Topical Collection on "Specialization Trends in Computational Economics"

A topical collection of Digital Technologies Research and Applications (DTRA) (E-ISSN: 2754-5687).
Deadline for manuscript submissions: 1 April 2025

Collection Editors:

Dr. Kyriaki Tsilika
Department of Economics, University of Thessaly, Volos 38333, Greece
Research Interests: computational economics; data visualization; information visualization; graph theory; computational mathematics; computer algebra systems

Dr. Athanasios Stavrakoudis
Department of Economics, University of Ioannina, Ioannina 45110, Greece
Research Interests: copula models; asymmetry and dependence; time series; networks and complex systems

Topical Collection Information:

Dear Colleagues,

The use of computers, software, AI tools, datasets, and computer programs has now become a core component in Economics Research and in Teaching Economics. Business intelligence operations, programming in open-source languages, digital media monitoring, understanding and using data repositories, performing data analyses, creating graph analytics to describe real-world economic and financial activities, are required skills for young scholars.

This issue seeks the computational framework to propose specific strategies necessary for dealing with different types of data, to develop inductive and deductive approaches for investigating substantive relationships between economic or financial entities, to contribute to economic policy development, to enhance curricula in Economic Departments. We aim to foster computational trends on Economics and Decision Sciences, stimulating interest in specialization trends, and sharing good practices.

We encourage economists, computer scientists, mathematicians, statisticians, econometricians, who have an interest in computer-aided research in economics and decision sciences to submit their work. We expect contributions to thoroughly describe their methods and to allow reproducibility (e.g., by sharing code and, when possible, data).

Topics include, but are not limited to, the following:

Software for Mathematical Calculus in Economics
Quantitative Economics with open-source languages
Computer-assisted qualitative data analysis (content analysis, discourse analysis, thematic analysis, narrative analysis, etc.) in particular fields of economics
Software comparison/software review
The evolution of topics or sub-fields of Economics with computers and software
AI systems to powerful, accurate and current computation and knowledge in Economics
AI applications in academic writing in economic databases
AI in financial reporting, research, and practice
Digital didactic tools for teaching Economic Models
Economic Networks
Existing tools and technologies for monitoring, visualization, and analysis of national statistics
Digital economy, Open data
Big data and analytics for better managerial decision-making in public and private sectors

Dr. Kyriaki Tsilika
Dr. Athanasios Stavrakoudis
Collection Editors

Keywords:

data analytics
big data analytics
databases
digital didactic tools
open-source languages
artificial intelligence
economic modelling

Manuscript Submission Information:

Please visit the Submissions Guidelines page before submitting a manuscript. Submitted papers should be well formatted and use good English. Manuscripts should be submitted online through the online manuscript submission and editorial system. Additionally, please include a cover letter specifying that the manuscript is intended for the Topical Collection "Specialization Trends in Computational Economics" when submitting it online. Manuscripts can be submitted until the submission deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the Topical Collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract can be sent to the Editorial Office dtra@ukscip.com for announcement on this website.

The Article Processing Charge (APC) for publication in this open access journal is 300 USD. Authors who are unable to cover this cost or those who are invited to submit papers may be eligible for discounts or waivers.

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 double-blind peer-review process.

Published Papers:

This Topical Collection is now open for submission.

Planned paper information:

Title: Integrating Data, Paradata,Administrative Data and Metadata in Quantitative Social Science Research: Enhancing Quality, Transparency and Replicability

Abstract: This paper examines the integration of data paradata, administrative data, and metadata in quantitative social science research to enhance quality, transparency, and replicability. It defines and differentiates these data types, discussing their sources, collection techniques, standards, protocols, tools, and technologies. The challenges, limitations, roles in data management, and applications in social science research are analyzed, with attention to ethical implications and privacy concerns. Through a literature review of case studies, including the methodological guidelines of studies such as the European Social Survey (ESS), the Gender-Based Violence (GBV) Survey by Eurostat and the Programme for the International Assessment of Adult Competencies (PIAAC) by OECD, the research highlights the integration of these data types. Results show that modern quantitative research includes data and metadata, which should be disseminated to promote transparency and adhere to FAIR and OPEN principles for reuse and analysis reproduction. Paradata, mainly used for quality control during data collection, are rarely disseminated but influence the final research product. Administrative data from large-scale surveys, registries or censuses are used for comparative measures and ex-post adjustments. The paper concludes by identifying emerging trends, potential enhancements in research. methods, and technological advances, emphasizing the importance of integrating these data types for future research.
Keywords: Quantitative Research, Paradata, Metadata, Administrative Data, Data Management, FAIR Data, Open Data, ESS, GBV, PIAAC