Digital Transformation for Governance (Dig2Gov) is a project which aims to develop new mechanisms to model the information that is needed in various applications of smart governance together with 3D digital geographic data. It will enable real-time interaction among people, the built environment, and decision-makers, in order to avoid the time-consuming process of linking and (re)organizing data for simulations and calculations in a decision-making process.

The Dig2Gov project involves PhD positions related to innovative digital twins for improved landslide predictions, and related to developing new mechanisms of modelling domain knowledge into 3D city models.

Contact: Hongchao Fan

Next-Generation Coastal Modeling for Wave, Current and Sediment Transport Impact on Coastal Infrastructure. 

DIGICOAST is a strong move towards interdisciplinary digitalization. The project will address one of Europe’s greatest challenges of the future: climate change impact on coastal areas.

Recent studies indicate a sea level rise (SLR) of minimum 30 cm until the end of the 21st century. Under these conditions, the combined effect of SLR, storm surges and extreme waves will lead to tremendous infrastructure damage at the European coasts.

The primary objective of DIGICOAST is to build a coastal numerical model in order to represent waves, current and sediment transport and their effect on coastal infrastructure and buildings in the vicinity of coastal urban areas.

Contact: Hans Bihs

Data Analytics for Ground Motion Monitoring (DARIO).

The project aims to develop robust techniques to extract maximum usable information from these time series. More specifically, the project will develop methods to understand movement patterns affecting both infrastructure and landscape elements, separating benign trends from potentially destructive deformation, and techniques to identify changes in these trends that may indicate impending failure.
 
Contact: Pierluigi Salvo Rossi