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Discovery Challenge

Call for Proposals: ECML PKDD Discovery Challenge

Description

We welcome proposals for the Discovery Challenge of ECML/PKDD 2023. Each year ECML/PKDD hosts several challenges in order to promote research and evaluate machine learning approaches in real-world applications. The Discovery Challenge is open to academic and industrial institutions as well as to non-profit organizations.

Each selected challenge will have a dedicated session in the conference for the presentation of the solutions.

Important Dates

Call for Discovery Challenge Proposals

  • Submission deadline: March 05, 2023
  • Notification of acceptance: March 19, 2023

Competition Time Frame

Competition maximum window: 

  • Start: April 1, 2023
  • End: June 15, 2023

Publish results: No later than 30 June 2023

Submit system descriptions: No later than 31 July 2023

All deadlines should expire at 23:59 Anywhere on Earth (AOE, UTC – 12).

Proposal Submission

The proposal should be up to 4 pages and should contain the following information:

  • Problem description: why is the problem challenging and interesting? What is the real-world application and the impact (research/societal, etc.)?
  • Details on the data. Privacy and ethical concerns if any. Provide details about the size of the data.
  • Evaluation: describe how you will perform the evaluation. For example, what type of metrics you will use and how you will ensure a fair and rigid evaluation.
  • Technical details:
    • The platform you will use to host the challenge and the leaderboard.
    • Baselines and codes for data accessing that you will provide to participants. Will these be shared through github?
    • Type of material for the participants’ submissions, like for example, a report, code etc.
  • Timeline for the challenge. Note that you should respect the overall time frame mentioned above.
  • Awards: The type of awards/prizes you will consider for the winning solutions.
  • Details of the organizers of the challenge (Short CVs, Contact Details).

For the submission please use the Springer LNCS format.

Please send your submission to the following email address ecml-pkdd-2023-discovery-challenge-chairs@googlegroups.com. For further questions and information please contact the Discovery Challenge chairs: André Panisson and Danilo Giordano at the same e-mail address.