Currently, there is little dialogue between researchers from different fields in life sciences (biophysics, biochemistry, genetics, zoology, molecular and system biology and other) investigating living systems at different levels, and engineers and computer scientists building artificial systems that (according to them) are inspired from or mimic the biological ones. The models of the underlying systems are often different and specific, addressing a particular view or set of problems. But living systems are skilled at demonstrating emergent properties of the whole which are more than the parts, such as cognition and consciousness, and we cannot understand with just a single view or model. We need integral superposed models of such systems which can only come into being if multiple models at different scales are reconciled and adjusted to generate a more adequate picture. The proposed project brings together researchers in these different areas, forcing them to relate and adjust their work to the researchers in other areas.
he MolBio2Math institute envisiones to discover and establish new relationships and deliver new insights into the interaction and interdependence between natural and artificial (human-created) phenomena for a number of scientific fields. It is expected to invent and develop new substances and therapies for healing diseases, as well as innovative mathematical formalisms to provide a generalized epistemological framework and ecology for symbiotic research in life, physical, social and engineering sciences.
The driving principles of the MolBio2Math institute are:
- enforcing holistic multidisciplinary approaches to investigation;
- focusing on scientific research in molecular biology, mathematics and computation targeting a synergetic integration and exchange with natural and life science disciplines;
- identifying research areas which are crucial for accelerated, yet balanced, transformation of the future information society.
It pursues three primary objectives:
- to devise a set of challenges for future research at proactive initiative level,
- to release periodic progress reports in the field (books, special journal issues, etc.)
- to initiate and support new projects