The scope of the StochMod meeting includes both theoretical advances in stochastic modeling techniques and relevant applications. Contributions may focus on the formulation of new stochastic models, the development of new analytical methods, or innovative applications of existing models and methods.

Theoretical and methodological research topics include, but are not limited to:

Data-driven stochastic modeling & optimization

Reinforcement learning and approximate dynamic programming

Stochastic processes

Queueing theory

Stochastic programming

Simulation optimization and simheuristics

Markov decision processes

Bayesian statistics

Approximation, heuristic, and asymptotic methods

Robust and multicriteria decision making

Game theory and behavior theory

AI and its applications in stochastic modeling and decision-making

Relevant applications include, but are not limited to:

Service operations, such as healthcare systems and contact centers

Business innovations, such as the sharing economy and online marketplaces

Social networks and communication systems

Biometrics, epidemiology, and medical decision-making

Supply chains and manufacturing/production systems

Logistics and transportation

Revenue management and pricing

Routing, scheduling, and resource allocation

Economics, financial markets, and risk management

Energy systems

Business and marketing analytics

Humanitarian and non-profit projects

We also welcome contributions at the intersection of stochastic modeling and other areas covered by EURO Working Groups, including Network Optimization, Stochastic Optimization, Pricing and Revenue Management, Commodities, and Financial Modelling, Data Science meets Optimization, and Project Management and Scheduling.