# Ten Research Challenge Areas in Data Science

arXiv: https://arxiv.org/abs/2002.05658 · HTML: https://mlsanity.com/paper/2002.05658/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jan 2020.

## Built on by (most cited first, 2 of 2)

- [A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs](https://mlsanity.com/paper/2106.13199/) (2021)
- [Machine Learning Prescriptive Canvas for Optimizing Business Outcomes](https://mlsanity.com/paper/2206.10333/) (2022)

## Abstract (arXiv)

Although data science builds on knowledge from computer science, mathematics, statistics, and other disciplines, data science is a unique field with many mysteries to unlock: challenging scientific questions and pressing questions of societal importance. This article starts with meta-questions about data science as a discipline and then elaborates on ten ideas for the basis of a research agenda for data science.