Applications of Machine Learning and Data Science Methods in Social Sciences
A special issue of Computation (ISSN 2079-3197).
Deadline for manuscript submissions: 1 February 2026 | Viewed by 337
Special Issue Editors
Interests: Bayesian methods; structural equation modeling; network analysis; text analysis; machine learning methods; statistical computing
Interests: Bayesian statistics; longitudinal research; missing data analysis; health analytics; data science
Special Issue Information
Dear Colleagues,
We welcome you to submit your work to this Special Issue titled “Applications of Machine Learning and Data Science Methods in Social Sciences.”
The recent development of data science and machine learning methods has opened new frontiers in social science research. These methods allow researchers to collect new types of data, analyze complex relationship, model human behaviors, and uncover informative patterns in ways previously impossible. This Special Issue seeks to highlight innovative research and the practical applications of these techniques in areas such as anthropology, economics, education, political science, psychology, sociology, and beyond.
Topics of interest include but are not limited to the following:
- Quantitative social sciences;
- Bayesian methods and applications;
- Longitudinal and multilevel data analysis;
- Data mining methods;
- Big data analysis;
- Natural language processing (NLP) and applications;
- Classification methods;
- Network data analysis;
- Ethics on data science and machine learning;
- Case studies;
- Review articles.
Prof. Dr. Zhiyong Zhang
Dr. Xin (Cynthia) Tong
Prof. Dr. Jiashang Tang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- Bayesian methods
- longitudinal data analysis
- multilevel data analysis
- classification and regression tree
- data mining
- natural language processing (NLP)
- network data analysis
- text analysis
- processing data analysis
- health analytics
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