greater equality
Demystifying Data Science
Kevin Gray: How would you define Statistics, IT, Data Science, & AI in simple, layperson's terms? Dr. Randy Bartlett: Statistics is the scientific collection, organization, analysis, and interpretation of data. IT involves the development, maintenance, and use of computer systems, software, and networks. Based upon the colloquial usage, I would define Data Science as a catch-all term for everything to do with data. AI is software to support and make decisions.
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Data Science > Data Mining (0.51)
- Information Technology > Communications > Social Media (0.40)
Greater equality in science will take more than Ada Lovelace Day
In the beginning, the whole coding scene consisted of one woman. In the 1800s, the story goes, an aristocrat named Ada Lovelace was studying maths with inventor Charles Babbage, who had built a machine that could perform calculations – what we'd call a computer. Lovelace came up with a series of commands for the machine: the first computer program. Now, in celebration of this, the second Tuesday of every October is Ada Lovelace Day. It's not surprising that this has spiralled to become the most symbolic day for women working in science, maths and engineering, with Lovelace a figurehead for ongoing attempts to close a worrying gender gap in those fields.