Posts Tagged ‘personal’
Your personal networks visualized as microbiological cells in Biologic
Last Updated on Sunday, 18 March 2012 02:22 Written by Celframe Web Team Monday, 16 April 2012 11:49
Data exists in digital form, on our computers and spreadsheets, but the exciting part about data is what it represents in the real world. Bits are people, places, and things. This is especially true with social data from places like Twitter and Facebook, where ideas flow and people talk to interact with each other in different ways. It’s not just retweets and likes. Bloom Studio, the folks who brought you Planetary, embrace this idea in their just released iPad app, Biologic.
The basic concept: choose a social network from the Twitter, Facebook or LinkedIn blobs on the opening screen. You will have to authenticate each one you try (only the first time) and then you will transition into a view of the people you follow represented as microbiological cells.
Glowing shapes inside the cells are activities (tweets, pictures, etc). The bigger the activity, the newer it is. The more the activity is moving, the more retweets/favorites/likes it has. Once you have read an item it gets darker so you can tell what’s new.
It looks like another great blend of data, generative art, and game dynamics. I don’t have an iPad though, so I’ll live vicariously through your comments. Grab Biologic (for free) on iTunes.
[Bloom Studios | Thanks, Tom]
Personal map of 2.5m GPS data points, 3.5 years in the making
Last Updated on Monday, 26 March 2012 05:46 Written by Celframe Web Team Wednesday, 28 March 2012 09:43
Aaron Parecki, co-creator of location platform Geoloqi, has collected his location every few seconds for over three years. He put his data on a map.
Approximately one GPS point was recorded every 2-6 seconds when I was moving, and these images represent about 2.5 million total GPS points. Collectively, they represent a data portrait of my life: everywhere I’ve been and the places I’ve been most frequently. The map is colored by year, so you can see how my footprint changes over the years, depending on where I live.
We've seen projects like this a few times before (Hey, Andy, where's your 2011 map?), but the longevity still surprises me, in a good way. (I think I've got this quantified self thing for the masses figured out. Don't even bother mentioning tracking, self-improvement, or the gadgets. Just show them stuff like this and attach some sentimental value, and there you go.)
The personal analytics of Stephen Wolfram
Last Updated on Sunday, 18 March 2012 02:21 Written by Celframe Web Team Friday, 23 March 2012 01:18
Stephen Wolfram examines his archive of personal data from emails to keystrokes to phone calls, going all the way back to 1990. Above shows the hourly distribution of his activities.
The overall pattern is fairly clear. It’s meetings and collaborative work during the day, a dinner-time break, more meetings and collaborative work, and then in the later evening more work on my own. I have to say that looking at all this data I am struck by how shockingly regular many aspects of it are. But in general I am happy to see it. For my consistent experience has been that the more routine I can make the basic practical aspects of my life, the more I am able to be energetic—and spontaneous—about intellectual and other things.
As personal analytics develops, it’s going to give us a whole new dimension to experiencing our lives. At first it all may seem quite nerdy (and certainly as I glance back at this blog post there’s a risk of that). But it won’t be long before it’s clear how incredibly useful it all is—and everyone will be doing it, and wondering how they could have ever gotten by before. And wishing they had started sooner, and hadn’t “lost” their earlier years.
Then again, even if you don’t actively collect data about yourself, there’s still plenty to go off of: email, mobile phone logs, text messages, calendars, etc. So I think it’s more about doing things with our existing (and growing) time capsules than it is about making sure we don’t lose things. It’ll be interesting to see what roles companies like Google, Twitter, and Facebook in providing views into our past.