A virtual “Werkstatt” for digitization in the sciences- AgriSem
- AD_INFRA1
- Arbeitsgruppe offenes Design digitaler Verwaltungsarchitekturen
- Microverse
- BExIS++
- BExIS
- Facilitating Semantic Data Interoperability and Integration for Citizen Science Sensor Data
- GFBio
- iBid
- Leveraging Knowledge Graphs for iDiv and Biodiversity
- INAS
- Jena Data Center (JDC)
- NFDI4Biodiversity
- Semantic Annotations for Building a Reproducible and Interoperable Solution for End-to-End Machine Learning Pipelines
- Semantic Description and (semi-) Automatic Annotation of Citizen Science Data
- ThurAI
- Wissensmodellierung und semantische Vernetzung heterogener Daten und Anwendungen
SpeedUp
 Startdate: 2009-05-31 Finishdate: 2012-04-29 Status: completed Website: http://www.speedup.uni-jena.de/ |
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Description
For the security forces and rescue workers engaged in a major operation, no integrative information and communication tool is available up until now. Today such coordination is carried out by personal consultation at the site, via official radio channels or by means of paper-based documentation. In the case of scenarios such as mass casualty incidents, however, personal consultations or the procurement and dispatch of documents are virtually impossible to manage. Processes are inefficient and precious time is lost as a result: factors that, in the worst case, raise the number of victims. In this BMBF-funded project, this problem is tackled from two perspectives: SpeedUp Practice and SpeedUp Technology. SpeedUp Practice focuses on the development of interaction and communication models for the emergency forces and on methods for structuring and describing the situation. This can then serve as a basis for assessing the situation and options and their impacts. At the same time, the results serve as specifications and a benchmark for the future technical implementation, the SpeedUp Technology. SpeedUp Technology as IT solution will be designed to support rescue workers in all required actions through additional information, processed sensor data and flexible communication structures. This will enable faster and higher quality action in a disaster and make it possible to save more lives.