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Immersion: a people-centric view of your email life | #SNA #tools #SNA_INDATCOM

Immersion: a people-centric view of your email life | #SNA #tools #SNA_INDATCOM | Public Datasets - Open Data - | Scoop.it
luiy's insight:
What is Immersion? It has been almost two decades since the beginning of the web. This means that the web is no longer just a technology of the present, but also, a record of our past. 

Email, one of the original forms of social media, is even older than the web and contains a detailed description of our personal and professional history. Immersion is an invitation to dive into the history of your email life in a platform that offers you the safety of knowing that you can always delete your data. Just like a cubist painting, Immersion presents users with a number of different perspectives of their email data. 
It provides a tool for self-reflection at a time where the zeitgeist is one of self-promotion. 
It provides an artistic representation that exists only in the presence of the visitor. 
It helps explore privacy by showing users data that they have already shared with others. 
Finally, it presents users wanting to be more strategic with their professional interactions, with a map to plan more effectively who they connect with. So Immersion is not about one thing. It’s about four. It’s about self-reflection, art, privacy and strategy. It’s about providing users with a number of different perspectives by leveraging on the fact that the web, and emails, are now an important part of our past.

 

 

 

Once you log in, Immersion will use only the From, To, Cc and Timestamp fields of the emails in the account you are signing in with. It will not access the subject or the body content of any of your emails.

 

Upon logging out of Immersion, you will be presented with a choice to save or delete your data, which contains your compressed email metadata and user profile. If you decide to save your email metadata with Immersion, that data will be stored in a secure system. You can always return to the site remotely and delete it at a later time, if you wish to do so.
If you take a snapshot of your Immersion network, the snapshot link will be accessible for 30 days, after which it will be deleted from our server.

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15 #Business Models to copy + PDF Download with all cases | #open

15 #Business Models to copy + PDF Download with all cases | #open | Public Datasets - Open Data - | Scoop.it
luiy's insight:

People that follow us know that we’re very open to share ideas and inspiration. In our latest slide deck we’ve visualised 15 remarkable business model examples from innovative companies. If you want you can download all examples as PDF.

 

We’ve looked at different industries: Health, banking & finance, travel, consumer goods, Telecom and so on. If you’ve found other equally inspiring examples feel free to share in the comments or via twitter.

All feedback is welcome!

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Timeline of Edward Snowden's revelations | Al Jazeera America | #NSA #databrokers #privacy

Timeline of Edward Snowden's revelations  | Al Jazeera America | #NSA #databrokers #privacy | Public Datasets - Open Data - | Scoop.it
Al Jazeera's in-depth look back at two months of leaks by the ex-NSA contractor who fled from Hong Kong to Russia
luiy's insight:

Timeline of Edward Snowden's revelations


Al Jazeera's in-depth look back at two months of leaks by the ex-NSA contractor who fled from Hawaii to Hong Kong to Russia after releasing loads of documents on surveillance in the U.S. and around the world. The information below is compiled from the news outlets that first reported the data.

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Everything We Know About What #DataBrokers Know About You | #opendata #privacy #surveillance

Everything We Know About What #DataBrokers Know About You | #opendata #privacy #surveillance | Public Datasets - Open Data - | Scoop.it
The companies that sell information about how much money you make — and whether you’re pregnant, divorced, or trying to lose weight — are facing new scrutiny.
luiy's insight:

Do companies collect information about my social media profiles and what I do online?

 

Yes.

As we highlighted last year, some data companies record — and then resell — all kinds of information you post online, including your screen names, website addresses, interests, hometown and professional history, and how many friends or followers you have.

Acxiom said it collects information about which social media sites individual people use, and "whether they are a heavy or a light user," but that they do not collect information about "individual postings" or your "lists of friends."

More traditional consumer data can also be connected with information about what you do online. Datalogix, the company that collects loyalty card data, has partnered with Facebook to track whether Facebook users who see ads for certain products actually end up buying them at local stores, as the Financial Times reported last year.

   

How do I know when someone has purchased data about me?

 

Most of the time, you don't.

When you're checking out at a store and a cashier asks you for your Zip code, the store isn't just getting that single piece of information. Acxiom and other data companies offer services that allow stores to use your Zip code and the name on your credit card topinpoint your home address — without asking you for it directly.

Is there any way to stop the companies from collecting and sharing information about me?

Yes, but it would require a whole lot of work.

