The focus of the Algorithms and Data Science group is on theoretical and applied research in the areas of algorithms and data science. The main focus in on the design of algorithmic techniques for the analysis of very large volumes of data and for the economics of the internet, as well as in the algorithmic modeling of complex systems.
The group is particularly active in the following areas:
- Algorithmic Fairness
- Algorithmic Game Theory and Mechanisms Design
- Approximation and Online Algorithms
- Distributed and Streaming Computation
- Internet Economics
- Large-Scale Data Mining
- Online Learning
- Social Network Analysis
- Submodular Optimization
- Theory and Applications of Machine Learning.