Data Portrait Study Series Sketch 3 (Spatial Portraiture: Space as Content and Medium): After various explorations with space, this sketch shows how one can build a medium to depict a person's relation to a physical environment. One of the main challenge is to be able capture the spatiality of the outside world in a graphical environment. We live in space and that shapes our personality, but when we want to represent this spatiality we need a more spatial medium that lends itself to different configurations. This particular one is a portrait of a woman through her trip to Iceland last year. I use images, audio clips and a three-dimensional landscape where a viewer can walkthrough and listen the audio associated with the images. Body. By Stanza. Data Art About Stanza Stanza is an internationally recognized artist, who has been exhibiting worldwide since 1984. His artworks have won prestigious painting prizes and ten first prize art awards including:- Vidalife 6.0 First Prize. SeNef Grand Prix. Videobrasil First Prize.
The Sexperience 1000 Welcome to The Sexperience 1000, an interactive journey through the sexual experiences and preferences of one thousand British individuals. What’s the favourite sexual position of iPhone users in the North? Do country music lovers over 55 prefer to do it in the dark? Explore the 20 questions of our survey and discover what the great British public get up to between the sheets… What Do We Mean By Small Data Earlier this week we published the first in a series of posts on small data: “Forget Big Data, Small Data is the Real Revolution”. In this second in the series, we discuss small data in more detail providing a rough definition and drawing parallels with the history of computers and software. What do we mean by “small data”? Let’s define it crudely as: “Small data is the amount of data you can conveniently store and process on a single machine, and in particular, a high-end laptop or server” Why a laptop?
13 Things to Avoid When Changing Habits “Habit is habit, and not to be flung out of the window by any man, but coaxed downstairs a step at a time.” - Mark Twain Post written by Leo Babauta. Follow me on Twitter. Loom2 Work in Progress Although constructed for researchers to share news and information, Usenet quickly developed into a social environment with varied styles of interactions. Unfortunately, the browsers developed to view the shared messages fail to effectively convey the rich social features of a newsgroup, let alone all of Usenet. The goal of our research is to use the salient features of social interaction to build a "legible" interactive visual representation of Usenet. We started by exploring the Usenet environment, constructing a series of relevant questions. From the questions, we have started to explore how this information can be derived from the textual data available online. Simultaneously, we have started designing segments of a visualization, under the assumption that the desired characteristics were ascertainable.
OECD – Your Better Life Index Average personal index for Germany, men, 15–24 How’s life? There is more to life than the cold numbers of GDP and economic statistics – This Index allows you to compare well-being across countries, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life. Download executive summary Download the index data Learn more about the index Better Life BlogArchive Happiness pays
Photo Inspiration Who doesn’t love baby photography, One of the most challenging and time consuming type of photography. It is easily one of the hardest kinds just because of the sheer amount of unexpected drama with the kids. It is also one of the most popular kind of photography too. You see baby photography all around. Mapping the world with Tweets A new paper on the peer-reviewed online journal First Monday summarizes the results of a project to use geographic data gathered from Tweets to create a picture of the world according to Twitter. The researches, led by GDELT co-creator Kalev Leetaru, used the Twitter decahose, a massive feed of 10 percent of all tweets, access to which is normally sold at high price to marketers. The project covers the period of the Oct. 23, 2102, to November 30, 2012. During this time, 1,535,929,521 tweets were streamed from 71,273,997 unique users -- about 2.8 terabytes worth of data. But only about 3.04 percent of those contained geolocation data -- either exact coordinates from mobile phones or user-selected locations. All the same, that's an awful lot of geographical information, and allowed the authors to create this map of a month in the life of Twitter (Bigger, high-resolution version here):