As climate change progresses, the use of the non-substitutable resource of drinking water is becoming increasingly important. Water supply companies are responsible for supplying the population with drinking water. The current challenges in the water industry call for innovative solutions in the collection, processing and persistence of data and information. The current shift towards a transparent information society plays a central role here time and again. Free access to information is regarded as a paradigm and political transparency endeavours (e.g. Environmental Information Act, PSI Directive) must be taken into account. This places new demands on data and information management in an inter-, intra- and extra-organisational context and requires new approaches to solutions.

The focus of the VLBA is on the practical research and application of data science methods (here is a link to data science) in the application domain of water management.

Research projects:

WISdoM

PhD projects:

Data-centred long-term water demand forecasts (Marius Wybrands)

Teaching:

INDICATE project group (summer semester 21 - winter semester 21/22)
WISdoM project group (summer semester 19 - winter semester 19/20)
Practical course in business informatics (winter semester 18/19)

Contact person:

• Marius Wybrands

Publications:

Marius Wybrands, Literaturanalyse von Anwendungsfällen, Technologien und Datenquellen im Kontext Wasserinfrastruktur in Smart Cities, 10th BUIS-Tage - Smart Cities / Regions - Technische, wirtschaftliche und gesellschaftliche Innovationen, 2019.

Dmitriyev, V., Marx Gómez, J.: Big Data Inspired Water Management Platform for Sensor Data. In: Douglas Cunningham, Petra Hofstedt, Klaus Meer, Ingo Schmitt (Eds.), Proceedings INFORMATIK 2015 Lecture Notes in Informatics (LNI), Gesellschaft für Computing Science, Bonn 2015, (Germany).

Student work:

Bachelor thesis (ongoing): Bachelor thesis: Development of a RESTful API for reading data sets in a machine-readable format using the example of the Open Data Portal of the German Weather Service.

Master's thesis (ongoing): Conception and development of a process model for the realisation of long-term water demand forecasts.

Master's thesis (ongoing): Potential analysis of LoRaWAN in water management using the example of groundwater measuring points.

Master's thesis (2019): Discovery and classification of data sources in water management.

Bachelor thesis (2019): Design of a database as a basis for water demand forecasts.

Bachelor thesis (2018): Water storage recommendation system based on the amount of rainwater recovery from roof surfaces.

Bachelor thesis (2018): Smart contracts to solve the load balancing problem in water management.

Bachelor thesis (2018): IT-supported questionnaires using Gamification in the context of the water footprint.

Master thesis (2012): Model for IT-supported calculation of the water footprint.