Data science has an unusual marketing problem. The role is consistently described using its most glamorous applications — building AI systems, training neural networks, discovering patterns in massive ...

Scientists are increasingly required by funding agencies, publishers and their institutions to produce and publish data that are Findable, Accessible, Interoperable and Reusable (FAIR). This requires ...

When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math teachers, he doesn't begin with code, algorithms, or buzzwords. Instead, he asks ...