BigGIS
Predicative and prescriptive geographic information systems based on high-dimensional geo-temporal data structures
In the project BigGIS, a new generation of GIS is developed and researched, which supports decisions in various scenarios, by means of new mechanisms and on the basis of large amounts of heterogeneous data, better and faster. The innovation lies in the comprehensive cooperation of time and space in the analysis, the consideration of significantly larger amounts of even unstructured and unreliable amounts of data and a continuous processing pipeline, which supports not only descriptive but also predictive and prescriptive as well as visual analyses. In the three application scenarios "Civil Protection", "Environment" and "Smart City and Health", prototypical problems are addressed and solutions are elaborated, empirically validated as well as further developed.
Project objectives
Research, evaluation and demonstration of a new generation of GIS
- Heterogeneous geo-temporal data
- Comprehensive consideration of time and space in the analysis
- Unstructured and unreliable amounts of data
- Continuous processing pipeline for predicative, prescriptive and visual analyses
Scenarios
- Smart city and health (urban heat islands, fine dust)
- Environmental management (noxious animals/plants)
- Civil protection (air/poison gas)
Project partners
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Links
Contact person
Dr. Tim Straub
Abteilungsleiter
Career
Tim Straub ist seit Januar 2019 Abteilungsleiter am FZI der Abteilung Information Management and Analytics (IMA) des Bereichs Information Process Engineering (IPE).
Zuvor war er Wissenschaftlicher Mitarbeiter am FZI in der Abteilung IMA von Prof. Weinhardt. Während seiner Zeit als Wissenschaftlicher Mitarbeiter am Karlsruher Service Research Institute (KSRI) in der Forschungsgruppe von Prof. Dr. Christof Weinhardt am IISM, arbeitete er an verschiedenen Forschungsprojekten zu den Themen Prognosebörsen und nachhaltiger Flächennutzung. Seine Doktorarbeit beschäftigte sich mit der Anreizgestaltung für das Crowdsourcing.
Tim Straub studierte Informationswirtschaft am KIT. Seine Schwerpunkte waren: Business & Service Engineering, Informationssysteme (inkl. Datenbanksystemen) und Recht des Geistigen Eigentums und der Wirtschaftsunternehmen.
Forschungsinteressen & -methoden:
- Partizipation
- Smart Health
- Collective Intelligence
- Crowdsourcing
- Prediction Markets
- Labor- & Online Experimente
ausgewählte Projekte:
- Quartrback
- Mittelstand 4.0
- aDEPT
- Konkurrent und Komplementär
Publications
Weitere Publikationen finden Sie unter:
http://im.iism.kit.edu/team_329.php
Contact
Phone: +49 721 9654-801
E-Mail: straub@fzi.de