I’m pleased to share a call for papers for the NeurIPS 2019 workshop on Machine Learning for the Developing World (ML4D).
This will be the 3rd year for this workshop, which brings together researchers who employ ML methods in developing-world settings, study the societal impacts of new technology, or develop algorithms to handle with common constraints in the developing world (such as limited data storage or computational power).
- I was honored to take place in the 2017 workshop with a paper on “Household poverty classification in data-scarce environments: a machine learning approach”, coauthored by Varun Kshirsagar and his colleagues working on the Poverty Probability Index.
- Last year’s 2018 workshop focused on achieving sustainable impact. How do you go beyond a pilot or prototype into something long-term and meaningful?
- This year’s theme is around challenges and risks, particularly ethical issues such as unintended harms of deploying ML systems in developing region.
If you have relevant projects to present at the workshop, I encourage you to submit a 2-4 page short paper by September 13. The workshop will take place on Dec 13 or 14, near the end of NeurIPS 2019 in Vancouver, BC, Canada. Travel award funding is also available.