Data Visualization Authors and Blogs
Who can resist a colourful, thoughtful venn diagram anyway? In terms of blogging success, infographics are far more likely to be shared than your average blog post. This means more eyeballs on your important information, more people rallying for your cause, more backlinks and more visits to your blog.
Pantheon, a project from the Macro Connections group at The MIT Media Lab, explores cultural influences across countries and domains. To make our efforts tractable, Pantheon will not focus on culture, as it is understood in its broadest sense, but on cultural production. In a broad sense, culture can be understood as all of the information that humans—or animals —generate and transmit through non-genetic means . At Pantheon, however, we do not focus on the entire range of cultural information, but in a subset of this information that we define narrowly as cultural production. That is, we do not focus on cultural information such as passed on family values or societal trust , but on cultural production as proxied by the biographies of notable historical characters.
Jun 30 MMDS 2008 and CIM Last week the second Workshop on Algorithms for Modern Massive Data Sets was held at Stanford University. This workshop had an incredible density of prestigious speakers from the field of machine learning; I guess spending a weekend in California during the summer is an easy sell. Each of the four days of the conference had a theme. The official themes: Mainly Data
Ultraconcentrated2013 Control Room (Forward Command Post)2013 Substrate2013 Primitives (This Could be an Extraordinary Find)2013
Books Casey and I wrote Getting Started with Processing, a short and inexpensive guide to writing code for beginners and non-programmers. The book is heavy on examples and designed to help you get started quickly. It's propaganda material to get people hooked on coding: before long they're pursuing careers as artists or computer scientists, or worse yet, creating new programming languages to get others hooked, thus repeating the cycle. In 2007, I wrote Visualizing Data for O'Reilly.
When the Arduino YÚN was announced, I was definitely curious. Many people said it was overpriced because a Raspberry Pi with all the necessary add-ons was slightly cheaper and more powerful. Although I’ve managed to do some interesting things with my Pi (more on my home automation system to come), I’ve definitely found that it’s always been a little faster to get an Arduino interfacing with external components and they’re much harder to break. kiwitobes.com