Speaker A: My friend is creating a wide-area radio network for Afghanistan.
Speaker B: Afghanistan has no infrastructure — including radio stations. Although radio is popular, it is mostly shortwave, with a few local FM stations for the local Iman. And electricity for radio stations is spotty at best including in Kabul.
Speaker A: Well, I can build really cheap, “ultra” cheap, radio receivers.
Speaker B: As long as you are doing that, why not give them OpenBTS cell phones running on ambient energy, and include a radio app? Then get someone else — Google, Virgin Mobile, the Chinese or India — to focus on all-purpose cellular towers and tethered ballons?
Disaster responders cannot be everywhere at the same time, but the crowd is always there. The same is true for health care professionals such as critical care paramedics who work with an ambulance service. Paramedics cannot be posted everywhere. Can crowdsourcing help? This was the question posed to me by my colleague Mark who overseas the ambulance personnel for a major city.
. . . . . . .
So why not develop a dedicated smartphone app to alert bystanders when someone nearby is suffering from a Sudden Cardiac Arrest? This is what Mark was getting at when we started this conversation back in April. Well it just so happens that such an app does exist. The PulsePoint mobile app “alerts CPR-trained bystanders to someone nearby having a sudden cardiac arrest that may require CPR. The app is activated by the local public safety communications center simultaneous with the dispatch of local fire and EMS resources” (4).
Back in 2003 visionary artist Anne-Marie Schleiner wrote an inspiring paper entitled “Fluidities and Oppositions among Curators, Filter Feeders and Future Artists” describing the future role of online curators as nature’s own filter feeders. Anne-Marie is clearly referring to curators to and filter feeder in art world, but her rightful intuitions are equivalently applicable to the larger world of information, data, digital and content curation as well.
But let me explain better.
First. The term “filter feeders” is used in nature to describe a group of animals which thrives on its ability to filter organic matter floating around them. From Wikipedia: “Filter feeders are animals that feed by straining suspended matter and food particles from water, typically by passing the water over a specialized filtering structure. Some animals that use this method of feeding are clams, krill, sponges, baleen whales, and many fish (including some sharks). Some birds, such as flamingos, are also filter feeders. Filter feeders can play an important role in clarifying water, and are therefore considered ecosystem engineers.” From Wikipedia: “In marine environments, filter feeders and plankton are ecosystem engineers because they alter turbidity and light penetration, controlling the depth at which photosynthesis can occur.”
Second. If you re-read this last sentence slowly and look at what it could mean if applied to the field of content curation, it would read to me something like this: “In large information ecosystems like the web, filter feeders/content curators and content itself are ecosystem engineers because they: a) directly influence our ability to inform ourselves effectively and to discern truth from false and useless info (turbidity) b) shed light and clarity on different subjects which would otherwise remain obscure (light penetration) c) determine our ability to make sense of our own generated information streams (photosynthesis).” A very inspiring parallel indeed, giving a way to visualize the true importance and role that curation, disenfranchised from the confines of museums and art galleries, could have on the planetary information ecosystem. Anne-Marie writes: “Most web sites contain hyperlinks to other sites, distributed throughout the site or in a “favorites” section. Each of these favorite links sections serves as a kind of gallery, remapping other web sites as its own contents. Every web site owner is thus a curator and a cultural critic, creating chains of meaning through association, comparison and juxtaposition, parts or whole of which can in turn serve as fodder for another web site’s “gallery.” Site maintainers become operational filter feeders, feeding of other filter feeders sites and filtering others’ sites. Links are contextualized, interpreted and “filtered” through criticism and comments about them, and also by placement in the topology of a site. The deeper a link is buried, the harder it may be to find, the closer to the surface and the frontpage, the more prominent it becomes, as any web designer can attest to. I am what I link to and what I am shifts over time as I link to different sites… … In the process, I invest my identity in my collection – I become how I filter.” Anne-Marie vision (2003), pure and uninfluenced by what we have seen emerge in the last few years, paints a very inspiring picture of the true role of content curators and of the key responsibility they do hold for humanity’s future. Inspiring. Visionary. Right on the mark. 10/10
Samsung gives weaker-than-expected earnings guidance and HTC posts tepid results
“The mid and entry-level smartphones are quickly picking up share, and are getting quite powerful in their capabilities,” said CK Lu, an analyst at Gartner in Taiwan. “Basically, a year ago, you didn’t have many choices in low-end smartphones. But now in the China market, you can buy a 5-inch smartphone for around US$200.”
. . . . . .
