Toissijaiset välilehdet
1. Pre-assessment questionnaire [WATERVERSE Project Pilots] : Submission #59
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Lähetyksen tiedot
Lähetyksen numero: 59
Lähetyksen ID: 588
Submission UUID: d54c30ad-a6ac-4bc1-9419-a95acb219a83
Submission URI: /fi/projects/waterverse/waterverse_pilots_preassessment_submit
Luotu: To, 25.04.2024 - 12:23
Valmis: To, 25.04.2024 - 14:17
Muuttunut: Pe, 30.08.2024 - 14:36
Remote IP address: 130.180.45.42
Lähettäjä: Anonyymi
Kieli: English
Is draft: Ei
Tämänhetkinen sivu: Valmis
I have read the above statements and I hereby provided my explicit consent. | Kyllä |
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[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. | Kyllä |
Full name: | Marie Stolte |
Date of consent: | 2024-04-25 |
Pilot site/country | Germany |
Affiliated Organisation | Wasserverband Obere Lippe |
Type of affiliated organisation: | Water Association |
Email [optional]: | stolte@wol-nrw.de |
Telephone [optional]: | |
6. Education level: | Post-Graduate (Master / PhD) |
7. During my studies I have completed courses relevant to any of the below: | Rainfall-runoff modeling, GIS |
8. I have professional experience in the subjects below: | Rainfall-runoff modeling, GIS |
9. Years of professional experience in the water sector: | 2 – 5 |
10. I am currently working in a water organisation: | Yes |
11. I am fully aware of the terms “data management” and “data analysis”. | 3 |
12. I am aware of WATERVERSE and the relevant tools. | 3 |
13. I am aware of the data harmonization needs. | 3 |
14. I am aware of the data anonymization needs. | 3 |
15. I am aware of data cleaning needs. | 3 |
16. I am familiar with digital twins. | 2 |
17. I have used tools similar to the ones offered by WATERVERSE in water or in other domains/applications: | No |
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: | Possibilities of remote data transmission via LoRaWAN and AI-supported flood forecasting |