These are the Prezi slides from a lecture I gave at Curtin University on the dynamics of form, content, and authorless collaboration online. Working in Prezi is great fun and forces you to develop your thoughts in three dimensions as opposed to PowerPoint’s single-plane linearity.
flaneur musings by teodor mitew Posts
In part 1 I mentioned Google’s focus on low latency sensors and massively redundant cloud data centers. Google is not the only company in the race though, and probably not the most advanced down that road. Ericsson – the world’s largest mobile equipment vendor – is seriously planning to operate 50 billion net-connected devices by 2020. Only a small fraction of these will be what we consider as ‘devices’ – mobile phones, laptops, Kindles. The enormous majority will be everyday objects such as fridges (strategic object due to its central role in food consumption), cars (see the new Audi), clothes, basically everything potentially worth connecting. This implies an explosion in data traffic.
As Stacey Higginbotham writes over at Gigaom:
So even as data revenue and traffic rises, carriers face two key challenges: One, the handset market is saturated; and two, users on smartphones are boosting their consumption of data at a far faster rate than carriers are boosting their data revenue. The answer to these challenges is selling data plans for your car. Your kitchen. And even your electric meter.
In other words, it is in the interest of mobile providers to extend the network to as many devices as possible so that they can start profiting from the long tail. As the competition in mobile connectivity is fierce and at cut-throat margins, the first company to start mass-connecting (and charging) daily objects is going to make a killing. Hence Google’s focus on sensors and data centers.
This presentation by wireless analyst Chetan Sharma outlines the motivation for mobile providers to bring the internet of things as quickly as possible.
“Whoever says that he ‘belongs to his time’ is only saying that he agrees with the largest number of fools at that moment.”
What collapsing empire looks like by Glenn Greenwald: – The title speaks for itself. A list of bad news from all across the US – power blackouts, roads in disrepair, no streetlights, no schools, no libraries – reads like Eastern Europe after the fall of communism, only that the fall is yet to come here.
Special Operations’ Robocopter Spotted in Belize by Olivia Koski: – Super quiet rotors, synthetic-aperture radar capable of following slow moving people through dense foliage, and ability to fly autonomously through a programmed route. This article complements nicely the one above.
Open Source Tools Turn WikiLeaks Into Illustrated Afghan Meltdown by Noah Shachtman: – Meticulous graphical representation of the WikiLeaks Afghan log. The Hazara provinces in the center of the country, and the shia provinces next to the Iranian border seem strangely quiet.
Google Agonizes on Privacy as Ad World Vaults Ahead by Jessica E. Vascellaro: – A fascinating look at the inside of the Google machine. They seem to have reached a crossroad of their own making – they either start using the Aladdin’s cave of data they have gathered already, or they keep it at arm’s length and lay the foundations of their own demise. Key statement: ‘In short, Google is trying to establish itself as the clearinghouse for as many ad transactions as possible, even when those deals don’t actually involve consumer data that Google provides or sees.’
Bruce Schneier has posted over at his blog the following draft of a social networking data taxonomy:
- Service data is the data you give to a social networking site in order to use it. Such data might include your legal name, your age, and your credit-card number.
- Disclosed data is what you post on your own pages: blog entries, photographs, messages, comments, and so on.
- Entrusted data is what you post on other people’s pages. It’s basically the same stuff as disclosed data, but the difference is that you don’t have control over the data once you post it — another user does.
- Incidental data is what other people post about you: a paragraph about you that someone else writes, a picture of you that someone else takes and posts. Again, it’s basically the same stuff as disclosed data, but the difference is that you don’t have control over it, and you didn’t create it in the first place.
- Behavioral data is data the site collects about your habits by recording what you do and who you do it with. It might include games you play, topics you write about, news articles you access (and what that says about your political leanings), and so on.
- Derived data is data about you that is derived from all the other data. For example, if 80 percent of your friends self-identify as gay, you’re likely gay yourself.
Why is this important? Because in order to develop ways to control the data we distribute in the cloud we need to first classify precisely the different types of data and their relational position within our digital footprint and the surrounding ecology. Disclosed data is of different value to Behavioral or Derived data, and most people will likely value their individual content such as pictures and posts much more than the aggregated patterns sucked out of their footprint by a social network site’s algorithms. Much to think about here.
22 statistics from the Business Insider illustrating the complete obliteration of the middle class in the US. Sobering data, considering that all countries pursuing US economic/monetary/taxation policies are in line for the same medicine. In essence this is a massive, unprecedented in its scale, hollowing up of individual wealth.
The World Cup is over, and so is semester 1 marking. But what a World Cup it was! Spain won what was rightfully theirs, Holland betrayed everything they stood for, Germany were fantastic, Maradona entertaining, Chile a pleasure to watch – all in all the best Cup I have seen so far (watched all since 1986). Back to reality. Unfortunately though, semester two is about to start soon while the next World Cup is in four years .