About the Data Science Forum
The Data Science Forum offers scientists from all disciplines and faculties the opportunity to present and discuss their research, interests, and challenges related to data science in front of an interdisciplinary audience. All topics in the field of data science can be addressed including general aspects of big data and data-intensive research, the development of state-of-the-art data science methods such as artificial intelligence, the application of data science methods in various research areas as well as the investigation of legal, ethical, and social aspects.

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About the Speaker
Anna Förster obtained her MSc degree in computer science and aerospace engineering from the Free University of Berlin, Germany, in 2004 and her PhD degree in self-organising sensor networks from the University of Lugano, Switzerland, in 2009. She also worked as a junior business consultant for McKinsey&Company, Berlin, between 2004 and 2005. From 2010 to 2014, she was a researcher and lecturer at SUPSI (the University of Applied Sciences of Southern Switzerland). Since 2015, she leads the Sustainable Communication Networks group at the University of Bremen.

Her main research interests lie in self-organising and autonomous sensor, opportunistic and vehicular networks. She applies various artificial intelligence techniques, like machine learning and swarm intelligence, to various aspects of wireless communication protocols and applications. Furthermore, she is active in designing and developing simulation models and benchmarks for wireless networks. Her research group is especially focused to how to achieve better sustainability of communication networks on one side and how to boost everyday sustainability by innovative applications.