Connectionists: SaTML 2025 - Call for Competitions

[Rieck, Konrad]

Greetings!

We are happy to announce the launch of a Competition Track at SaTML 2025 (IEEE Conference on Secure and Trustworthy Machine Learning). We invite proposals for competitions on topics that advance trustworthy and secure machine learning. The results of these competitions will be presented and discussed at the conference.

All details on this call are available at https://satml.org/participate-cfc/

#### What Are We Looking For?

We seek proposals with a clear scientific question in areas where machine learning can advance scientific, technological, or business domains. We especially encourage submissions that demonstrate a positive societal impact, particularly those using AI to support disadvantaged communities.

Our focus is on data science competitions where participants will compete to achieve the highest score on a relevant machine learning task. These tasks will be based on well-defined problems and corresponding data sets provided by the competition organizers.

#### How to submit your proposal

Submit your competition proposals via email to contact at satml.org. Proposals should be concise, with a maximum length of three pages, to ensure a swift and efficient review process. Please also check the reviewing and selection process described at https://satml.org/participate-cfc/

#### Important dates

- Competition Proposal Deadline: August 7, 2024
- Acceptance Notification: August 16, 2024
- Competition Track (during the conference): April 9-11, 2025

Competition organizers should propose a timeline for running the competition to ensure participants have enough time to contribute high-quality entries. It is recommended that competitions be completed by early March 2025 (one month prior to the SaTML conference) at the absolute latest.

#### Contact and help

If you require help or suggestions regarding competition platforms or other organizational aspects, feel free to reach out to us at contact at satml.org. This call for competitions draws inspiration from the NeurIPS competition track.

Best regards,
Konrad & Somesh
SaTML Program Committee Chairs
https://satml.org