28 episodes

Make Me Data Literate features Dr Linda McIver interviewing fascinating people who work with Data, asking the question: What is the one thing you wish everyone knew about data? From Maths Education to Misinformation, we'll cover everything that's interesting about Data Science and how it affects us all.

Make Me Data Literate Dr Linda McIver, Australian Data Science Education Institute

    • Technology
    • 4.5 • 8 Ratings

Make Me Data Literate features Dr Linda McIver interviewing fascinating people who work with Data, asking the question: What is the one thing you wish everyone knew about data? From Maths Education to Misinformation, we'll cover everything that's interesting about Data Science and how it affects us all.

    Andrew Leigh on Data & Politics

    Andrew Leigh on Data & Politics

    "The rise of populism has been substantial across the advanced world, indeed across developing countries as well. So those of us who believe in data need to be strong proponents of the publication of those data even when it produces results that make us uncomfortable.

    Michael Brand, on the Science of Data Science

    Michael Brand, on the Science of Data Science

    "We do not teach people that making mistakes is not just right, but it's the only way of learning. It's the only way of becoming better."
    Honestly, I want to turn this whole episode into pull quotes! Go listen!

    Grant Ennis

    Grant Ennis

    "So like while we would never believe that if we saw a stone rolling down a mountain, that if we all just stared at it and willed it back up the hill, it would do that, we do tend to believe that if we all individually do our part for the environment or ask people to just individually act that because people want that to be so and want that to work, that it just will, we believe that if we give people more information than then somehow just spontaneously they will change their behaviour, which really is quite fanciful."

    Fiona Tweedie on Data Governance

    Fiona Tweedie on Data Governance

    Fiona Tweedie: data governance is not a topic that gets a lot of love. people yeah switch off when they hear it, but it really is the makes a huge amount of difference to what you're able to do with data (and not just avoiding big regulator fines)

    Mark Gray on Physics, Supercomputing, Robodebt, and the future of medicine

    Mark Gray on Physics, Supercomputing, Robodebt, and the future of medicine

    Mark Gray on technology. "people have developed a kind of implicit trust in the way that technology works. And I think partly it's because they don't actually understand how it works. And so, they just choose to trust it. I mean, I've got a lot of experience in programming. ...I would not trust a computer-driven car to not hurt me."

    Kate Carruthers on Data Governance and the people side of data

    Kate Carruthers on Data Governance and the people side of data

    "Behind every business problem is a human being with some kind of need. And if we understand that, we can solve it and increasingly now every business is a data driven business, but you can't let data be the only thing you need to, we need to focus in on the human problems we're trying to solve. And that's probably one of the things that is making me really think about this AI revolution that's happening now. And a lot of people seem to be putting forward crazy solutions and not keeping the human being with a real problem and real needs in mind with their solutions."

Customer Reviews

4.5 out of 5
8 Ratings

8 Ratings

seaside tallboy ,

Accessible, enjoyable, informative.

The title says it all: the talks are readily understood, (i.e. you don't need to be a statistician to 'get' the information proffered), often amusing, and informative. Data is integral to our lives whether we like it or not, and so it is best to understand how it is being used, abused or simply ignored by the press and powers that be.

Pseudo-Pea ,

Fascinating conversations

This podcast features fascinating conversations with data experts covering all manner of topics like user experience, proxy data and counting versus modelling, as well as discussions about the implications of good and bad data analysis.

@J_W ,

Stats

This has the potential of being a good information based podcast on data

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