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An AI-driven Tool for Record linkage in HDSS communities Within the INSPIRE Network

Criteria Selection: No elimination required; exclusion limited to teams not meeting team membership criteria.

Submission Expectations:

  • Description of the work
  • Functional code
  • Documentation outlining code and application execution
  • Scaling and integration guidelines for other platforms
  • Submission as a GitHub project
  • Participants should utilize their individual GitHub repositories
  • Steve is responsible for creating the GitHub repository for APHRC
  • Encouragement for teams to employ open-source environments.
  • All produced content must be usable by organizers without payment

Process of Implementation:

  • Evaluation Criteria:
    • Only the top 10 or 15 will be invited for presentations.
    • Disqualification for late submissions and plagiarism.
  • Hackathon Timeline:
    • Applications phase ends on 19th January 2024
    • Team meetings 24th February 2024
    • Hackathon kick-off and Application development 25th February 2024 – 4th March 2024
    • Submission 5th March 2024
    • Evaluation period: Three weeks for Award and presentation calls.
  • Presentation and Awards: 5th March 2024 – 26th March 2024

Winning Criteria:

  • Code Quality: Emphasis on well-written code with a focus on clarity, efficiency, and effectiveness.
  • Reproducibility: Evaluation of the extent to which the code can be easily replicated and produces consistent results.
  • Portability: Assessment of the code's adaptability to different environments and platforms.
  • Documentation: Thorough documentation that provides clear instructions on code functionality, usage, and any relevant information for future development or troubleshooting.

Code Ownership:

All outcomes of the hackathon will be open source and whose source code is made available to the public, allowing anyone to view, use, modify, and distribute the code.

Hackathon datasets

All the datasets are in the datasets direcoty:

Task

See here for more information.

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An AI-driven Tool for Record linkage in HDSS communities Within the INSPIRE Network

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