Fabio Scielzo-Ortiz

Fabio Scielzo-Ortiz

I am a researcher at the UC3M-Santander Big Data Institute. I obtained my Bachelor's degree in Statistics and Business from Universidad Carlos III de Madrid (UC3M) in 2023 and a Master's degree in Big Data from the UC3M in 2024. I am a PhD student in Statistics for Data Science at UC3M. At IBiDat, I work on Data Science and Applied Research in both business and academic projects.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Quantifying Global Polarization: Detection and Analysis of Opinion Groups on the Gaza Conflict at International Level Based on Reddit Data

Published in Submitted for publication at Journal of Computational Social Sciences (Springer), 2027

A robust computational framework, combining LLM-based feature extraction with robust mixed-data clustering, to detect and analyze international opinion groups on the Gaza conflict from Reddit data.

Recommended citation: Scielzo-Ortiz, F., Grané, A., & Díaz-Gorfinkiel, M. (2026). "Quantifying global polarization: Detection and analysis of opinion groups on the Gaza conflict at international level based on Reddit data." (Submitted for publication).

Evaluating the Educational Impact of an LLM Virtual Assistant in Video-Based Learning

Published in Submitted to Journal of Computer Assisted Learning (JCAL), 2026

A controlled trial with secondary and vocational students examining whether an LLM-based pedagogical agent layered on instructional video improves learning gains, self-efficacy and cognitive load.

Recommended citation: Scielzo-Ortiz, F., et al. (2026). "Evaluating the educational impact of an LLM virtual assistant in video-based learning." (Submitted to Journal of Computer Assisted Learning).

New Distance-Based Robust Clustering Algorithms for Large Mixed-Type Data

Published in Advances in Data Analysis and Classification, 2026

New distance-based robust clustering algorithms designed to scale to large volumes of mixed-type multivariate data.

Recommended citation: Grané, A., & Scielzo-Ortiz, F. (2026). "New distance-based robust clustering algorithms for large mixed-type data." Advances in Data Analysis and Classification. https://doi.org/10.1007/s11634-026-00701-9
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On generalized Gower distance for mixed-type data: extensive simulation study and new software tools

Published in SORT - Statistics and Operations Research Transactions, 2025

Robust distances for mixed-type data, namely robust generalized Gower and robust related metric scaling, together with a new Python package implementing them.

Recommended citation: Grané, A., & Scielzo-Ortiz, F. (2025). "Robust distances for mixed-type data: Robust generalized Gower and robust related metric scaling." SORT - Statistics and Operations Research Transactions. https://doi.org/10.57645/20.8080.02.28
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