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.
This handbook was created to address the principle challenge for good governance — waste — and the stink that accompanies waste. The solutions in this handbook will, in our view, scale.
OpenTopic is a news curation service which allows you to aggregate, monitor and filter any number of sources and to publish and share your selected ones to you selected outlets: from your WordPress site, to your social media channels and to your email newsletter engine. Within OpenTopic you can create one or more “Topic” dashboards. These are essentially display pages that aggregate incoming fresh content from the sources you specify. You can jump from one Topic dashboard to the next at the click of your mouse. To curate stories you simpy select the ones that are relevant to your audience and you are provided with an editing module to modify and personalize the story content. At this point you can also select on which one of your outlets (Channels) that story will be published and you can customize the story differently for each one of them. There is even an option that allows you to set-up some form of automated curation, by giving you the option to set up a set of simple rules, which when match, will trigger the publishing of a news story. OpenTopic allows you to hook up to an extended number of possible Channels, making it easy for you to post from one location to your web site, RSS feed, social media and newsletter. Last but not least, OpenTopic integrates a full analytics service, capable of reporting and showcasing the performance of your curation work across stories and distribution channels. My comment: Excellent tool for social media and community managers, as well as web marketing specialists in need to support effectively the finding of relevant news on a topic and the easy publishing to different channels from a centralized platform. Easy to use.
This portable biosensor is capable of detecting viruses, bacteria, proteins, toxins, and other specific modules, and takes just a few minutes to process, which could greatly speed up in-the-field assessments of issues as diverse as groundwater contamination, medical diagnostics, mapping the spread of pathogens, or tracking contaminants in the food system.
A new site called Danger Maps is harnessing the power of crowd-sourcing to identify polluted locations, such as waste treatment facilities, garbage dumps and oil refineries. The site was started by Liu Chunlei after he discovered that his Shanghai apartment is near a landfill, something that was not disclosed when he made his purchase.
Bloomberg reports that the internet is becoming an important tool for activists in China:
“More Internet users are starting to understand how important information and data can be for sustainable social activism,” said Isaac Mao, director of the Social Brain Foundation, a social incubator for Chinese grassroots culture. “Visual sites are very helpful for the public to understand the big picture.”
In a production economy, value creation depends on land, labor and capital. In a knowledge economy, value creation depends mainly on the ideas and innovations to be found in people’s heads.
Those ideas cannot be forcibly extracted.
All one can do is mobilize collective intelligence and knowledge. If knowing how to produce and sell has become a basic necessity, it no longer constitutes a sufficiently differentiating factor in international competition. In the past, enterprises were industrial and commercial; in the future, they will increasingly have to be intelligent.
The intelligent enterprise stands on three pillars: collective intelligence, knowledge management and information and collaboration technologies and needs the vital energy of intellectual cooperation.
Managing collective intelligence implies a radical change that will naturally elicit a lot of resistance. But we’re talking about a social innovation. Once it is in place, once the resistance has subsided, no one will want to go back to the way it was! As always, the problem lies “not in developing new ideas but in escaping from the old ones.” Keynes.
Drew Endy wants to build a programming language for the body.
Endy is the co-director of the International Open Facility Advancing Biotechnology — BIOFAB, for short — where he’s part of a team that’s developing a language that will use genetic data to actually program biological cells. That may seem like the stuff of science fiction, but the project is already underway, and the team intends to open source the language, so that other scientists can use it and modify it and perfect it.
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The effort is part of a sweeping movement to grab hold of our genetic data and directly improve the way our bodies behave — a process known as bioengineering. With the Supreme Court exploring whether genes can be patented, the bioengineering world is at crossroads, but scientists like Endy continue to push this technology forward.
Genes contain information that defines the way our cells function, and some parts of the genome express themselves in much the same way across different types of cells and organisms. This would allow Endy and his team to build a language scientists could use to carefully engineer gene expression – what they call “the layer between the genome and all the dynamic processes of life.”
According to Ziv Bar-Joseph, a computational biologist at Carnegie Mellon University, gene expression isn’t that different from the way computing systems talk to each other. You see the same behavior in system after system. “That’s also very common in computing,” he says. Indeed, since the ’60s, computers have been built to operate much like cells and other biologically systems. They’re self-contained operations with standard ways of trading information with each other.
The BIOFAB project is still in the early stages. Endy and the team are creating the most basic of building blocks — the “grammar” for the language. Their latest achievement, recently reported in the journal Science, has been to create a way of controlling and amplifying the signals sent from the genome to the cell. Endy compares this process to an old fashioned telegraph.
