[Call for Papers] First workshop on “Machine Learning & Global Health” ICLR 2023

[Abraham Owodunni]

Hello,

We invite submissions on machine learning and global health to the first Machine Learning and Global Health (ML&GH) workshop at ICLR 2023.

This workshop will start a lasting and consistent effort to close the gap between advances in machine learning, practitioners and policymakers working in public health globally. It will focus on difficult public health problems and relevant machine learning and statistical methods, which include but are not limited to:

• Disease transmission models;

• Multi-agent modelling;

• Epidemiology and public health;

• Semi-mechanistic modelling of infectious disease dynamics; and

• Any work within the intersection of ML and global health

The workshop will employ a double-anonymous review process. Each submission will be evaluated based on the following criteria:

•     Soundness of the methodology;

•     Novelty;

•     Relevance to the workshop; and 

•     Societal impacts.

We only consider submissions that haven’t been published in any peer-reviewed venue, including the ICLR 2023 conference. We allow dual submission with other workshops or conferences. The workshop is non-archival and will not have any official proceedings. All accepted papers will be allocated either a poster presentation or a talk slot.

Important Dates

Submission Deadline: February 2, 2023, Anywhere on Earth (AoE). 

Author notification: March 3, 2023, Anywhere on Earth (AoE)

Camera-ready deadline: April 25, 2023, Anywhere on Earth (AoE)

Submit here.

We look forward to receiving brilliant works from you.

Very best,

Organising Committee of ML&GH