⚠️ The call for abstracts will open towards the end of 2025.

Scope

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.