Call for Papers

Resource Sustainability and Energy Resilience

Submission deadline: Thursday, 30 April 2026

The sustainable management of geological resources and the resilience of energy systems are critical challenges in today’s rapidly changing climate. Traditional decision-making methods often struggle with the complexity of geoscientific data and the need to balance multiple factors, such as environmental, economic, and social impacts.

This Special Issue aims to explore the integration of multi-criteria decision analysis (MCDA) with artificial intelligence (AI) and machine learning (ML) to develop more robust data-driven decision frameworks for energy resilience and resource management. By combining AI’s predictive capabilities with MCDA’s structured approach, the Special Issue will focus on optimizing renewable energy systems, improving geohazard risk assessments, and ensuring sustainable resource utilization in geologically complex or climate-sensitive regions. We welcome studies that highlight practical applications and methodological advancements that can provide actionable insights for researchers, policymakers, and practitioners in the field.


Topics for this call for papers include but are not restricted to:

  • Application of AI-MCDA models for assessing the viability of geological resources, such as minerals, fossil fuels, and unconventional energy sources
  • Integration of geophysical, geochemical, and geospatial datasets into AI-MCDA frameworks for sustainable resource management
  • Use of AI-driven MCDA in evaluating and designing renewable energy infrastructure in regions prone to geohazards
  • Studies demonstrating how geological features influence the resilience of energy systems under climate stressors
  • Development of hybrid AI-MCDA frameworks for solving complex geoscientific decision problems
  • Advances in ML techniques for geospatial analysis and their integration with MCDA in georesource management
  • Integration of geochemical and geophysical datasets into AI-MCDA models for sustainable resource extraction
  • Optimization of resource utilization while minimizing environmental impacts

Guest Editors:

Prof. Syed Ahsan Ali Shah
University of Salamanca
Spain

Dr. Gordhan Das Valasai
Quaid-e-Awam University of Engineering
Pakistan

Sansar Raj Meena
University of Padova
Italy


Submission Guidelines/Instructions

Please refer to the Author Guidelines to prepare your manuscript. When submitting your manuscript, please answer the question: "Is this submission for a special issue?" by selecting the special issue title from the drop-down list.

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