R Markdown

Getting Started with R Markdown is a nice tutorial to get started.

AR, VR, and MR in the classroom

Kathy Schrock has compiled a lot of great resources:

• Augmented, Virtual, and Mixed Reality in the Classroom
• Augmented reality (AR) in the classroom
• Also: Augmented reality for STEM learning: A systematic review (Computers and Education, 2018)

This video is a great example of what will be: Hyper-Reality (it gets really good at the 2-minute mark).

Fixed Broadband Deployment

Fixed Broadband Deployment (by the FCC) is a nice web map that offers all kinds of options, including nice data downloading.

Workshop on data visualization literacy

Plotting the Course Through Charted Waters is pretty good.

How Machines Learn

One part of AI is machine learning, where the machine derives expertise (= algorithms) from experience based on training data. And that's where Big Data comes-in: if the training data are indeed 'big', then our AI can learn from many many data points (aka circumstances) and that makes the AI algorithms more and more useful.

Here's one catch: since the training data are not the same, AI algorithms are not reproducible as they train themselves using the ever-growing 'big' training data.

Northwestern University Knight Lab

Northwestern University Knight Lab is a community of designers, developers, students, and educators working on experiments designed to push journalism into new spaces.

There you have it. In-practice this means some great open-source tools for data viz:

• Timeline JS
• Storyline JS
• Scene VR

SCAM & FLICC

Found this here: The Franklin Institute hosts Science and Storytelling speaker

Related: How to Spot Fake News