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Objective

The DataSustain Lab combines data science methods with domain-specific knowledge to develop innovative and sustainable solutions. Working in interdisciplinary teams, data from various sources is analysed, contextualised using modern technologies such as machine learning, and translated into scientifically sound, practice-relevant insights.

Key Research Areas

  • More efficient use of open data: applying innovative data science methods to optimise the analysis of available data and utilising open data to measure progress towards the SDGs at a local level.
  • Integration of complex data sources: Combining data with different temporal and spatial coverage to draw new, scientifically sound conclusions.
  • Preservation and processing of historical data: Identifying, preparing and utilising valuable data series from ephemeral data carriers using modern technologies to ensure long-term availability and analysis.
  • Citizen science: Involving the public in data collection to promote participatory research.

Room
Building 2 | Ground Floor | Room 02 00 110


Opening Hours
By appointment


Head of Laboratory
Professor Dr Ute Hansen
Professor Dr Tobias Siebenlist
 

Contact

Jennifer Gnyp, M.A.
jennifer.gnyp@rhine-waal-university-of-applied-sciences.de

Professor Dr Ute Hansen
ute.hansen@rhine-waal-university.de

Professor Dr Tobias Siebenlist
tobias.siebenlist@rhine-waal-university-of-applied-sciences.de