Advances in Machine Learning and Mathematical Modelling for Data-Driven Discovery

Dear Colleagues,

The rapid expansion of machine learning and data science continues to transform research and practice across multiple scientific domains. This Special Issue, “Advances in Machine Learning and Mathematical Modelling for Data-Driven Discovery”, invites contributions that explore innovative methods, models, and applications that bridge mathematical foundations with real-world data challenges.

We welcome studies addressing predictive and generative modelling, representation learning, and explainable approaches that enhance the reliability, interpretability, and scalability of data-driven systems. Particular emphasis is placed on mathematical and statistical frameworks that strengthen model generalization, support uncertainty quantification, and enable the integration of domain knowledge into learning processes.

Applications in health, biology, social sciences, and engineering are especially encouraged, as they illustrate how mathematical modelling and machine learning jointly contribute to solving complex problems in diagnosis, forecasting, decision support, and scientific discovery. We also welcome contributions on visual analytics and interpretable visualization, which remain central to transforming data into insight and supporting evidence-based reasoning.

The aim of this Special Issue is to highlight recent advances that connect methodological innovation with impactful applications, reinforcing the role of machine learning and mathematical modelling in driving the next generation of data-driven discovery.

Dr. Alvaro Figueira
Dr. Rita Gaio
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 250 words) can be sent to the Editorial Office for assessment.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.