The CMS conference is an annual meeting associated with the Journal of Computational Management Science published by Springer. The aim of this conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods in management science.
The focus is on theoretical and empirical studies of computational methods, models and empirical analyses related to computational economics, finance and statistics, energy, scheduling, supply chains to name the most popular in the last conference editions. Applied research on the design, analysis and applications of optimization algorithms, deterministic, dynamic, stochastic, robust and combinatorial optimization models including solution algorithms, learning and forecasting methods, models and tools of knowledge acquisition, such as data mining, and all other topics in management science with the emphasis on computational paradigms, find a natural venue in CMS conference streams.
The CMS2017 conference will devote a special emphasis on computational aspects related to large-scale-optimization and statistical learning applied to risk management and control problems in any management domain.
CMS2017 is jointly organized by the University of Bergamo, the Georgia Institute of Technology (GeorgiaTech) and the CMS Journal. The Euro Working Group on Stochastic Programming supports the initiative through a Student Best Paper Prize to be awarded to a young researcher according to the rules you find here.