HDYK Episode 3: Remap with Kirstie Whitaker Artwork

How do you know?

It’s ironic that in an era of big data, truth sometimes seems more elusive than ever. To make better choices about how to manage our lives, our work, and our environment, we need to use the best possible information to guide us. But even with great data, humans don’t always make great choices- we misinterpret, we oversimplify, we fail to see fallacies in logic or flaws in the data itself- and even our most rational examinations of the numbers are fundamentally human, shaped by culture, prior experience, and our internal biases.In this podcast, we explore the process of how data becomes information, information becomes knowledge and knowledge becomes belief- and how, in turn, belief shapes the way we take and interpret data. From young learners to practicing scientists, the ways we incorporate information into our worldview is affected by our experiences. We combine social and data science perspectives with the study of how humans learn, in order to examine not just what we know, but how we know it.

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How do you know?

HDYK Episode 3: Remap with Kirstie Whitaker

July 22, 2021 • Christie Bahlai • Season 1 • Episode 3

Episode 3 is the place to be! After a brief hiatus to record a bunch more episodes (we're in post-production, baby!) the HDYK crew is back in the saddle and talking more data, and science, and data science. Stay tuned for much more quality content your dad will love! 2/3 of our dads agree, this is the best interdisciplinary data science podcast they’ve subscribed to!

This week, we’re going to talk about open science.

How do we ensure scientists are building on each other’s work, sharing data and information equitably, and making cumulative strides to solve humanity’s most vexing problems? Our guest this week is Dr. Kirstie Whitaker of the Alan Turning Institute in London, UK, and she’s here to talk about how working together makes science better. Kirstie leads, among many things, the Turing Way project, a community driven set of resources to help support better, more ethical and more collaborative data science.

This podcast is produced with the generous support of the Mozilla Foundation and the National Science Foundation, and with input from community members from Mozilla, the Environmental Data Science Inclusion Network, and our colleagues and students at Kent State University. A special shout out to Kristen Dowling and Emily Loccisano for managing our digital presence and branding. Music featured in this episode is The Jitters, by Metre, and obtained from freemusicarchive.org under a CC-BY-NC-SA license. This podcast and its accompanying materials licensed under a Creative Commons Attribution license- please share, like and use our stuff!

Transcript available: here.