Call for Abstracts Virtual NeurIPS 2020 CiML Workshop: "ML Competitions at the Grassroots"

[Adriënne Mendrik]

CiML (Challenges in Machine Learning) is a forum that brings together workshop organizers, platform providers, and participants to discuss best practices in challenge organization and new methods and application opportunities to design high impact challenges. With 1.3 billion people classified as multidimensionally poor (half of whom are children), ML competitions can be a powerful approach to not just increasing AI literacy but also for: 1) building self-efficacy; 2) upskilling to match 21st-century needs, and 3) expanding capabilities for the most vulnerable groups.

For the seventh edition of the CiML (Challenges in Machine Learning) workshop at NeurIPS, our goals are to: 1) Increase diversity in the participant community in order to increase quality of model predictions; 2) Identify and share best practices in building AI capability in vulnerable communities; 3) Celebrate pioneers from these communities who are modeling lifelong learning, curiosity and courage in learning how to use ML to address critical problems in their communities. 

We welcome 2-page extended abstracts on topics related to challenges in machine learning (Deadline: October 2nd). Check out the CiML website for more information: http://ciml.chalearn.org/ciml2020