This online competition challenges data scientists and data analysts to show how real time data can be used to support better water management services through the data generated by digital meters and providing feedback to consumers and water utilities. Evidence through data is critical to address the many challenges that the water sector is facing. Recent advances in machine learning (ML) and data analytics (DA) technologies have provided the opportunity for more efficient use of the vast amount of data generated by sensors, meters and other devices.

The aim is to improve the management of water data, detecting anomalies in water quality, sensors out of range to evaluate their impact and possible actions by implementing ML/AI algorithms. It is necessary to know how to detect false positives, and other anomalies in the interpretation of the data (processing with ML/AI to be able to differentiate a non-significant anomaly from those that require action).

 

Challenges Categories

The information about the different Challenges can be obtainen in the following web content Fiware4Water Challenges.

  • Real-time control of the behaviour of the sewer system.
  • Explore real-time quality of water sensor data.
  • Calculate water network events (e.g. bursts pipe or leakage) in the customer water consumption.

 

Practical:

Requirements

  • All projects need to use the Fiware4Water Reference Architecture through the helping of https://github.com/easy-global-market/f4w-challenges.
  • The solutions delivered by the teams will be open source. 
  • Accepted licenses include GPLv2, GPLv3, EUPL, AfferoGPL, MIT, BSD, etc as examples but other licenses compliant with previous requirements will be accepted as well.
  • All projects need to be hosted in a public repository - Github, Gitlab etc.
  • All projects need to be reproducible, therefore, submitted with the data, code and Readme so that they can be easily understood and run.
  • All projects need to be submitted for review by July 16th, 2021 at 6:00 PM CEST to be eligible to win.
  • The data supplied for the challenges are subject to copyright and cannot be shared outside of the team.
  • Review the validation process for each Challenge to get more detail in the Guide for Applicants.

Hackathon Sponsors

Prizes

5 non-cash prizes
Invitation to participate in the IBM 2021 Call for Code - Clean Water and Sanitation
1 winner

FIWARE Foundation and EGM intend to create a consortium to submit a proposal for the
IBM 2021 Call for Code - Clean Water and Sanitation for a chance to win $200,000 USD and receive comprehensive support to see your solution deployed. One representative (1) for each of the winning solutions will be invited to join the consortium. However, if the consortium agrees to not submit the proposal or the proposal does not get selected, FIWARE Foundation and EGM are not liable for any consequence.

Free social media promotion and global visibility through the FIWARE Community
1 winner

Starting from 01.08.2021, one (1) year of free social media promotion and global
visibility thanks to being featured throughout international cross-media channels of
FIWARE Foundation for each of the category winners.

Subscription to FIWARE Technical Webinars
1 winner

Starting from 01.08.2021, automatic subscription to the free technical webinars
provided by FIWARE Foundation. Winners can unsubscribe to the event list at any
time.

Joining the FIWARE Marketplace
1 winner

Joining the FIWARE Marketplace to provide visibility and commercial opportunities
based on the awarded solution.

Free tickets to the Smart City Expo World Congress 2021 (or any similar event during this year) to show the solution and meet investors and business angels.
1 winner

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Marc Ribalta Gené

Marc Ribalta Gené
Eurecat Technology Center

Benoit Orihuela

Benoit Orihuela
Easy Global Market

Fernando López

Fernando López
FIWARE Foundation

Alberto Abella
FIWARE Foundation

Judging Criteria

  • The evaluation criteria depends on each challenge
    This criterion will be modified in the future.
  • Each category has a special judge corresponding to the datasets owner
    In the composition of the Jury, each category will include a judge to evaluate the solution provided
  • Independent expert on water domain
    To maintain the odd number of judges, an expert in the water sector will be made public by Friday, 2 July 2021
  • Off-line evaluation (70%)
    Each challenge has a set of rules and metrics (see the Guide of Applicants). The best machine learning model delivered will receive the 100% score, while others will have a scoring relative to the performance in comparison with the best model.
  • On-line evaluation (30%)
    A pitch about your solution and a demo in front of the Fiware4Water Challenge’s Jury. This will be assessed on the selection Day (Thursday, 15 July 2021). Only those higher scoring projects will pass to the selection day.

Questions? Email the hackathon manager

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