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The two-volume set CCIS 1712 and 1713 constitutes the proceedings of the 21st Asian Simulation Conference, AsiaSim 2022, which took place in Changsha, China, in January 2023. Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023.The 97 papers presented in the proceedings were carefully reviewed and selected from 218 submissions.The contributions were organized in topical sections as follows: Modeling theory and methodology; Continuous system/discrete event system/hybrid system/intelligent system modeling and simulation; Complex systems and open, complex and giant systems modeling and simulation; Integrated natural environment and virtual reality environment modeling and simulation; Networked Modeling and Simulation; Flight simulation, simulator, simulation support environment, simulation standard and simulation system construction; High performance computing, parallel computing, pervasive computing, embedded computing and simulation; CAD/CAE/CAM/CIMS/VP/VM/VR/SBA; Big data challenges and requirements for simulation and knowledge services of big data ecosystem; Artificial intelligence for simulation; Application of modeling/simulation in science/engineering/society/economy /management/energy/transportation/life/biology/medicine etc; Application of modeling/simulation in energy saving/emission reduction, public safety, disaster prevention/mitigation; Modeling/simulation applications in the military field; Modeling/simulation applications in education and training; Modeling/simulation applications in entertainment and sports.

Artificial Intelligence --- Computer Networks --- Computer Simulation --- Computers

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The two-volume set CCIS 1712 and 1713 constitutes the proceedings of the 21st Asian Simulation Conference, AsiaSim 2022, which took place in Changsha, China, in January 2023. Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023. The 97 papers presented in the proceedings were carefully reviewed and selected from 218 submissions. The contributions were organized in topical sections as follows: Modeling theory and methodology; Continuous system/discrete event system/hybrid system/intelligent system modeling and simulation; Complex systems and open, complex and giant systems modeling and simulation; Integrated natural environment and virtual reality environment modeling and simulation; Networked Modeling and Simulation; Flight simulation, simulator, simulation support environment, simulation standard and simulation system construction; High performance computing, parallel computing, pervasive computing, embedded computing and simulation; CAD/CAE/CAM/CIMS/VP/VM/VR/SBA; Big data challenges and requirements for simulation and knowledge services of big data ecosystem; Artificial intelligence for simulation; Application of modeling/simulation in science/engineering/society/economy /management/energy/transportation/life/biology/medicine etc; Application of modeling/simulation in energy saving/emission reduction, public safety, disaster prevention/mitigation; Modeling/simulation applications in the military field; Modeling/simulation applications in education and training; Modeling/simulation applications in entertainment and sports.

Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- informatica --- mineralen (chemie) --- mijnbouw --- wiskunde --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)

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Extreme weather events such as floods, heatwaves, wildfires and hurricanes pose a substantial risk to many societies and regularly lead to significant economic damages. The impacts of climate change are already widely observed in societal and natural systems all over the world. It is essential to understand (i) the meteorological drivers behind extreme events, and (ii) the link between extreme weather events and climate change. Databases on extreme events provide highly valuable information to study these effects. The state of the art is the ‘emergency events database’, which is a global natural hazards-related impacts database containing data of over 22,000 disasters from 1900 to present. However, these databases are incomplete and have biases in locations and time, which hampers many rigid analyses. Wikipedia is an open-source encyclopedia, which contains additional information on extreme events globally. In this thesis project ‘Wikimpacts’, we propose to construct a new database through mining data from Wikipedia using different natural language processing and machine learning techniques. This database will include extreme weather events such as storms, droughts, heatwaves, wildfires, and floods. For each event, a date-range, location and socio-economic impacts will be included when available. Ideally, this database will offer new insights on global climate impacts and provide a new data source for extreme events analysis.