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)