Liubov B. Tupikina Research Project

Imagine scientific discovery as a journey, throughout the city of ideas, blocks of knowledge packaged in the form of papers and books. The increasing amount of information is growing every day so it is challenging to browse the growing knowledge landscape.

In our work we are studying AI algorithms and developing mathematical foundations, which can help us to map how news ideas appear and travel through time and how knowledge grows. We looked at millions of articles in science, to see how the knowledge landscape evolves. People who produce this knowledge are moving throughout this landscape similarly to people traveling in our cities. This research has been common effort with our lab and resulted in several papers:

[1] C. Singh, L. Tupikina, M. Starnini, M. Santolini “Charting mobility patterns in the scientific knowledge landscape” Nat.Comms arxiv.org/abs/2302.13054 arxiv, EPJ (2024)

[2] C. Singh, E. Barme, R. Ward, L. Tupikina, M. Santolini “Quantifying the rise and fall of scientific fields”, Plos One 17(6): (2022)