2019 Keynote Speaker
Dr. Robert Atlas
Atlantic Oceanographic and Meteorological Laboratory
Modeling and Simulation for Reducing the Risks Associated with Extreme Weather
The reduction of losses related to hurricanes and other extreme weather phenomena involves many complex aspects ranging from purely theoretical, observational, computational and numerical, to operational and decisional. A correct warning can lead to proper evacuation and damage mitigation, and produce immense benefits. However, over-warning can lead to substantial unnecessary costs, a reduction of confidence in warnings, and a lack of appropriate response. In this chain of information, the role played by scientific research is crucial. The National Oceanic and Atmospheric Administration (NOAA), in combination with the National Aeronautics and Space Administration (NASA), other agencies, and universities is contributing to these efforts through observational and theoretical research to better understand the processes associated with extreme weather. This includes model and data assimilation development, Observing System Experiments (OSE), and Observing System Simulation Experiments (OSSE) designed to ascertain the value of existing observing systems and the potential of new observing systems to improve weather prediction and theoretical understanding. We describe innovative research for developing advanced next-generation global and regional models to improve weather prediction, and the application of OSSEs to optimize the observing system.
Titan of Simulation Speakers
Thomas Ford Professor
Information to come
Dr. Margaret Loper
Chief Scientist, Information & Communications Laboratory
Chief Technology Officer, Center for the Development and Application of Internet of Things Technologies
Associate Director, GT Institute for Information Security & Privacy
Georgia Tech Research Institute
Simulation Trust in the Internet of Things
The urban environment is becoming increasingly more connected and complex. In the coming decades, we will be surrounded by billions of sensors, devices and machines, the Internet of Things (IoT). As the world becomes more connected, we will become dependent on machines and simulations to make decisions on our behalf. When simulations use data from sensors, devices and machines (i.e., things) to make decisions, they need to learn how to trust that data as well as the things (and simulations) they are interacting with. As simulations become more commonplace in IoT and smart city applications, it is essential that decision makers are able to trust the simulations making decisions on their behalf. This talk is focused on simulation and model trust, including the fundamental principles concerning how trust is established, maintained and used in simulations and a theory behind their operations.