This event was part of a week-long workshop on New Developments in Data Privacy, linked to the Isaac Newton Institute (INI) research programme on Data Linkage and Anonymisation. It highlighted new approaches to anonymisation and will bring together leading experts as well as data users and ‘data holders’ with the aim of disseminating state-of-the-art techniques and approaches from the INI research programme.
 

This Open for Business event brought together academic researchers with representatives from industry and Government to discuss network problems arising in these areas. The event was hosted by the TGM and held at the Isaac Newton Institute, as part of the Theoretical Foundations for Statistical Network Analysis Programme.

Cell motility, morphogenesis, and pattern formation are essential
features of cell dynamics. They involve biochemical processes and
biomechanical properties coupling multiscales
ranging from the intracellular level, cell surface dynamics,
cell-cell and cell-tissue interactions up to the scale of cell
population behaviour influencing organ formation and
functioning. Hence, there is a need to develop new predictive
mathematical models with the ability to handle large datasets of
biological events and process thereby providing a
powerful quantitative framework to understand these phenomena
across multiple scales.

The importance of microbial communities for health, industry and the
natural environment cannot be overstated. Despite this, there is an
enormous gap between the levels of our empirical knowledge of microbial
communities' composition and experimental and theoretical understanding
of their function, structure, and dynamics. This is why the development
and advancement of combined mathematical and experimental approaches for
the study of microbial communities has a huge potential for this field.