1. Pre-assessment questionnaire [WATERVERSE Project Pilots] : Inzending #45

Inzendingsnummer: 45
ID inzending: 530
Inzending UUID: 75382ad6-e332-468c-b0e9-1a6792cf0eb7

Aangemaakt: wo, 04/24/2024 - 14:11
Voltooid: wo, 04/24/2024 - 14:14
Gewijzigd: wo, 04/24/2024 - 14:14

Extern IP-adres: 94.70.57.73
Ingediend door: Anoniem
Taal: English

Concept: Nee
Huidige pagina: Voltooid
I have read the above statements and I hereby provided my explicit consent. Ja
[Optional] I agree that my personal data can be used for contacting me in the context of inviting me in future events of interest, related to the WATERVERSE. Ja
Full name: Lydia Vamvakeridou-Lyroudia
Date of consent: 2024-04-24
Pilot site/country Germany
Affiliated Organisation KWR Water Research, Netherlands
Type of affiliated organisation: Research Centre
Email [optional]: lydia.vamvakeridou-lyroudia@kwrwater.nl
Telephone [optional]: 0651352246
6. Education level: Post-Graduate (Master / PhD)
7. During my studies I have completed courses relevant to any of the below: Data analysis, Software development, IoT
8. I have professional experience in the subjects below: Data analysis, Data management, Software development, IoT, Machine learning
9. Years of professional experience in the water sector: > 12
10. I am currently working in a water organisation: No
11. I am fully aware of the terms “data management” and “data analysis”. 4
12. I am aware of WATERVERSE and the relevant tools. 4
13. I am aware of the data harmonization needs. 4
14. I am aware of the data anonymization needs. 4
15. I am aware of data cleaning needs. 4
16. I am familiar with digital twins. 4
17. I have used tools similar to the ones offered by WATERVERSE in water or in other domains/applications: Yes
18. I am interested in this pilot exercise because: I want to be an expert in water data spaces to support projects of my organisation.
19. What I hope to learn and take away from this pilot is: To see how WDME can be implemented for this pilot. Specifically I am interested in the implementation combined with other tools, e.g. the flood modelling tool

Funding Support Agencies

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