The Applied Probability Society (APS) is a subdivision of the Institute for Operations Research and the Management Sciences (INFORMS). We are dedicated to advancing the application of probability theory, in a broad sense, to understand and improve operations in complex systems affected by uncertainty and randomness. Our methods are applied across a wide range of domains, including manufacturing, communication and computer networks, service platforms and market design, revenue management, healthcare systems, finance and insurance, energy, logistics and transportation, and social networks, as well as emerging data science applications and their interactions with system operations and decision-making. We foster the development of rigorous analytical, algorithmic, and statistical methodologies in our toolkits. These range from stochastic optimization and control (such as Markov decision processes, stochastic approximation, and reinforcement learning), stochastic modeling (such as queueing theory, random graphs, and diffusion processes), rare-event analysis and large deviations, and Monte Carlo methods, to online learning and optimization, statistical learning theory, model risk, distributional robustness, causal inference, and other cutting-edge techniques that drive innovations in decision-making under uncertainty. APS brings together a diverse community of practitioners, educators, and researchers from fields such as business, engineering, statistics, mathematics, economics, and computer science. Members of our community have been recognized with prestigious honors, highlighting the profound impact of our society and the role of applied probability in advancing theory and practice.
The Applied Probability Society also publishes Stochastic Systems. This open-access journal seeks to publish high-quality papers that substantively contribute to the modeling, analysis, and control of stochastic systems. The contribution may lie in the formulation of new mathematical models, in the development of new mathematical methods, or in the innovative application of existing methods. A partial list of applications domains that are germane to this journal include: service operations; logistics, transportation, and communications networks (including the Internet); computer systems; finance and risk management; manufacturing operations and supply chains; and revenue management.
To keep up-to-date with all the latest developments in the Applied Probability Society community, INFORMS members should make sure to subscribe for real-time or digest correspondence through INFORMS Connect. For INFORMS members outside of the Society or for community members outside of INFORMS who would like to receive updates as well, register here to receive select Applied Probability Society communication directly.