Page 46 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report

Crowdsourcing AI and Machine Learning solutions for SDGs

Annex 2: Problem Statement Sample

The template below is the sample to be used when developing problem statements.
NOTE – please see the document “Problem statements and data resources” on the Challenge website for a
compilation of problem statements and data resources.
Table 2: Problem Statement Sample

ID-number ITU-ML5G-PS-TEMPLATE
Title Do not modify this particular table, this serves as a template, use
the one below.
Description NOTE 1 – include a brief overview followed by a description about
the problem, its importance to IMT-2020 networks and ITU, and
highlight any specific research or industry problem under consider-
ation.
Evaluation criteria NOTE 2 – this should include the expected submission format e.g.
video, comma-separated value (CSV) file, etc.
NOTE 3 – this should include any currently available benchmarks.
e.g. accuracy.

Data source NOTE 4 – e.g. description of private data which may be available
only under certain conditions to certain participants, pointers to
open data, pointers to simulated data.
Resources NOTE 5 – e.g. simulators, APIs, lab setups, tools, algorithms, add a
link in clause 2.
Any controls or restric- NOTE 6 – e.g. this problem statement is open only to students or
tions academia, data is under export control, employees of XYZ corpo-
ration cannot participate in this problem statement, any other rules
applicable for this problem, specific IPR conditions, etc.
Specification/Paper NOTE 7 – e.g. arxiv link, ITU-T link to specifications, etc.
reference

Contact NOTE 8 – email id or social media contact of the person who can
answer questions about this problem statement.

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