Attend a comprehensive workshop on digital twins featuring world-leading researchers addressing foundational aspects and key application areas. Explore efficient training methods for digital twins in air pollution modeling, learn about bridging data-driven and mechanistic modeling approaches, delve into computational cardiology, and examine digital twin output functions for time-evolving engineering applications. Gain valuable insights from experts Richard Wilkinson, Mauricio Alvarez, Steven Niederer, and David Wagg as they present cutting-edge research in this rapidly evolving field. Benefit from this satellite event of the Isaac Newton Institute's programme on mathematical and statistical foundations of future data-driven engineering, generously supported by The Alan Turing Institute.