Modern Applications for Computational Methods in Applied Economics and Business Engineering

Dear Colleagues,

The present era's profound social and technological changes have enormously impacted economic interaction among the various actors involved, whether individuals or businesses. Today, computation in science and engineering is concentrating significant efforts on improving understanding of issues involving big data and extensive computations, as well as complex modeling, simulation, optimization, and visualization. Specifically, computational economics is currently an emerging discipline that is called to be intensively used in discovering knowledge gaps through the tools and techniques provided by computer simulation, particularly those based on artificial intelligence, machine learning, and neural networks. This interdisciplinary research discipline combines theoretical and empirical methods to solve complex economic problems. Thus, it is not only a tool for responding to socio-economic challenges but also a way of facing global challenges concerning political systems, socioeconomic structures, and wealth distribution. Moreover, such modern techniques for computational social science can provide cutting-edge approaches in this interdisciplinary field, which has been attracting significant interest among social scientists, computer researchers, and statistical scholars alike. Therefore, this Special Issue features recent studies on computational approaches to data analysis and modeling complex problems, improving the understanding of computational social science and its engineering applications.

This Special Issue is also intricately linked to the EASN2025 conference (https://easnconference.eu). For submissions of works presented at the conference, please be aware that manuscripts’ acceptance is contingent upon submitting a certificate of attendance. Please note that the EASN2025 conference does not allow the option of virtually presenting communications to the congress.

Nevertheless, unprecedented works outside the conference sphere will always be welcomed if original manuscripts are valuable for the scientific community within the scope of this Special Issue.

The topics of this Special Issue include, but are not limited to:

• Innovative computation in the sustainable aerospace industry;
• Modern computation for engineering technology and applied sciences;
• Computational intelligence for transportation and logistics towards sustainability;
• Computation-aided studies in mobility for the intensive use of renewable fuels;
• Computational methods and models for social studies;
• Computer simulation applications in economics;
• Artificial intelligence in social science;
• Financial market prediction;
• Social Computing.

Dr. Antonio Martínez Raya
Dr. Manuel Uche-Soria
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.