Instructional Video11:02
Bozeman Science

Modeling Systems with Evidence

12th - Higher Ed
New ReviewIn this video Paul Andersen shows you how to develop and use models in a mini-lesson on modeling systems with evidence. Two examples are included in the video and two additional examples are included in the linked thinking slides.
Instructional Video14:28
Bozeman Science

Statistical Analysis

12th - Higher Ed
New ReviewIn this video Paul Andersen shows you how to analyze and interpret data in a mini-lesson on statistical analysis. Two examples are included in the video and two additional examples are included in the linked thinking slides.
Instructional Video8:28
Bozeman Science

Qualitative and Quantitative Data

12th - Higher Ed
New ReviewIn this video Paul Andersen shows you how to use mathermatical and computational thinking in a mini-lesson on qualitative and quantitative data. Two examples are included in the video and two additional examples are included in the...
Instructional Video17:20
Be Smart

What is the Most Average Thing?

12th - Higher Ed
New ReviewWe may not know it, but averages affect our lives every day. Designers and manufacturers use averages to make our houses, cars, shoes and airline seats safer and more comfortable(ish). But calculating averages is way more complicated...
Instructional Video4:06
MinuteEarth

Who’s Eating All The Spiders?

12th - Higher Ed
The average human, in theory, eats 3 spiders a year. If you're not eating them and I'm not eating them, who is?
Instructional Video14:06
TED Talks

TED: Why AI needs a "nutrition label" | Kasia Chmielinski

12th - Higher Ed
What do sandwiches have to do with AI? Data reformist Kasia Chmielinski helps us think about artificial intelligence with a useful food metaphor — and breaks down why AI systems should have "nutrition labels" to ensure the development of...
Instructional Video15:16
TED Talks

TED: The billion-dollar problem in education | Tanishia Lavette Williams

12th - Higher Ed
Standardized testing is deeply woven into the fabric of US education, but does it foster genuine learning? Educator Tanishia Lavette Williams sheds light on the racial biases, financial costs and limited effectiveness of this kind of...
Instructional Video11:33
SciShow

How AI Could Change Biology

12th - Higher Ed
You've likely been seeing the rise of AI technology everywhere—and some people are pretty concerned about what it could mean for the future. But did you know it might hold the key to understanding, and even changing, parts of our...
Instructional Video9:16
TED Talks

TED: AI-generated creatures that stretch the boundaries of imagination | Sofia Crespo

12th - Higher Ed
Can AI help us see beyond our human capabilities? Through a kaleidoscopic blend of technology, nature and art, neural artist Sofia Crespo brings to life animals that push the boundaries of creativity and imagination. Her artistic...
Instructional Video6:49
Bozeman Science

AP Biology Practice 5 - Analyze Data and Evaluate Evidence

12th - Higher Ed
In this video Paul Andersen explains how scientists analyze data and evaluate evidence. He starts with a description of data and how it must be properly displayed. He then describes types of data in each of the four big ideas. He finally...
Instructional Video11:36
SciShow

These AIs Are About to Revolutionize Biology

12th - Higher Ed
Even though proteins are fundamental to life, it’s hard to predict what they look like. But two independent groups announced that they’d cracked it, and it’s all thanks to some seriously clever artificial intelligence.
Instructional Video13:01
Crash Course

Cats Vs Dogs? Let's make an AI to settle this (LAB)

12th - Higher Ed
Today, in our final lab, Jabril tries to make an AI to settle the question once and for all, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So...
Instructional Video9:56
TED Talks

TED: How we can build AI to help humans, not hurt us | Margaret Mitchell

12th - Higher Ed
As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI --...
Instructional Video16:56
Crash Course

How to Make an AI Read Your Handwriting (LAB)

12th - Higher Ed
John Green Bot wrote his first novel! Today, in our first ever Lab we’re going to program a neural network to recognize handwritten letters to convert the first part of John Green Bot’s novel into typed text. To do this we’re going to...
Instructional Video13:29
TED Talks

Julian Burschka: What your breath could reveal about your health

12th - Higher Ed
There's no better way to stop a disease than to catch and treat it early, before symptoms occur. That's the whole point of medical screening techniques like radiography, MRIs and blood tests. But there's one medium with overlooked...
Instructional Video13:54
Crash Course

The Replication Crisis - Crash Course Statistics

12th - Higher Ed
Replication (re-running studies to confirm results) and reproducibility (the ability to repeat an analyses on data) have come under fire over the past few years. The foundation of science itself is built upon statistical analysis and yet...
Instructional Video16:16
TED Talks

TED: Why all melodies should be free for musicians to use | Damien Riehl

12th - Higher Ed
Evoke a familiar tune in a song and get slapped with a lawsuit ... it's a tale almost as old as copyright itself. Lawyer and technologist Damien Riehl digs into why "owning" a melody is a ludicrous legal assertion and composes a radical...
Instructional Video15:16
Crash Course

Make an AI Sound Like a YouTuber (LAB)

12th - Higher Ed
Let’s try to help John Green Bot sound a bit more like the real John Green using Natural Language Processing. Today, we're going to code a program that takes a one word prompt and then completes the sentence that sounds like something...
Instructional Video19:49
TED Talks

Deb Roy: The birth of a word

12th - Higher Ed
MIT researcher Deb Roy wanted to understand how his infant son learned language -- so he wired up his house with videocameras to catch every moment (with exceptions) of his son's life, then parsed 90,000 hours of home video to watch...
Instructional Video25:14
SciShow

Climate Science From Space | SciShow Talk Show

12th - Higher Ed
Dr. Steve Running discusses his work at NASA using satellites to keep tabs on Earth’s ecological systems. Jessi from Animal Wonders drops by to introduce Hank and Steve to Bindi the Bearded Dragon.
Instructional Video11:48
TED Talks

Ben Wellington: How we found the worst place to park in New York City -- using big data

12th - Higher Ed
City agencies have access to a wealth of data and statistics reflecting every part of urban life. But as data analyst Ben Wellington suggests in this entertaining talk, sometimes they just don't know what to do with it. He shows how a...
Instructional Video6:26
Bozeman Science

Thinking in Patterns - Level 4 - Patterns in Data

12th - Higher Ed
A mini-lesson about patterns in data.
Instructional Video18:14
TED Talks

David McCandless: The beauty of data visualization

12th - Higher Ed
David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to...
Instructional Video10:41
Crash Course

Mean, Median, and Mode Measures of Central Tendency - Crash Course Statistics

12th - Higher Ed
Today we’re going to talk about measures of central tendency - those are the numbers that tend to hang out in the middle of our data: the mean, the median, and mode. All of these numbers can be called “averages” and they’re the numbers...