Understanding the evolution of research through data visualization and AI
Description
We investigate how scientific fields evolve over time by combining large-scale data analysis, natural language processing, and data visualization. Drawing on datasets of hundreds of thousands of publications — such as those in the field of design since 1960 — we use AI-driven methods to map thematic shifts, collaboration patterns, and emerging trends, revealing how knowledge develops and converges across disciplines.
Themes
A visualization tool to explore academic collaboration networks through data analysis and data visualization on the web.
Team
Andrea Vian, Annalisa Barla, Marco Monteverde
Collaboration with
Daniele Pretolesi AIT Austrian Institute of Technology, Marina Cuneo Consultant, Emilia Kunst
Team
Annalisa Barla, Andrea Vian
Collaboration with
Daniele Pretolesi (AIT, Vienna)