Δευτερεύουσες καρτέλες

1. Pre-assessment questionnaire [WATERVERSE Project Pilots] : Submission #50

Submission Number: 50
Submission ID: 539
Submission UUID: 7d099580-549b-412e-ac62-74cea438ada8

Δημιουργήθηκε: Τετ, 04/24/2024 - 14:06
Completed: Τετ, 04/24/2024 - 14:19
Τροποποιημένο: Τετ, 04/24/2024 - 14:19

Remote IP address: 80.74.51.59
Submitted by: Ανώνυμος
Γλώσσα: English

Is draft: Όχι
Τρέχουσα σελίδα: Complete
I have read the above statements and I hereby provided my explicit consent. Ναι
[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. Ναι
Full name: Siddharth Seshan
Date of consent: 2024-04-24
Pilot site/country Germany
Affiliated Organisation KWR Water Research Institute
Type of affiliated organisation: Research Centre
Email [optional]: siddharth.seshan@kwrwater.nl
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
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: Yes
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., 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 understand the data management needs for a unique yet highly relevant pilot such as the German use case. Where a digital twin has been established, various IoT sensors are in place and citizens are involved in as well.

Funding Support Agencies

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CY structural funds
CY Research and Innovation Foundation