Social media networks are evolving a new nervous system for our planet. These real-time networks provide immediate feedback loops when media-rich societies experience a shock. My colleague Todd Mostak recently shared the tweet map below with me which depicts tweets referring to “marathon” (in red) shortly after the bombs went off during Boston’s marathon. The green dots represent all the other tweets posted at the time. Click on the map to enlarge. (It is always difficult to write about data visualizations of violent events because they don’t capture the human suffering, thus seemingly minimizing the tragic events).
Click on Image to Enlarge
Visualizing a social system at this scale gives a sense that we’re looking at a living, breathing organism, one that has just been wounded. This impression is even more stark in the dynamic visualization captured in the video below.
Aaron Carapella, a Cherokee Indian, has taken it upon himself to create a map that shows the Tribal nations of the U.S. prior to European contact. The map is of the contiguous United States and displays the original native tribal names of roughly 595 tribes, and of that, 150 tribes are without descendants. Without descendants means that there is no one known to be alive from that tribe and are believed to be extinct.
Aaron’s journey to making the Native American Nations map began 14 years ago. At the age of 19, Aaron had already gained a great deal of knowledge from listening to stories from his family, elders from his tribe, and reading books on Native American history. To explain where his knowledge came from Aaron said, “My Grandparents would tell me, you’re part Native American and that’s part of your history. They would give me books to read about different tribes’ histories, so, I grew up with a curiosity of always wanting to learn more about Native American history.”
After reading the many books on Native tribes and not finding any authentic type maps which failed to accurately represent the hundreds of modern day and historical tribes, Aaron decided to start creating a map for himself that would be authentic and cultural. “The maps in the books were kind of cheesy, they only had maybe 50 to 100 tribes on them,” said Aaron.
The inspiration for the map to depict original tribal names came from a book that he was reading which explained the real names of tribes and reason they were given the names they have today.
“I didn’t want to make a map with just tribe’s given names on it. I wanted it to be accurate and from a Native perspective,” said Aaron.
As big data analytics begins picking up steam, we are seeing more and more interesting outlets to learn about different platforms to choose from. Not just catalogs and boastful corporation sites, but insightful criticism. One such recent stop was when we came about the “About” story of Bamboo DIRT.
According to the site:
Bamboo DiRT is a tool, service, and collection registry of digital research tools for scholarly use. Developed by Project Bamboo, Bamboo DiRT is an evolution of Lisa Spiro’s DiRT wiki and makes it easy for digital humanists and others conducting digital research to find and compare resources ranging from content management systems to music OCR, statistical analysis packages to mindmapping software.
One look at its tips for analyzing data and we were sold. Here we were turned on to such intriguing companies as 140kit and Dataverse. The user-supported recommendations were the best. About Dataverse, it said: “Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit.” Concise and giving all the needed vitals, this type of crowdsourcing recommendation site could really catch on as the world of big data analytics keeps growing beyond most users’ capacity to keep up.
We read numbers about the amount of time wasted on searching for documents all the time, and they are not pretty. When we stumbled upon Document Cloud, we could not help but wonder if this type of service will help with the productivity and efficiency issues that are currently all too common.
The homepage takes potential users through the steps of what using Document Cloud is like. First, users will have access to more information about their documents. Secondly, annotations and highlighting sections are functionalities that can be done with ease.
“Google, Facebook, Amazon and other web giants have harnessed big data to solve some of their biggest tech challenges. Now many of these engineers are setting out on their own with startups. Some are focused on analytics. Some are working on in-memory databases, which do all their work on data stored in memory instead of hard drives. Others are casting their lot with NoSQL, a new kind of database that spreads processing and storage across multiple servers and storage systems.”
For example, Data Gravity, founded in 2012 with headquarters in Nashua, NH and star Paula Long, makes big data more affordable by embedding the tech into storage systems. The implications posed by these startups for IBM SPSS, SAS, Palantir and Digital Reasoning are as yet unclear. VC’s certainly seem optimistic, with almost all of the startups mentioned raking in millions of dollars from various backers.
OpenCorporates, which has received an initial grant from Alfred P Sloan, one of the funders of Wikipedia, takes its business model from the open source software movement.
Company data that shows the complex relationships between companies and their subsidiaries worldwide is being made available as part of an initiative to place more government data in the public domain.
OpenCorporates, part of the Open Data Institute established by web inventor Tim Berners-Lee, is publishing data on millions of international companies and their subsidiaries – the first time the data has been made freely available.
The move is one of the first concrete actions to follow the G8 summit, where member states signed an Open Data Charter, committing them to make data available in ways that are easily discoverable, usable or understandable by the public.
The OpenCorporates website uses sophisticated analytics technology to map the relationships between companies registered in different jurisdictions, revealing complex networks of ownership.
