{"id":4365,"date":"2016-12-29T19:56:34","date_gmt":"2016-12-29T19:56:34","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/meetings2-2\/?page_id=4365"},"modified":"2021-08-04T14:59:43","modified_gmt":"2021-08-04T14:59:43","slug":"tracks","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/wsc2021\/tracks\/","title":{"rendered":"Tracks"},"content":{"rendered":"\n
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Advanced Tutorials<\/a>
Agent-Based Simulation<\/a>
Analysis Methodology<\/a>
Aviation Modeling and Analysis<\/a>
Big Data \u2192 see Data Science for Simulation<\/a>
Commercial Case Studies<\/a>
Complex, Intelligent, Adaptive and Autonomous Systems (CIAAS)<\/a>
Covid-19 and Epidemiological Simulations<\/a>
Data Science for Simulation<\/a>
Environment and Sustainability Applications<\/a>
Gaming and Participatory Methods<\/a><\/p> <\/div>\n<\/div>\n <\/div>\n

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Healthcare Applications<\/a>
Hybrid Simulation<\/a>
Introductory Tutorials<\/a>
Logistics, Supply Chain Management, Transportation<\/a>
Manufacturing Applications<\/a>
MASM<\/a>
Military and National Security Applications<\/a>
Modeling Methodology<\/a>
Model Uncertainty and Robust Simulation<\/a>
Poster Session<\/a><\/p> <\/div>\n<\/div>\n <\/div>\n

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Professional Development<\/a>
Project Management and Construction<\/a>
Scientific Applications<\/a>
Simulation Education<\/a>
Simulation and Philosophy<\/a>
Simulation for Global Challenges<\/a>
Simulation for Smart Cities<\/a>
Simulation in Industry 4.0<\/a>
Simulation Optimization<\/a>
Using Simulation to Innovate<\/a>
Vendor<\/a><\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Advanced Tutorials<\/h3>\n

Track Coordinators:<\/strong> Wai Kin “Victor” Chan (Tsinghua-Berkeley Shenzhen Institute), Wei Xie (Northwestern University)<\/p>\n

The Advanced Tutorial track is oriented toward experienced practitioners and researchers who want to hear about the most recent developments, presented in a directly applicable form. The track encourages tutorials that focus on topics of special interest, as well as the latest theory and methods and resulting modeling, simulation, and analysis tools. Also of interest are pertinent topics in related disciplines, such as social network, healthcare, epidemic disease, energy, emergency response, augmented and virtual reality, simulation of big-data, blockchain, and so on. These special-focus sessions give practitioners and researchers a survey of recent fundamental advances in the discipline of modeling and simulation.<\/span><\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Agent-Based Simulation<\/h3>\n

Track Coordinators:<\/strong> Stephan Onggo (University of Southampton), Chris J. Kuhlman (University of Virginia)<\/p>\n

The Agent-Based Simulation (ABS) track is interested in theoretical, methodological and applied research that involves synergistic interaction between simulation and agent technologies. It covers multi-agent systems, agent-based simulation and agent-directed simulation. Contributions to the ABS track can be advancements of agent-based simulation modeling and\/or analysis, studies of complex adaptive systems or self-organizing emergent phenomena using agent-based models, and applications of ABS to fields such as natural sciences, business and management, health and social care, engineering, environmental science, social sciences, humanities, arts, and intelligent transportation systems. Also, of interest are contributions that demonstrate the use of agents as support facilities to enable computer assistance in simulation-based problem solving (i.e., agent-supported simulation), or the use of agents for the generation of model behavior in a simulation study. Topics include, but are not limited to, the following:<\/span><\/p>\n

Theory and Methodologies:<\/span><\/p>\n