Abstract
The 4th International DDDAS 2022 Conference, convened on October 6–10, featured presentations on Dynamic Data Driven Applications Systems (DDDAS)-based approaches and capabilities, in a wide set of areas, with an overarching theme of “InfoSymbiotics/DDDAS for human, environmental and engineering sustainment”. The topics included aerospace mechanics and space systems, networked communications and autonomy, biomedical and environmental systems, and featured recent techniques in generative Artificial Intelligence, theoretical Machine Learning, and dynamic Digital Twins. Capturing the tenets of the DDDAS paradigm across these areas, solutions were presented to address challenges in systems-of-systems’ approaches providing analysis, assessments and enhanced capabilities in the presence of complex and big data. The conference comprised of the main track that featured 31 plenary presentations of peer reviewed papers, five keynotes, an invited talk, and a panel on wildfires monitoring. In conjunction with the main track of the DDDAS conference, a Workshop on Climate and Life, Earth, Planets (CLEPs) was conducted, which featured 20 presentations on environmental challenges and a panel on Seismic and Nuclear Explosion monitoring. In addition to the papers of the plenary presentations in the main track of the conference, the DDDAS2022 Proceedings feature an overview of the conference, a synopsis of the main-track papers, and summaries of the keynotes and the wildfires panels followed by corresponding contributed papers by the the speakers in these sessions. Additional information and archival materials, including the presentations’ slides and recordings, are available in the DDDAS website: www.1dddas.org.
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Blasch, E., Darema, F. (2024). Introduction to the DDDAS2022 Conference Infosymbiotics/Dynamic Data Driven Applications Systems. In: Blasch, E., Darema, F., Aved, A. (eds) Dynamic Data Driven Applications Systems. DDDAS 2022. Lecture Notes in Computer Science, vol 13984. Springer, Cham. https://doi.org/10.1007/978-3-031-52670-1_1
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