Amazing conversation with Dr Emily Kahl from Pawsey Supercomputing Research Centre, on everything from the need for a humanities education in STEM, the application of Marxist and Feminist Lenses to Data Science, and a whole lot more. This was an absolute delight. Check it out! "I wanted to use the tools of maths and science… Continue reading Dr Emily Kahl on pretty much everything!
Tag: data science
What is creativity, and can chatbots have it?
Creativity requires a new take on something. An original perspective. Something no one else has thought of. LLMs, by definition, produce the kinds of things they have already seen. The kinds of things that already exist. The kinds of things that reinforce the status quo, entrench bias, and emphasise the mundane.
Darren Mansfield on Sleep, Data, and Sleep Tracking Devices
A super interesting episode with Professor Darren Mansfield on sleep, data, and sleep tracking devices. "imagine if you go and run a one hour documentary on something that's inconclusive. Here's all the evidence for you is the evidence against and we can't really don't know. That's not great television." " the truth is not always… Continue reading Darren Mansfield on Sleep, Data, and Sleep Tracking Devices
Sarah Beecroft on Bioinformatics and the joy of puzzles
Dr Sarah Beecroft from Pawsey Supercomputing Research Centre "it's fun. Like you, you know, uncovering kind of the deeper insights, I think, which is quite interesting as well. You're getting closer to the bigger story or the deeper story if you want to look at it that way. " "you kind of need to like… Continue reading Sarah Beecroft on Bioinformatics and the joy of puzzles
Scaling scams
It's important, when you're making graphs, to think about the story you want to tell with the data, and what type of graph, and what features of the graph, will help you tell that story. Likewise, when you're looking at someone else's graph, we all need to apply that critical data literacy and look at the scale on the y axis, as well as checking the labels, finding out the origin of the data, and considering whether the graph is accurate, a valid way to display that data, and what story it might be trying to tell you.