data science

1. iD-Lab
New facility for interactive Data Research Annette Zijderveld
31 October 2014

2. New Facility
Goal: Develop, use and demonstrate our innovative interactive and collaborative data tools, models and software, in the Netherlands and Deltares wide. Develop our expertise and knowledge for correct and timely forecasting, warning and response in flood related disaster events. .
3 november 2014
iD-Lab
Deltares wide

3. Concept iD-Lab
3 november 2014
(1) Room (1st floor Toren Delft) Work space Demonstration area Discussions Workshops Disaster management (hot phase)
(2) Visualization equipment (high level) Large video wall Click Share system Demonstration screens Touch table Cameras Large White Board
(3) ICT backend
Workstations (not HDW)
Calculation capacity
Data storage
Link with external ICT environment (cloud,
super computing)

4. Design room
3 november 2014
•Control room and demonstration area can be separated
•Open, professional design
•Room left for additions

5. 3. IT back-end
•Dedicated infrastructure with enterprise class hardware
•High speed 10G redundant network starting with 10T storage & dual CPU compute nodes
•Starting with full virtualization
•faster deploy times
•efficient and flexible use of resources
•suitable for various IT innovations (ideas welcome)
•scale up on demand using cloud services
3 november 2014

6. Disaster Management
Demonstration
Training
Collaborative Data Research Researchesign
Multi functional room

7. 3 november 2014
•New concepts for modeling using Data Science technology
•Dealing with satellite data
•Data mining and machine learning
•Collaborative modeling
•Interactive modeling concepts
•Deltares Data strategy developed and applied: OpenEarth data management concept and Geomatics
•Serious gaming & Augmented reality
•Participatory approaches – touch table applications
Collaborative Data Research

8. Data value chain
Data science
Data products
Data acquisition Data management
Data dissemination

9. Work on client or server?
tailored data
> WCS > WFS > SOS > SOAP
> netCDF-CF- OPeNDAP > ISO SQL– PostGIS
> SVN > GIT > http > ftp
> KML > WMS > WFS
> CSW
graphics
of data
standard
data
raw data
catalogue of data
work done on server
work done on client
what where when who why how … data URLs
smart phone & tablet users
scientists
professionals

10. Global forecasting models and services
3 november 2014
Global models in development Building up FEWS environment Goal: Run 3 global models daily
•Flood model
•Tide/storm surge model
•Drought model
Supporting
•Global Flood Partnership,
•BuZa DRR missions
•WMO / Worldbank
•Research activities

11. Modelling storm surge impact
3 november 2014
Delft3D + Delft Dashboard

12. Pilot project example: Risk Analysis Tool
3 november 2014
An Operational FEWS-Risk Analysis Tool - provide flood impact forecasting as decision support for disaster risk reduction The tool will help to answer questions such as: “Where should I put my sandbags?” “Which areas should I evacuate first?”
It fit’s well into the purpose of the iD-LAB in terms of:
•focus on Disaster Risk Reduction services
•a strong demonstration of Deltares’ state of the art capabilities in forecasting, decision support, flood risk management and flood impact assessment Contact: Ferdinand Diermanse, Annemargreet de Leeuw and Dirk Eilander (RAW)
Consequences (economic, people at risk etc.)

13. Pilot project example: Interactive design sessions for
lakes (Menno Genseberger)
environmental
impact
landscape
design
social issue social basis

14. Training facility
•Disaster/crisis management exercises/simulations
•Use of serious games for training with different stakeholders
•Support the Dutch water boards in training
•Providing the tools for training for use by external stakeholders
•Training and Capacity building within the Global Flood Partnership
•Delft-FEWS courses
•Dedicated trainings for small groups
3 november 2014
Delft FEWS
Serious Gaming

15. Questions? id-lab@deltares.nl
3 november 2014
?
iD-Lab