Socioeconomic Analytics

About the Journal

Socioeconomic Analytics (ISSN: 2965-4661) is a peer-reviewed, open-access journal that publishes original research articles, reviews, short communications, and case studies on the analysis of social and economic data. The journal aims to provide a platform for researchers, practitioners, and policymakers to share their latest findings, insights, and perspectives on data analysis, operations research, econometric and computer-driven methods and tools to manipulate (big) data to discuss social and economic challenges. The journal accepts submissions in English, Portuguese, and Spanish. After peer review, the manuscript is sent for translation and published in English. There is no cost for authors. The journal does not charge APC or any submission, evaluation, or publication fees. 

We welcome submissions of original research articles, review papers, systematic and bibliometric literature reviews, meta-analyses, essays, short communications, reproductions and replications of analyses and applied experiments (independent evidence for or against the conclusions of a published paper), case studies and practical software exercises (containing step-by-step procedures, frameworks, codes and algorithms to generate the results) that align with the mission and scope of Socioeconomic Analytics. The scope of the journal includes but is not limited to the following areas:

• Social and economic data collection, mining, and management or strategic aspects of public choices;
• Data analysis methods and techniques in social, economic and public policies research;
• Statistical inference and Econometric applications;
• New developments in Operations Research;
• Machine Learning and Artificial Intelligence;
• Decision Support Systems and Geographic Information Systems;
• Bibliometric Mapping of Socioeconomic Literature (including reviews of indicators, methods, and relations between variables);
• Methods and technics for social and economic data visualization;
• Big data analytics in social and economic research;
• Predictive modeling and forecasting in social and economic research;
• Impact and Intervention analysis;
• Data Envelopment Analysis, Organizational Efficiency and Productivity;
• Policy evaluation and impact assessment;
• Statistical methods and techniques for social and economic data analysis.

Socioeconomic Analytics encourages an interdisciplinary dialogue within the scholarly community from a local perspective extended to the international horizon. We seek to publish original research that contributes to the development of evidence-based policies and practices with the potential to make a significant impact on applied quantitative methods and assessments. The journal is committed to upholding the highest academic integrity and ethical standards in disseminating cutting-edge research, adopting a rigorous and transparent single-blind peer-review process, and providing timely and constructive feedback to authors.

Socioeconomic Analytics is managed by the Research Group on Efficiency and Data Analysis (GEDAI) and the Graduate Programs in Statistics and Production Engineering (CAA) at the Federal University of Pernambuco (Brazil).