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SoBigData Event

ECML-PKDD 2026: GreenDIGIT Challenge

About the Challenge


GreenDIGIT addresses the need to reduce the environmental impact of digital research infrastructures (RIs) through data-driven approaches for monitoring, analysing, and improving sustainability performance. As digital infrastructures account for a growing share of global greenhouse gas emissions, the project takes an infrastructure-level view that covers energy consumption, carbon footprint, and other sustainability-relevant dimensions across RI operations.

Within this context, the Environmental Impact Metric Publication System (EIMPS) serves as an enabling service for collecting and organising sustainability-related metrics from heterogeneous environments such as Grid, Cloud, and Network infrastructures.

This challenge focuses on predictive modelling over operational and sustainability-related time-series data, inviting participants to forecast near-future site-level workload and environmental impact signals - such as jobs, energy consumption, and carbon footprint - in a mature production-like infrastructure setting.

Registration and Submission

Awards

Interview published in a blog post and a dedicated page on the next SoBigData Magazine and formal recognition.
Outstanding participants may also be considered for inclusion in a joint publication describing the challenge outcomes.
Additinal prizes may be introduced if sponsorship funding becomes available.
 

Registration

  1. Fill in the Registration Form available here.
  2. Register in the SoBigData platform (an email will be sent).
  3. Get access to the VRE for the materials and computation resources.
  4. Submit your abstract.
  5. Evaluation, approval, and camera-ready version.
     

Submission

All participants are required to submit the complete code used in their solution, and the code must be executable on the data provided for the challenge.

Submissions must include:

All necessary pre-processing steps
A complete specification of libraries, dependencies, and tools
A final report (max 4 pages) describing the process and results