Computational Humanities
Using and developing computational approaches to cultural phenomena, bridging computational methods and humanistic inquiry to uncover new patterns in human expression and cultural transmission.
Short bio
Working at the intersection of linguistics, network data science, and digital cultural studies. Currently pursuing a PhD in Computational Humanities at DIPC, combining NLP and network data science to unlock new insights in human culture and communication.
Quick CV Access
PhD Candidate
Computational Humanities @ DIPC
Research Interests:
⢠NLP & Network Science
⢠Cultural Data Analytics
⢠Computational Stylometry
⢠Computational Humanities
Computational Humanities @ DIPC
Research Interests:
⢠NLP & Network Science
⢠Cultural Data Analytics
⢠Computational Stylometry
⢠Computational Humanities
Research Focus
Developing and using computational methods to understand human culture, language, and communication through interdisciplinary research.
Computational Stylometry
Using and developing algorithms for authorship attribution, text analysis, and literary pattern recognition using advanced machine learning and statistical techniques.
Network Data Science
Exploring complex network structures in cultural and linguistic contexts, revealing hidden patterns in social dynamics, cultural evolution, and information networks.
Publications
Peer Reviewer: Digital Scholarship in the Humanities (Oxford Academic)
WikiTextGraph: A Python Tool for Parsing Multilingual Wikipedia Text and Graph Extraction
Authors: Paschalis Agapitos, Juan Luis SuĂĄrez, Gustavo Ariel Schwartz
Open Source
Zenodo Archive
GitHub Repository
Wikipedia as a cultural lens: a quantitative approach for exploring cultural networks
Authors: Luis A Miccio, Paschalis Agapitos, Carlos Gamez-Perez, Francisco GonzĂĄlez, Juan Luis SuĂĄrez, Gustavo Ariel Schwartz
Nature - HSScomms
High Impact
6 Authors
A Stylometric Analysis of Seneca's disputed plays
Authors: Paschalis Agapitos, Andreas van Cranenburgh
Peer Reviewed
Reproducible
Classical Studies
Featured Projects
Showcasing innovative applications of computational methods in healthcare, education, and cultural analysis.
CNN for Pneumonia Detection
A sophisticated Convolutional Neural Network application designed to assist healthcare professionals in detecting pneumonia and COVID-19 type pneumonia from patient X-rays. Built using TensorFlow and advanced computer vision techniques.
Cultural Analytics Guide
A comprehensive, open-access textbook and educational resource teaching computational analysis of cultural phenomena. Developed following rigorous Open Science principles with full transparency, reproducibility, and collaborative methodology.
British Political Speeches Analysis
Advanced computational stylometric analysis of British political speeches, with particular focus on Winston Churchill's rhetorical patterns. Combines NLP techniques with historical political discourse analysis.
Technical Skills & Expertise
Comprehensive expertise across programming languages, machine learning, and computational research methodologies.
Python
4+ years experience
Machine Learning
3+ years experience
Natural Language Processing
4+ years experience
Network Data Science
3+ years experience
Data Science & Visualization
4+ years experience
Statistical Analysis
4+ years experience
Web Development
2+ years experience
C++ Programming
1+ year experience