Ten Research Challenge Areas in Data Science
arXiv:2002.05658v119 citations
AI Analysis
It outlines a research agenda for the data science community, but is incremental as it synthesizes existing ideas rather than proposing new solutions.
The paper identifies ten key research challenge areas in data science, addressing both scientific questions and societal issues, but does not present specific results or numbers.
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.