  This contribution argues that the notion of time used in the scientific
modeling of reality deprives time of its real nature. Difficulties from logic
paradoxes to mathematical incompleteness and numerical uncertainty ensue. How
can the emergence of novelty in the Universe be explained? How can the
creativity of the evolutionary process leading to ever more complex forms of
life be captured in our models of reality? These questions are deeply related
to our understanding of time. We argue here for a computational framework of
modeling that seems to us the only currently known type of modeling available
in Science able to capture aspects of the nature of time required to better
model and understand real phenomena.
