The 5th International DDDAS 2022 Conference, convened on November 6–8, 2024, featured presentations on Dynamic Data Driven Applications Systems (DDDAS)-based approaches in conjunction with artificial intelligence (AI) methods, for new capabilities in a wide set of areas and systems, in the context ofthe overarching theme ofenabling reliable AI. The scope of the conference covered foundational and applications’ methods in materials, aerospace mechanics and space systems, networked communications and autonomy, biomedical and environmental systems, and featured DDDAS-based, system-cognizant modeling combined with Machine Learning methods, and enabling new capabilities including reliable AI 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 a main track that featured 43 plenary presentations of peer reviewed papers, fourkeynotes, an invited talk, and a panel on S&T Advances through DDDAS, Reliable AI, and Digital Twins Approaches. In conjunction with the main track of the DDDAS conference, a session of three tutorials preceded the commencement of the main track. In addition to the papers of the plenary presentations in the main track of the conference, the DDDAS2024 Proceedings include this introduction, as an overview of the conference with synopsis of the main-track papers, followed by two subsequent parts: one presenting summaries of the keynotes, the panel discussions, and the tutorials; and the other listing the conference Agenda. Additional information and archival materials, including the presentations’ slides and recordings, are available in the DDDAS website: www.1dddas.org .