“Shares are trading at a discount for smartphone makers like HTC, because investors have no idea if future models will be a success or not,” said Paul Chan, chief investment officer for Asia ex-Japan at Invesco Ltd., which holds HTC shares. “Earnings visibility for the sector is very low.”
Yes, you’re seeing that right, there are almost as many cell phone subscriptions as there are people. It’s an astounding statistic considering that the number of cell phone subscriptions was only a fraction of the population in 2005. Now, the U.N. projects that there will be 6.8 billion cell phone subscriptions while our total population is just over 7 billion. However, subscription growth rates have fallen to their lowest level in the last year. Still, that puts global penetration of cell phones at 96 percent, 89 percent in developing countries. And it’s developing countries which account for over 77 percent of the world’s cell phone subscriptions and, increasingly, those phones are smartphones.
While cell phone use is impressive, we can’t overlook how quickly more people around the world are connecting to the Internet. There are now about 2.7 billion people using the Internet, up from around one billion in 2005. But while that number is growing, there are regional differences in who is connected and who isn’t. For example, 77 percent of the developed world is connected, while sub-Saharan Africa has the lowest rate with less than 20 percent of the population using the Internet, though Itnernet access is on the rise there.
Artificial Intelligence (AI) can be used to automatically predict the credibility of tweets generated during disasters. AI can also be used to automatically rank the credibility of tweets posted during major events. Aditi Gupta et al. applied these same information forensics techniques to automatically identify fake images posted on Twitter during Hurricane Sandy. Using a decision tree classifier, the authors were able to predict which images were fake with an accuracy of 97%. Their analysis also revealed retweets accounted for 86% of all tweets linking to fake images. In addition, their results showed that 90% of these retweets were posted by just 30 Twitter users.
Two articles follow: one posits a seemingly global anti-US opposition, an Anti-American Network (AAN), and the other posits that political warfare is the answer to the Middle East portion of the problem. IMHO, both are worth considering. Further believe that, with respect to Boot & Doran’s approach, (a) coverage needs expansion to cover all the opponents Hirsch posits and (b) political warfare is a necessary but not sufficient component of our response and an NCTC-centric structure is probably not the way to go. We already have policy in place to deal with these kinds of things but it probably needs revision in light of international and domestic politics. In my view, what we need is national leadership (read: POTUS and Congress) with the guts and principles of Britain’s WWII leader Winston Churchill supported by an Executive Branch organizational structure combining the best features of their Special Operations Executive (SOE) and Political Warfare Executive (PWE), one authorized, directed, and capable of covertly, surgically and virtually “setting our adversaries ablaze.” Neither the currently tasked organization nor U.S Special Operations Command, or even the two together, is presently that structure.)
If you are looking for an effective tool to identify Twitter influencers in specific niches and regions of the world, here is a super handy new tool.
Twtrland is a new web app which allows you to easily find key influencers on many niche topics including the ability to identify those influencers based in specific geographic regions.
Try searching for a specific Twitter user by name and last name and check out the thorough profile that Twtrland builds for you. Very useful. Then try a city and drill down to find who are the influencers by using the filters on the left side. Finally try to search for one of the 60K skills already covered (too bad “Content Curation” isn’t there yet).
From the official site: “Twtrland. It allows you to search Twitter by names, location and skills and surfaces a wide variety of insights, stats and useful pointers. It’s especially useful if you’re researching specialists (by country/location) as well as checking someone out (beyond the usual LinkedIn search).”
Free version available.
The PRO version allows for more search results, filters, the ability to collect profiles into separate folders, to export them, and to analyze fully the stats of any brand, keyword or user for $19.99.
My comment: Hard to beat. Great research tool allows you to rapidly find relevant influencers in a growing number of verticals. Easy to use. Very useful.
Thanks to you, last week’s report on the collaborative economy was readily received, and has been viewed over 26k times, the media picked up on it, and bloggers alike. As we digest what it means, it’s important to recognize this is the next phase in the internet, and the next phase of social business. An interesting finding is that the second era (social) and the third era (collaborative economy), use the same technologies (social technologies) but instead of sharing media and ideas –people are sharing goods and services. This is all part of a continuum and we need to see our careers progress as the market moves forward with us.
[Social technology enabled the sharing of media and ideas called social business –the same tools enable sharing of goods and services called the collaborative economy]
Internet Phases: Past, Present, and Future
Brand Experience Era
Customer Experience Era
Collaborative Economy Era
CMS and HTML
1995: Internet had 14% american adoption
2005: Business blogging disrupted corporations
2013: AirBnb, TaskRabbit, Lyft, gain mainstream attention