ECMLPKDD 2025 Discovery Challenge
We welcome proposals for the Discovery Challenge of ECML PKDD 2025.
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 to present the
solutions, and will be invited to submit one paper to the ECML/PKDD
workshop proceedings that describes the challenge and the winning
solution(s). Moreover, each competition should select and review the two
top solutions papers to be submitted to the ECML/PKDD workshop
proceedings.
Conference website:
https://ecmlpkdd.org/2025/
Discovery Challenge webpage:
https://ecmlpkdd.org/2025/submissions-discovery-track/
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Key Dates & Deadlines
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Submission Deadline*: March 24, 2025
Author Notification*: March 31, 2025
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Competition Time Frame
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Start*: After April 21, 2025
End*: No later than June 30, 2025
Publish results*: No later than 8 July 2025
Submit Papers for Proceedings*: 31 July 2025
*All deadlines expire on 23:59 AoE (UTC - 12))
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Proposal Submission
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The proposals should cover the end to end organization of a
challenge. The proposal should be 2 to max 4 pages and should contain
the following information:
- Problem description: Why is the problem challenging and
interesting? What is the real-world application and impact
(research/societal, etc.)? Potential research impact?
- Details on the exact tasks and the data (size, availability of meta data)
- Privacy and ethical concerns and considerations related to the problem, tasks and data.
- Evaluation: Describe very precisely how you will perform the
evaluation, and any other policies. For example, what type of metrics
you will use and how you will ensure a fair and rigid evaluation, are
there just quantitative tasks or also qualitative evaluations and if so
by whom, and how does this lead to the final ranking (pass/fail
criteria, scores etc).
- Communication plan: How do you plan to communicate, market and
promote the challenge? How do you drive the volume submissions? Are you
connected to particular communities? How do you ensure the challenge is
made accessible for a a wide variety of participants, so that everyone
could attend? How do you plan to communicate the results?
- Technical details: The platform you will use to host the
challenge, discussion areas, leaderboard, for example
codabench.org or
others. Baselines and code for data accessing that you will provide to
participants. Will these be shared through github?
- Reporting requirements for the participants’ submissions, like for
example, a report, code etc. and are these must have requirements or
optional, pass/fail or graded etc. ECML PKDD can offer facilities to
upload papers (CMT).
- Timeline for the challenge. Note that you should respect the overall time frame mentioned above.
- Awards: The type of tangible or intangible awards/prizes you will consider for the winning solutions.
- Details of the organizers of the challenge (Short CVs, Contact Details).
For reference, see the 2024 competitions at
https://ecmlpkdd.org/2024/program-discovery-challenge/
Submission site:
https://cmt3.research.microsoft.com/ECMLPKDD2025
Please submit your proposal as: Create new submission and select the track: Discovery Challenge.
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Paper format
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Discovery Challenge papers (describing the top systems) must be
written in English, have a maximum of 8 pages, and should be formatted
according to the Springer LNCS guidelines. Author instructions, style
files and a copyright form can be obtained from the Discovery Challenge
webpage (
https://ecmlpkdd.org/2025/submissions-discovery-track/). In case of questions, do not hesitate to contact the Discovery Challenge chairs (mail list below).
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Contact
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Please send your submission through CMT. For further questions and
information please contact the Discovery Challenge chairs, Carlos
Ferreira (Polytechnic Institute of Porto & INESC TEC), Peter van
der Putten (Leiden University & Pegasystems) and Rui Camacho
(University of Porto & INESC TEC) through the following mailing
list:
ecml-pkdd-2025-disco...@googlegroups.com