Session

DescriptionWe are increasingly engaged in transdisciplinary research to address the complex challenges facing our world. These challenges include transitioning to renewable energy systems, advancing personalized medicine, utilizing digital twins, and accurately predicting climate change and its impacts on local and regional ecosystems. As we look toward a future shaped by computing, data, and AI, we aim to leverage various digital services & methodologies. In this context, application and workflow-focused approaches can play a crucial role in advancing scientific frontiers by harnessing the potential of integration. This approach could also serve as a long-term strategy for upholding the principles of sustainability, openness, and transparency, particularly within federated ecosystems. Thus, engaging in discussions about next-generation application workflows is just as crucial for advancing research as conversations concerning the development of digital infrastructure. This minisymposium will convene experts from various domains, each focusing on different aspects of the scientific research lifecycle. Speakers will critically examine the role of AI, explore performance and productivity beyond Moore's Law, and discuss how generative strategies can empower physics-based simulations. Representing early-career researchers, Dr. Filippo Gatti from France will discuss generative strategies for physics-based simulations.