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Network Models and Data Sciences In Finance and Economics

Financial markets, banks, currency exchanges and other institutions can be modeled and analyzed as network structures. In these networks nodes are any agents such as companies, shareholders, currencies, or countries, and edges (can be weighted, oriented, etc.) represent any type of relations between agents, for example, ownership, friendship, collaboration,
influence, dependence, and correlation.
We are going to discuss network and data sciences techniques to study the dynamics of financial markets and other problems in economics.

Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. He is also an affiliated faculty member of the computer and information science Department, the Hellenic Studies Center, and the biomedical engineering program. He is also the director of the Center for Applied Optimization. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.