1. Pre-assessment questionnaire [WATERVERSE Project Pilots] : Eingabe #52

Eingabennummer: 52
Eingaben-ID: 544
UUID der Webformular-Eingabe: 28cafe25-afd8-48ee-959c-01c2dd20239a

Erstellt: Mi., 24.04.2024 - 14:21
Abgeschlossen: Mi., 24.04.2024 - 14:23
Geändert: Mi., 24.04.2024 - 14:23

Remote-IP-Adresse: 94.70.57.73
Erstellt von: Gast
Sprache: English

Ist Entwurf: Nein
Aktuelle Seite: Vollständig
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, Data management, 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 learn new things about emerging technologies related to my work.
19. What I hope to learn and take away from this pilot is: I am particularly interested in the implementation of WDME with external tools, e.g. the flood modelling tool

Funding Support Agencies

EU funding support flag
EU structural funds flag
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CY structural funds
CY Research and Innovation Foundation