Podcast thumbnail for How do you know?

How do you know?

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by Christie Bahlai

5.0(3 reviews)
10 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸

Podcast Overview

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.

Language

🇺🇲

Publishing Since

5/19/2021

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Recent Episodes

Episode thumbnail for An absolutely irreproducible conversation with Nicole Nelson

October 17, 2022

An absolutely irreproducible conversation with Nicole Nelson

What happens when we can't reproduce our work- or someone else's? What does it mean about the science- and ourselves? Today on the podcast, we're talking to Nicole C. Nelson, an associate professor in the Department of Medical History and Bioethics at the University of Wisconsin, Madison, and an affiliate of the Holtz Center of Sciences and Technology Studies. Nicole's work examines scientist's assumptions about the natural world and how these assumptions shape scientific practice.&n...

Episode thumbnail for A balanced diet of machine learning education with Carrie Diaz Eaton

September 9, 2022

A balanced diet of machine learning education with Carrie Diaz Eaton

Welcome back to season 2 of HDYK! Today we're talking about how our positionality and the assumptions we make affect our approaches in science, but also thinking about how we turn that positionality into a strength by incorporating diverse viewpoints. We're starting this season with a great conversation with Dr. Carrie Diaz Eaton. Carrie is a mathematician and associate professor of digital and computational studies at Bates College. She co-founded QUBES, which stands for Quan...

Episode thumbnail for HDYK Episode 8: Eminent ladybugologists and zombie ideas with Kaitlin Stack Whitney and Sara Hermann

February 3, 2022

HDYK Episode 8: Eminent ladybugologists and zombie ideas with Kaitlin Stack Whitney and Sara Hermann

What happens to public understanding when science communication goes wrong? Experts go on the media to talk about their work, and somehow, something doesn’t connect. This misinterpretation gains steam, and soon it becomes an outright conspiracy, used to manipulate, polarize and undermine one political agenda or reinforce another. The misunderstanding becomes the message- chances to communicate new findings get lost as we get pulled into conversations trying to debunk rumors and myths. Today, ...

10 total episodes available

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What is 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.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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