• Two new presentations availabe held at FOSS4G 2017. 'How to version my spatial database?' [link] and '3D City Models for everyone?' [link]
  • Our SSTD Demo Paper has been published here.
  • Our 3D data visualizer for the NYC taxi dataset is available here. This web application shows hot spots of taxi trips
  • Joint meeting between Beuth's Data Science projects and developers from MonetDB to elaborate on future research cooperations
  • You can check our paper 'Traffic Prediction using a Deep Learning Paradigm considering Data Quality and Geoprivacy' here. Stephan Pieper presented this work at the EDBT/ICDT 2017 Joint Conference
  • New article 'Crowdeffizienz: Mobilitätsforscher können von der Ameise lernen' about efficient mobility and traffic prediction in the DB Schenker blog citing the ExCELL project
  • Stephan Pieper will give a talk about Big Data and data quality at the Research Day 2017 at the Beuth University of Applied Sciences.
  • The MAGDa Team will join this years Long Night of Sciences. See how we perform interactive routing in Dresden at the Beuth University and the 3D Scanning at the HTW Berlin.
  • Our Demo Paper 'pgMemento - A Generic Transaction-based Audit Trail for Spatial Databases' got accepted at SSTD2017
  • Felix Kunde will give two talks at this years FOSS4G Conference in Boston
  • Our Paper with the title 'Bereinigung unvollständiger und fehlerhafter Messreihen für Verkehrsvorhersagen' was accected at the Research Day 2017 of the Beuth University of Applied Sciences
  • Petra Sauer presented the project ExCELL at Smart Data Dialog 2017 
  • Felix Kunde has released a new version of his database auditing tool pgMemento. A paper about the software has been submitted to 15th International Symposium on Spatial and Temporal Databases (SSTD2017)
  • New presentation of our talk at FOSSGIS 2017 (in german) [pdf] [video]
  • New presentation of our talk at GIS Ostrava 2017 [pdf]
  • New presentation of our talk at BIGQP 2017. [pdf]
  • The talk 'Mit Deep Learning raum-zeitliche Muster erkennen und voraussagen' by Felix Kunde got accepted at this years FOSSGIS conference (Passau).
  • Our paper 'Spatio-temporal traffic flow forecasting on a city-wide sensor network' got accepted at GIS Ostrava 2017.
  • Our paper 'Traffic Prediction using a Deep Learning Paradigm considering Data Quality and Geoprivacy' got accepted at 1st International Workshop on Big Geo Data Quality and Privacy (BIGQP 2017) - Co-located with EDBT/ICDT 2017 Joint Conference.


  • New Presentation: Felix Kunde, Alex Hartenstein: Predicting spatio-temporal traffic patterns with Deep Learning. WhereCamp @Beuth, 04/11/2016
  • Petra Sauer and Agathe Merceron visit the Indian-Kazakhstan center of excellence in ICT at the L.N.Gumilyov Eurasian National University in Astana
  • BITKOM publishes new report "Germany – Excellence in Big Data" with the Data Science Group at Beuth University of Applied Sciences
  • Beuth-Presse 2/2016 (page 16): Project FoerDaBa - Data management project with partners from the district administration Friedrichshain-Kreuzberg’s facility management and urban planning departments
  • Presentation at Research Day 2016 @Beuth: Stephan Pieper, Felix Kunde and Petra Sauer presented the project ExCELL
  • Long Night of Sciences with MAGDA-Participation: Stephan Pieper, Felix Kunde and Yohan Burneleau present responsive realtime routing, 11/6/2016, Beuth-HS, Haus Grashof 5:00 PM to 12:00 PM @Beuth
  • Felix Kunde organizes the next part of the "Perspectives" - lecture series with the title Geo Data Journalism",  7/6/2016  Haus Bauwesen, D 151. The Team from webkid.io will be present, which created exciting interactive geo visualizations for the Morgenpost newspaper: http://www.gocartography.de/?page_id=6969
  • Petra Sauer and Markus Krämer give a presentation at Pint-of-Science in Berlin, 05/2016: "Sword lily meets hydrant"
  • 05/2016: Kickoff of the project BIM-FM
  • Project ExCELL presents an innovative app for small enterprises and craftsman at the CEBIT conference in Hannover



  • project ExCELL accepted by the Federal Ministry of Economics and Technology