Computational Social Sciences
Quantifying social dynamics and cultural heritage through Exascale-ready AI and graph analytics.
Image: Carol M. Highsmith, Library of Congress
The Technical Measurement of Society
Humanities and Social Sciences meet High-Performance Computing. From decoding centuries of historical archives to simulating megacity traffic flows, Malgukke provides the architectures for semantic data unlocking and multi-agent modeling.
Humanities Data Pipeline
| Research Focus | HPC / AI Method | Scientific Outcome |
|---|---|---|
| Historical Linguistics | BERT-based training on archaic text corpora. | Reconstruction of lost language stages |
| Art History | Deep Convolutional Neural Networks (CNNs). | Uncovering global artistic influences |
Global Pillars of Computational Social Science
Voices from the Field
Researchers applying HPC and AI to society, cities, and cultural heritage share their insights in recent interviews:
Sampo Pyysalo
TurkuNLP, University of Turku
On why language technology is essential to the survival of small languages, and how supercomputing brought a Finnish-scale GPT-3 model within reach.
Read articleJosé María Cela
Head, Computer Applications in Science and Engineering, Barcelona Supercomputing Center
On how MareNostrum lets researchers simulate reality itself — mimicking real-life urban and industrial conditions in hours instead of years.
Read article