Big Data in Public Administrations


Coastal Urban Development through the Lenses of Resiliency

How can Big Data improve the resiliency of cities and regions on their waterfront areas? Do large amounts of data allow for better urban planning in the face of social, ecological and economic challenges of the future and how can Big Data technologies be integrated into local political and administrative processes?

Together with partners from industry, research and public administration we develop solutions for these questions within the scope of this project. 

The project targets the cities of Antwerp, Antalya, Thessaloniki and Cork County. There, large amounts of sensory, statistical and user-generated data are collected, analyzed and utilised with the help of predictive analytics and data-driven scenario modelling.

EUROSOC#DIGITAL's task is to create business process models (BPM) of the political and administrative processes in the four target areas and to develop a business process model for the integration of Big Data applications into local political and administrative processes beyond the project. Furthermore, EUROSOC#DIGITAL combines scenario planning methods and public participation processes with the project's big data Technologies.

For further Information please visit:

For questions concerning the project please contact:

Dr. Laszlo Kovats,, +49 (0) 30 - 2023-9615-0
Holger Haberstock,, +49 (0) 30 - 2023-9615-0

Target groups

Municipalities and their public administrations


Applying Big Data technologies in political and administrative processes


January 2018 - December 2020

Target Areas

City of Antwerp (BEL),City Antalya (TUR), City of Thessaloniki (GRC), Cork County (IRL)


CERTH, DRAXIS Environmental, University of Koblenz Landau, SAMPAS, University of Leuven, University of Oulu, University of Thrace, Dell EMC, Interuniversitair Micro-Electronica Centrum, Byrne Looby PHMcCarthy, Municipality of Thessaloniki, Municipality of Antalya, Municipality of Antwerp, Cork County Council




European Commission/H2020

back to the previous page