Emergent Digital Practices

You may have heard that the highest-paid employee in each state is usually the football coach at the largest state school. This is actually a gross mischaracterization: Sometimes it is the basketball coach.

There’s a sea of interesting public data out there just waiting to be tapped into, but there’s a problem — most people have no earthly idea how to access it. And even if they’re able to make some headway, there’s still an untold number of connections between that data and even more data tucked away in another silo.

That’s where New York startup Enigma comes into play — founded by Hicham Oudghiri and Marc Dacosta and helmed by CEO Jeremy Bronfmann, Enigma taps into over 100,000 public data sources from state and federal records to SEC filings to lists of frozen assets in the United Kingdom all the way to Crunchbase. The end result is an incredibly simple, incredibly smart way to sift through and find connections in publicly available data

atNight project maps night time taxi and bike share traffic with twitter and instagram photos, and shares the code and data

 Lichty’s range of commentary and analysis dissects nearly two decades of what has now become new media society. Before Facebook’s IPO and Wikileaks’ media storm, artist-as-activists experimented with data gloves, virtual world performance, and anonymous, anarchic disruptions determined to bewilder traditional enclaves of art and political society. In this collection Lichty presents several such experiments in distributed creativity: collaborations across a range of technologies and platforms, where authorship becomes a vague placeholder and sometimes acts as a performance in of itself, and the artwork is equally in flux, always in process, and often disappearing into bits.

These essays provide an extensive and timely overview of critical thought on new media culture, written by an observer-participant who has made major contributions to the sociopolitical movements he archives. Spanning art and new media theory, activism and literary criticism, this assembly seeks to understand the networked society in flux: what it means when the virtual integrates with the physical, and when newer, uncategorized media works prompt major shifts in cultural production and change the very definition of art and protest. As a veteran observer of the technological society, Lichty has produced the ideal guidebook for exploring the wilderness of our digital mediascapes, both past and present.

This morning, The New Yorker launched Strongbox, an online place where people can send documents and messages to the magazine, and we, in turn, can offer them a reasonable amount of anonymity. It was put together by Aaron Swartz, who died in January, and Kevin Poulsen. Kevin explains some of the background in his own post, including Swartz’s role and his survivors’ feelings about the project. (They approve, something that was important for us here to know.) The underlying code, given the name DeadDrop, will be open-source, and we are very glad to be the first to bring it out into the world, fully implemented.

It’s what most people say they want. So how do we know how happy people are? You can’t improve or understand what you can’t measure. In a blow to happiness, we’re very good at measuring economic indices and this means we tend to focus on them. With hedonometer.org we’ve created an instrument that measures the happiness of large populations in real time.

Our hedonometer is based on people’s online expressions, capitalizing on data-rich social media, and we’re measuring how people present themselves to the outside world. For our first version of hedonometer.org, we’re using Twitter as a source but in principle we can expand to any data source in any language (more below). We’ll also be adding an API soon.

So this is just a start — we invite you to explore the Twitter time series and let us know what you think.

A Sample Big Geodata Exploration Tool
Powered by MapD and WorldMap

125 million tweets from 12/10/2012 to 12/31/2012

TweetMap is an instance of MapD, a massively parallel database platform being developed through a collaboration between Todd Mostak, (currently a researcher at MIT), and the Harvard Center for Geographic Analysis (CGA). 

The tweet database presented here starts on 12/10/2012 and ends 12/31/2012.  Currently 95 million tweets are available to be queried by time, space, and keyword.  This could increase to billions and we are working on real time streaming from tweet-tweeted to tweet-on-the-map in under a second.  

MapD is a general purpose SQL database that can be used to provide real-time visualization and analysis of just about any very large data set.  MapD makes use of commodity Graphic Processing Units (GPUs) to parallelize hard compute jobs such as that of querying and rendering very large data sets on-the-fly.

Hyper-lapse photography – a technique combining time-lapse and sweeping camera movements typically focused on a point-of-interest – has been a growing trend on video sites. It’s not hard to find stunning examples on Vimeo. Creating them requires precision and many hours stitching together photos taken from carefully mapped locations. We aimed at making the process simpler by using Google Street View as an aid, but quickly discovered that it could be used as the source material. It worked so well, we decided to design a very usable UI around our engine and release Google Street View Hyperlapse.

The site settings are purposely low (like having a maximum of 60 frames per animation) for greater accessibility. However, all the source code is available on Github (including examples and documentation) so developers can play with higher frame rates, better image quality, and more complicated camera movements