1. Pre-assessment questionnaire [WATERVERSE Project Pilots] : Submission #58

Número del envío: 58
ID del envío: 583
Submission UUID: 0a4a52b7-a0cd-46aa-aef1-284df95fe22c

Creado: Mié, 24/04/2024 - 14:38
Completado: Mié, 24/04/2024 - 14:41
Modificado: Mié, 24/04/2024 - 14:41

Remote IP address: 80.74.51.59
Enviado por: Anónimo
Idioma: English

Is draft: No
Página actual: Completo
I have read the above statements and I hereby provided my explicit consent.
[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.
Full name: Fernando López
Date of consent: 2024-04-24
Pilot site/country Germany
Affiliated Organisation FIWARE Foundation
Type of affiliated organisation: SME and/or Innovation Company
Email [optional]: fernando.lopez@fiware.org
Telephone [optional]:
6. Education level: Post-Graduate (Master / PhD)
7. During my studies I have completed courses relevant to any of the below: Data analysis, Software platforms, Data storage, Data management, Software development, APIs, IoT
8. I have professional experience in the subjects below: Data analysis, Software platforms, Data storage, Data management, Software development, APIs, IoT, Web application, Machine learning
9. Years of professional experience in the water sector: 2 – 5
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 able to use relevant tools in my work environment., 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: The integration of flood prediction system into a alert system

Funding Support Agencies

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CY structural funds
CY Research and Innovation Foundation