Eagle: Toward the Internet of Pro-Active Hand-Held Sensors

Architecture, Crowd-Sourcing, Knowledge, Resilience, Science, Transparency
300 Million Talons...
300 Million Talons…

This new app turns iPhones into a handheld biosensor equivalent to $50,000 lab unit

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.

Read full article.

Danger Maps crowd-sources environmental contamination in China

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China's pollution problems are widespread, recently becoming the number one cause of social unrest in the country.

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.”

Read the full story here.

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Jean Lievens: Internet Phases: Past, Present, and Future

Access, Architecture, Crowd-Sourcing, Culture, Data, Design, Economics/True Cost, Education, Governance, Innovation, Knowledge, Materials, Mobile, P2P / Panarchy, Resilience, Transparency
Jean Lievens
Jean Lievens

Internet Phases: Past, Present, and Future

Jeremiah Owyang

web-strategist.com, 11 June 2013

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]

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Click on Image to Enlarge


Internet Phases: Past, Present, and Future

Attribute Brand Experience Era Customer Experience Era Collaborative Economy Era
Driving technology CMS and HTML Social Technologies Social Technologies
Years 1995: Internet had 14% american adoption 2005: Business blogging disrupted corporations 2013: AirBnb, TaskRabbit, Lyft, gain mainstream attention
What is shared Vetted Information Personal Ideas and Media Goods and Services
Who shares Few Many Many
Who receives Many Many Many
What it looks like Brands and media talk, people listen Everyone talks and listens Buy once, share many, need to buy less
Who has the power Brands and publishers Those who use social Those who share goods and services
Who is disrupted Traditional mediums: TV, Print Corporations, governments Corporations, governments
What must change Media models Communication and marketing strategy Business models
How corporations responded Created their own corporate website Adopted social tools internally, externally Learn to share products, enable marketplace
Software needed CMS and design tools SMMS, monitoring, communities Marketplace, ecommerce, communities, SMMS, Monitoring
Services needed User Experience, Design, Content Social strategy, community managers, communicators Agencies that help with trust, customer advocates, ?
Who wins Those who adopt Those who adopt Those who adopt

What it means to your career, clients, and company:

Continue reading “Jean Lievens: Internet Phases: Past, Present, and Future”

Michelle Monk: Geke.US Lays Out Government-Corporate Circles of Corruption

Access, Crowd-Sourcing, Data, Design, Economics/True Cost, Education, Geospatial, Governance, Innovation, Knowledge, Money, Politics, Transparency
Michelle Monk
Michelle Monk

Here is what they have as of today.  An extraordinary effort that should soon become automated.   You won't find these on LinkedIn!  Click for individual Venn diagram similar to the Keystone Pipeline shown below.,

Nominally Good:

AFL-CIO

The Rest:

Comcast   .   Defense Contractors   .   Disney   .   Enron   .   Fannie Mae   .   General Electric   .   Goldman Sachs   .   Green Energy   .   Keystone Pipeline   .   Media   .   Monsanto   .   Motion Picture Association of America   .   Oil Industry   .   Pharmaceuticals   .   Planned Parenthood   .   Social Networking Sites   .   Tobacco Industry   .   Walmart

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Phi Beta Iota: Now imagine this being done at every level of government from the municipality on up, across every policy domain, with whole systems analytics, true cost economics, and all trade-offs clearly visible. This is where we are going.  Humanitarian technology and Open Source Everything (OSE) are going to empower the public in a manner no government or corporation can conceive or achieve.

Jean Lievens: Video (1:39:09) Science Beyond Reductionism – “Model Free Methods” as a Holistic Shift

Crowd-Sourcing, Culture, Design, Economics/True Cost, Education, Governance, Knowledge, P2P / Panarchy, Politics, Resilience, Transparency
Jean Lievens
Jean Lievens

Monica Anderson is CEO of Syntience Inc. and originator of a theory for learning called “Artificial Intuition” that may allow us to create computer based systems that can understand the meaning of language in the form of text. Here she discusses the ongoing paradigm shift – the “Holistic Shift” – which started in the life sciences and is spreading to the remaining disciplines. Model Free Methods (also known as Holistic Methods) are an increasingly common approach used on “the remaining hard problems”, including problems in the domain of “AI” – Problems that require intelligence. She illustrates this using a Model Free approach to the NetFlix Challenge. Her website provides some background information.

Page for starting video

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FIRE SALE: 60% Off! Intelligence and IO Books on Sale by the Box

Knowledge
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The following books are on sale by the box at 40% of retail — 60% off.  Enterprising  individuals could reasonably expect to profit by buying a box and then selling the books at $20 each.  Or offices could buy on the credit card (arrange for invoice and payment via email to robert.david.steele.vivas [at] gmail [dot] com), distribute and if desired, have a follow-up Skype session with Robert Steele.  Going away, trying to empty the storage room before departure.  Boxes are generally 20 books to the box, or 16 books in some cases of larger books.

Steele, Robert David (2000).  ON INTELLIGENCE: Spies and Secrecy in an Open World.  Fairfax, VA: Armed Forces Communications and Electronics Association.

Steele, Robert David (2002).  THE NEW CRAFT OF INTELLIGENCE: Personal, Public, & Political.  Oakton, VA: OSS International Press.

Steele, Robert David (2006).  INFORMATION OPERATIONS: All Information in All Languages All the Time.  Oakton, VA: OSS International Press.

Steele, Robert David (2006).  THE SMART NATION ACT: Public Intelligence in the Public Interest.  Oakton, VA: OSS International Press.

Steele, Robert David (2010).  INTELLIGENCE FOR EARTH: Clarity, Diversity, Integrity & Sustainability.  Oakton, VA: Earth Intelligence Network.

Patrick Meier: Crowdsourcing Syrian Crisis via Twitter API

Crowd-Sourcing, Innovation, Knowledge
Patrick Meier
Patrick Meier

Crowdsourcing Crisis Information from Syria: Twitter API vs Firehose

Over 400 million tweets are posted every day. But accessing 100% of these tweets (say for disaster response purposes) requires access to Twitter’s “Firehose”. The latter, however, can be prohibitively expensive and also requires serious infrastructure to manage. This explains why many (all?) of us in the Crisis Computing & Humanitarian Technology space use Twitter’s “Streaming API” instead. But how representative are tweets sampled through the API vis-a-vis overall activity on Twitter? This is important question is posed and answered in this new study, which used Syria as a case study.

The analysis focused on “Tweets collected in the region around Syria during the period from December 14, 2011 to January 10, 2012.” The first dataset was collected using Firehose access while the second was sampled from the API. The tag clouds above (click to enlarge) displays the most frequent top terms found in each dataset. The hashtags and geoboxes used for the data collection are listed in the table below.

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. . . . .

In terms of social network analysis, the the authors were able to show that “50% to 60% of the top 100 key-players [can be identified] when creating the networks based on one day of Streaming API data.” Aggregating more days’ worth of data “can increase the accuracy substantially. For network level measures, first in-depth analysis revealed interesting correlation between network centralization indexes and the proportion of data covered by the Streaming API.”

Read full post with graphs and other links.

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