The 1^st International Workshop on Machine learning and Analytics for PSychology (MAPS) will be colocated with ICDM 2025 in Washington D.C., USA.

This workshop aims to foster interdisciplinary collaboration between the fields of data science and psychology, addressing the growing need for advanced computational methods in psychological research. The key objectives of the workshop include:

Highlighting innovative applications of machine learning, data mining, and statistical modeling in understanding human behavior and cognition
Promoting the integration of domain knowledge from psychology with advanced data science techniques to tackle complex research questions
Encouraging discussions on ethical considerations, reproducibility, and fairness in the analysis and interpretation of psychological data
Investigating the limitations for drawing conclusions from analyses of behavioral data to subjective experiences

Scope

The workshop will cover a broad range of topics at the intersection of data science and psychology, including but not limited to:

Predictive modeling of psychological traits and mental health outcomes using structured and unstructured data
Causal inference techniques for understanding relationships between psychological factors and behavioral patterns
The analysis of large-scale psychological and behavioral datasets, including surveys, social media data, and sensor-based monitoring
Challenges in data collection, preprocessing, and representation specific to psychological studies
Methodological innovations in the application of data mining and machine learning techniques to address psychological theory and practice
Ethical considerations in the use of sensitive human data, including issues of privacy, bias, and consent
Description of the gap between objective behavioral data and subjectively experienced mind processes

Submissions will undergo a single-blind review process; author identities are known to reviewers. Each paper will be reviewed by at least three independent reviewers, while a senior PC member will monitor the reviewing process.

All accepted paper contributions will be published in the ICDM Workshop Proceedings.

Formatting instructions

Paper submissions should be limited to a maximum of ten (10) pages in the IEEE 2-column format, including the bibliography and any appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee based on technical quality, relevance to the scope of the conference, originality, significance, and clarity. The following sections provide further information for authors.

Authors are invited to submit original papers that have not been published elsewhere and are not currently under consideration for another journal, conference, or workshop; neither will they submit their papers elsewhere during the review period of MAPS 2025. The authors, their contact information, or affiliations may not be changed after the paper submission deadline. If the paper is accepted, at least one of the authors must register for the Workshop and present the paper in person in Washington D.C.

Submission

Papers must be submitted electronically in PDF format. The submission interface will be available soon.

Paper submission deadline: August 29, 2025
Notification of acceptance: September 15, 2025
Camera-ready: September 25, 2025

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.