MLADS 2027
Peer review

Guided by scholars, driven by peer review

The ICMLADS Scientific Committee brings the expertise and international perspective that keeps the conference credible. Its members review submissions, shape the programme and safeguard academic quality.

Committee members

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Join the committee

If you hold a PhD and have a solid research record in machine learning or data science, you may qualify to join the Scientific Committee. Members help shape the programme and uphold academic standards.

What members receive

Visibility

Recognition as a leader in your field.

Reduced fees

A 30% discount on conference registration.

Certificate of service

An official record of your role.

Fast-track consideration

Priority in affiliated journals or edited volumes.

Direct involvement

Influence over paper reviews and academic direction.

Apply

Step into a leadership role and help shape the field. Submit your application below.