[email protected]

Paul W Jowitt, Heriot Watt University, UK
[email protected]

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Uncertainty and MaxEnt - Conceptualising Uncertainty: Advances in Entropy Maximisation and Bayesian Inference - Applications in Engineering

Conceptualising Uncertainty:

Engineers support communities worldwide as they face global challenges such as migration, population growth, urbanization, drought, floods, and climate change. They do this by delivering resilient and sustainable systems for water, energy, agriculture, transportation, and communications.

Uncertainty is present in all aspects of these tasks.

An inability to conceptualise and manage this uncertainty leads to poor decision-making and infrastructure management, with consequences extending from poor performance to ineffective resource use and low economic returns to society.

Entropy Maximisation and Bayesian Inference

In the 1960s the use of formal decision-making methods under uncertainty grew in various engineering contexts, and with it the use of Bayesian inference with probabilities being conditional on the available evidence, be it data or expert subjective opinion.  To minimise bias Edwin T Jaynes used Claude Shannon’s information theoretic concept of statistical entropy to generate least biased probability distributions.  The technique has found various applications in statistical and physical contexts, ranging from the analysis of water distribution networks, transportation, hydrometry and streamflow forecasting, and so on.  Evidence-based decision making is almost always based on incomplete data and Bayesian analysis and the entropy formalism are key to dealing with information limitations.

This Special Issue will look at some of the latest developments in this field.

Submission Instructions

This special issue of the journal will showcase articles proposing innovative approaches and applications for tackling uncertainty from a systems perspective to address pressing civil engineering problems. Forward looking pieces are particularly encouraged.

Please select Special Issue Title "Uncertainty and MaxEnt Special Issue" when submitting your paper to ScholarOne

The Editors will solicit submissions from leading systems researchers and practitioners.  Also, the Editors can be approached by those interested in contributing.  Submissions should be 3,000 to 6,000 words in length with accompanying graphics.

Submissions are due by 1st August 2022, with publication expected by December 2022

Instructions for AuthorsSubmit an Article

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