Research

Theoretical and empirical advances in data science over the last decade have been informed by state-of-the-art developments in multiple disciplines, including electrical engineering, mathematics, statistics, and computer science. At the same time, it is becoming increasingly clear that the study of dynamical systems is at the heart of fundamental challenges arising in data science.

iiDS² research is advancing research in this area through four themes:

• Data modeling and dynamical systems
• Sampling, inference, and dynamical systems
• Algorithm design and dynamical systems
• Decision-making and dynamical systems