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Subtask wants to fuse mind-mapping with project management

Subtask wants to fuse mind-mapping with project management | Big Data | Scoop.it
The web app offers a clean, graphically-oriented way for small teams to collaborate on projects. Subtask founder Michael Partheil says he wants it to become a more visual alternative to Basecamp.
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Infogr.am tries to keep the ugly out of graphic design

Infogr.am tries to keep the ugly out of graphic design | Big Data | Scoop.it
The number of free tools available to novice graphic designers has grown in recent years. GigaOM’s editorial producer Rani Molla tries out the latest, Infogr.am.
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We need a data democracy, not a data dictatorship

We need a data democracy, not a data dictatorship | Big Data | Scoop.it
A data democracy built to last needs tools that empower everyone to work with data rather than relying on apps and data scientists. Tableau helped ignite the data revolution, and its IPO could help it keep going.
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Global Multi-Level Analysis of the ‘Scientific Food Web'

Global Multi-Level Analysis of the ‘Scientific Food Web' | Big Data | Scoop.it

We introduce a network-based index analyzing excess scientific production and consumption to perform a comprehensive global analysis of scholarly knowledge production and diffusion on the level of continents, countries, and cities. Compared to measures of scientific production and consumption such as number of publications or citation rates, our network-based citation analysis offers a more differentiated picture of the ‘ecosystem of science’. Quantifying knowledge flows between 2000 and 2009, we identify global sources and sinks of knowledge production. Our knowledge flow index reveals, where ideas are born and consumed, thereby defining a global ‘scientific food web’. While Asia is quickly catching up in terms of publications and citation rates, we find that its dependence on knowledge consumption has further increased.

 

Global Multi-Level Analysis of the ‘Scientific Food Web'

Amin Mazloumian, Dirk Helbing, Sergi Lozano, Robert P. Light & Katy Börner

Scientific Reports 3, Article number: 1167 http://dx.doi.org/10.1038/srep01167


Via FuturICT, Complexity Digest
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Infographic Graphics | Interactive Charts | Piktochart Infographics

Infographic Graphics | Interactive Charts | Piktochart Infographics | Big Data | Scoop.it
Piktochart is the easiest way to generate your own infographic graphics. Check out this renowned info graphic app's product features here.

Via Patty Ball
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GigaOM

GigaOM | Big Data | Scoop.it
GigaOM delivers breaking news and in-depth analysis on the business of technology. Our reporters investigate trends, examine emerging business models, and profile startups.
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Datahero aims to turn us all into analytics stars

Datahero aims to turn us all into analytics stars | Big Data | Scoop.it
A startup called Datahero launched on Thursday with a new cloud service that makes visualizing data as simple as a few mouse clicks, and $1 million in seed funding. The company’s ultimate goal is to make big data something you or I could do.
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It's a beautiful thing when free data meets free analytics

It's a beautiful thing when free data meets free analytics | Big Data | Scoop.it
Machine learning service BigML and open data service Quandl are collaborating to make it easy to build predictive models around economic data. More importantly, though, is how easy Quandl makes it to find and use data.
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Predicting success for new drugs using Social Media analysis

Predicting success for new drugs using Social Media analysis | Big Data | Scoop.it

Treato's Gideon Mantel writes:

 

Social media can predict the success of a new drug launch much faster than traditional methods. Many pharmaceutical companies try to measure the success of their launch based on weekly script trends. The difference between social media data and data derived from prescriptions is significant: social media data can predict the future, while script data record the past.

 

Social media can also, to some degree, explain events and not just record them, since patient posts are much more nuanced than purchase data, often sharing the why and not just the what.

 

Using older methods, it can take years to understand the result and impact of a new drug launch. Today social media can provide early vital signals in real time.

 

To illustrate this, let’s look at Tecfidera (formerly called BG-12 during clinical trials), a new multiple sclerosis drug that Biogen launched on April 13 [through an examination of the patient voice from billions of patient-written social media posts on over 2,000 health blogs and forums].

 

Interestingly, since the launch of Tecfidera in mid-April, the most talked about MS drug in social media has been Tecfidera, bypassing all other MS medications and growing on a daily basis. We also see significant differences between Tecfidera discussions and that of other MS medications in that 36% of the Tecfidera discussions are on Facebook while for other MS medications only 28% of the discussions are taking place on Facebook (our analysis does not include Twitter).


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Art Jones's curator insight, May 31, 2013 10:45 AM

Monitoring social media conversations can predict the success of a new drug or not, more accurately than in the past.

Marie Ennis-O'Connor's curator insight, June 1, 2013 7:44 AM

Interesting.