Call for Papers: Digital Avionics Systems Conference

The 28 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> Digital Avionics Systems Conference (DASC) whose theme: Modernization of Avionics and Air Traffic Management (ATM) — Perspectives from the Air and Ground, focused on the need to upgrade all avionics-related systems. DASC is recognized as one of the leading international conferences in the field of digital avionics technologies, applications, capabilities, and systems. As commercial and military avionics age they must be updated, and the related ground equipment modernized as well. The latest DASC was held at the Florida Hotel and Conference Center in Orlando, Florida, October 25–29, 2009. This long-running conference (more than 25 years) is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE) Aerospace and Electronics Systems Society (AESS) and the American Institute of Aeronautics and Astronautics (AIAA) Digital Avionics Technical Committee (DATC). It draws technical experts from across the globe and includes five days of professional education courses and presentations, plus exhibits and special events. Guests accompanying attendees have an opportunity to participate in special related activities during the conference.

Fast-Time Demand-Capacity Balancing Optimizer for Collaborative Air Traffic Flow Management

Digital avionics systems conference - Conference report

It is my distinguished honor to serve as president for such an active and relevant IEEE Society. Aerospace and Electronic Systems covers an amazing array of topics that affect every aspect of our lives. Our mission is to provide a professional ‘home’ that attracts, engages, aids, and retains a diverse set of members of every age, culture, and community incorporating both theoretical and practical interests throughout industry, academia, and government. We are very fortunate to have highly motivated and internationally distinguished members, Officers, Board of Governors, directors, and liaisons to help us accomplish this mission. We are focused on continuously improving our contributions to humanity through technology. Our member services incorporate continuing education (via mentoring, online tutorials, and a distinguished lecturer program), written publications (the Transactions, Magazine, and Tutorials), a variety of conferences and a strong commitment to strengthen our relationship with industry where many of our members reside. A selection of conferences we sponsor and co-sponsor include IEEE Aerospace Conference, IEEE Radar Conference, European Navigation Conference, Digital Avionics Systems Conference, and the International Carnahan Conference on Security Technology. We also recognize outstanding contributors in our fields of technology through a variety of awards including but not limited to the M. Barry Carlton Award, Pioneer Award, Judith Resnik Award, Robert Hill Best Dissertation Award, and the Outstanding Organizational Leadership Award. The AESS continually strives to grow, expand, and share capabilities among not only our own community but with others as well. We are closely tied with other IEEE organizational units such as the Nanotechnology Council, Sensors Council, Systems Council, IEEE-USA as well as non-IEEE Technical Societies including the American Institute of Aeronautics and Astronautics (AIAA). It is truly an exciting time to be a part of such an active and growing organization that is essential to the worldwide technical community. In addition to enjoying our monthly issues of Systems Magazine, the bi-monthly Transactions on Aerospace and Electronic Systems (T-AES), and our quarterly e-mail blasts (newsletters), I urge you to browse our website (www.ieee-aess.org) to learn even more about what we do and how you can take advantage and be a part of it. Welcome!

2004 Pioneer Award at the Digital Avionics Systems Conference

Welcome to the 39th (Virtual) Digital Avionics Systems Conference

The rapid advancement of artificial intelligence (AI) and emergent technologies has revolutionized how tasks are performed across various domains (Dwivedi et al., 2021), in turn requiring a shift in the traditional competency model. These models now require more frequent updates to reflect the dynamic nature of technological evolution. In some contexts, AI surpasses human capabilities entirely (Zhang et al., 2020), consequently reshaping the landscape of required skills and knowledges for the tasks within the job, and requiring a deeper focus on improved decision-making. This transformation introduces a dual challenge: identifying and emphasizing new competencies to support decision-making while simultaneously reassessing tasks that are either obsolete or augmented by AI systems. For example, in areas like aviation, emergent aircraft designs have created a shift in which tasks that were previously reliant on humans (Vempati et al., 2021) such as controlling 8-rotors on an electric vertical takeoff and landing (eVTOL) aircraft, are now feasible only through AI systems. These agents often achieve optimal performance levels unattainable by humans, rendering traditional training for these tasks unnecessary. Conversely, in fields where AI complements rather than replaces human capabilities, such as cyber and intelligence, new responsibilities and knowledge requirements are being appended to existing roles. These additional knowledge, skills, and/or task requirements can lead to increased cognitive and operational workloads for trainees (Strauch, 2017). This dichotomy highlights the importance of distinguishing between the roles where training could be minimized due to automation and those where training must be expanded to accommodate the new tasks due to these technologies. Competency models in this digital age need to adapt to consider tasks based on their relevance and the level of AI integration. Models should be updated to include more decision making and highlight collaboration with AI systems to address the balance between task automation and human involvement. These changes can help to ensure that training programs remain efficient and relevant. The current work explores these challenges and offers a framework for designing competency models that reflect the evolving technological landscape. Further we propose strategies for identifying and incorporating updated competencies, emphasize the need for continuous model refinement, and outline methods to balance training requirements with operational demands. Key considerations include integrating AI-awareness into competency frameworks, reducing redundant training efforts, and fostering skills that enhance human-AI collaboration.By addressing these evolving needs, competency models can better prepare individuals for the demands of the digital age while promoting efficiency and adaptability in training programs. The paper aims to provide actionable insights and key considerations for organizations and educators tasked with developing competency frameworks. Ultimately, this work seeks to bridge the gap between technological capabilities and human potential, empowering individuals to thrive in increasingly AI-driven environments.ReferencesDwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... &amp;#38; Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994.Strauch, B. (2017). Ironies of automation: Still unresolved after all these years. IEEE Transactions on Human-Machine Systems, 48(5), 419-433.Vempati, L., Geffard, M., &amp;#38; Anderegg, A. (2021, October). Assessing human-automation role challenges for urban air mobility (UAM) operations. In 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC) (pp. 1-6). IEEE.Zhang, X. Y., Liu, C. L., &amp;#38; Suen, C. Y. (2020). Towards robust pattern recognition: A review. Proceedings of the IEEE, 108(6), 894-922.

2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)

2010 29^th Digital Avionics Systems Conference (DASC)

2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC)

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)

Network Centric Environments Digital Avionics Systems Conference (DASC) Turns 25 [Conference Report

2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC)

2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC)