The AAAS Science and Technology Policy Fellows at the National Science Foundation (NSF) have organized another talk in their Data Science Seminar Series from Michael I. Jordan on Computational Thinking, Inferential Thinking and Data Science. The talk will be on Thursday, January 28 from 11:00-12:00PM at NSF Stafford I, Room 110.
The phenomenon of Big Data is creating a need for research perspectives that blend computational thinking (with its focus on, e.g., abstractions, algorithms and scalability) with inferential thinking (with its focus on, e.g., underlying populations, sampling patterns, error bars and predictions). There are many grand challenges involving in creating such a blend; indeed, there are foundational problems that span computation and inference that are far from being solved. There are also many implications for research, technology, policy and education.