Prof. Boleslaw K. Szymanski presented the plenary invited talk on "AI in Network Science: Challenges and Opportunities," at the Advances in Artificial Intelligence Symposium (PP-RAI) in Wroclaw, Poland on Oct. 17, 2019.

Prof. Boleslaw K. Szymanski presented the plenary invited talk on "AI in Network Science: Challenges and Opportunities," at the Advances in Artificial Intelligence Symposium (PP-RAI) in Wroclaw, Poland on Oct. 17, 2019. The talk discusses how Network Science, like many other disciplines of Science and Engineering, embraces advance in AI and attempts to apply them to their problems. The biggest opportunity for these attempts is AI ability to model and predict dynamic processes on graphs. Moreover, exciting developments in complex networks, such as evolutionary networks, multi-layer networks, and hierarchical networks are the source of further AI challenges, fueling collaboration between network scientists and AI researchers. The talk starts with a discussion of these developments and changing perspective on AI in the U.S. We then follow with the description how the RPI CS Network Science group uses AI to solve some interesting problems in Network Science. The first example focuses on community detection, the second on finding efficient spreaders of the information in complex network while the third is concerned with predicting dynamics of group evolution.