The group of Algorithms and Data Science performs theoretical and applied research in the areas of algorithms and data science. There is particular interest in 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.
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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, Social nNetwork Analysis, Theory and Applications of Machine Learning.
