The Sceptical Data Scientist
More and more decisions are data driven now - and that’s awesome! Much better than ideologically driven, or personality driven, or “whatever mood management’s in today” driven. But it does mean we want to be confident of our analyses. And there’s a tendency to have deep faith in data science. “Look! I did a calculation! It must be true!” Numbers don’t lie. And maths is reliable.
But so much depends on the questions we ask, how we ask them, and how we test those results.
So how do we create a generation of sceptical data scientists? Whose first approach to a result is to challenge it. To try to disprove it.
We need to give them confidence in their skills, but teach them to doubt their own work.
Outline/Structure of the Talk
- Cautionary tales - why we need to be sceptical
- Practical Scepticism - what does data scepticism look like in the wild?
- Teaching Kids to be Sceptical Data Scientists
- Why do kids need to be sceptical data scientists?
- How do we make sure they are sceptical of our work, and
- Sceptical of their own
Understand the need for more sceptical Data Science
Understand the need to engage kids with Data Science
Know some ways you can help