Creativity is an essential human trait that is defined by the formation of novel and useful ideas and concepts. It has been identified as a key factor for progress and advancement in various areas of our daily lives. Current research on creativity has made great advances using cognitive and psychological approaches. However, progress in the field is still hampered by heterogeneous conceptualizations and operationalizations of creativity. Furthermore, the foundation of creativity on the level of neuronal networks that would offer a deeper understanding of creative processes remains elusive. We firmly believe that a deeper insight of the general neural processes underlying creative thought has potentially huge implications for the understanding of human and eventually also non-human brain as well as artificial neuronal networks.

This conference will bring together theorists, computational experts and data scientists of all ages to discuss digital twin development at different scales, ranging from molecules and cell compartments to tissues and neural systems. It will start a dialogue at the intersection of current life-science research topics and concepts for digital twins, and explore how existing multiscale models can be augmented for creating digital twins that are both accurate and efficient.