Many data brokers offer consumers the chance to "opt out" of being included in their databases, or at least from receiving advertising enabled by that company. Rapleaf, for instance, has a "Permanent opt-out" that "deletes information associated with your email address from the Rapleaf database."

But to actually opt-out effectively, you need to know about all the different data brokers and where to find their opt-outs. Most consumers, of course, don't have that information.

In their privacy report last year, the FTC suggested that data brokers should create a centralized website that would make it easier for consumers to learn about the existence of these companies and their rights regarding the data they collect.

 
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#Sentiment Analysis on Twitter with Datumbox API | #open #dataviz

#Sentiment Analysis on Twitter with Datumbox API | #open #dataviz | Public Datasets - Open Data - | Scoop.it
Hey there! After my post about sentiment analysis using the Viralheat API I found another service. Datumbox ist offering special sentiment analysis for Twitter. But this API doesn´t just offer sent...

Via Mariana Soffer
luiy's insight:

Datumbox offers a large number of off-the-shelf Classifiers and Natural Language Processing services which can be used in a broad spectrum of applications including: Sentiment Analysis, Topic Classification, Language Detection, Subjectivity Analysis, Spam Detection, Reading Assessment, Keyword and Text Extraction and more. All services are accessible via our powerful REST API which allows you to develop your own smart Applications in no time.

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Mariana Soffer's curator insight, September 9, 2013 7:23 AM

Twitter Sentiment Analysis, Subjectivity Analysis, Topic Classification, Spam Detection, Adult Content Detection, Readability Assessment, Language Detection, Commercial Detection, Educational Detection, Gender Detection, Keyword Extraction, Text Extraction and Document Similarity.“

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Guide du #datajournalisme | #dataviz

Guide du #datajournalisme | #dataviz | Public Datasets - Open Data - | Scoop.it
Le Guide du Datajournalisme dresse un panorama des pratiques du datajournalisme aujourd'hui et donne des repères pour ceux qui veulent se lancer dans cette nouvelle branche du journalisme, à la croisée de l'investigation, du...

Via Pierre Levy
luiy's insight:

Ce livre est destiné à être une ressource utile pour tous ceux qui pensent devenir datajournaliste ou qui s’intéressent simplement à la discipline.

Beaucoup de gens ont contribué à son écriture et nous nous sommes efforcés de faire ressortir leurs voix et leurs opinions diverses. Nous souhaitions qu’il se lise comme une conversation riche et instructive sur le datajournalisme, les raisons et la manière de le pratiquer.

 

Malheureusement, le simple fait de lire ce livre ne vous apportera pas toutes les connaissances et les compétences requises pour devenir datajournaliste. Cela demanderait une énorme bibliothèque gérée par des centaines d’experts capables de répondre à des questions diverses sur des centaines de sujets différents. Par chance, cette bibliothèque existe : elle s’appelle Internet. Nous espérons plutôt que ce livre vous donnera une idée ce qu’il faut faire pour commencer et des pistes à explorer si vous voulez creuser le sujet. Les exemples et les tutoriels sont fournis à titre indicatif et n’ont pas pour but d’être exhaustifs.

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[dataviz] Visualisez les jeux de données de NYC en #opendata

[dataviz] Visualisez les jeux de données de NYC en #opendata | Public Datasets - Open Data - | Scoop.it

Via 15marches, Lockall
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15marches's curator insight, September 4, 2013 3:22 AM

Ça vaut le coup d'attendre le chargement....

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What exactly do data scientists do? | #datascience

What exactly do data scientists do? | #datascience | Public Datasets - Open Data - | Scoop.it
They find truth, intrigue and drama in what is dry-as-dust information to us, says Shraddha Uchil, who met a few of these cyberspace alchemists. - Lifestyle dna

Via Pierre Levy
luiy's insight:

So what skills would a person need to become a good data scientist?

 

Academically, a basic foundation in computer science, mathematics and statistics is sufficient, says Bhattacharji. However, the  alchemy of these skills is what differentiates the boys from the men.

 

Agreeing with him, Harsh Singhal, a data scientist at LinkedIn, says, “Data scientists come from multi-disciplinary backgrounds. They can code, create visuals, convert data into products and they can tell stories.” In other words, a data scientist has to be a storyteller. Data science is all about being curious and spotting trends by looking beyond the obvious.

 

Say, for instance, Flipkart, arguably India's most popular e-commerce portal, wants to know which of its customers are most likely to commit credit card frauds. How do they go about it? “If you look at a customer's files, all the raw data is available,” says Regunath B, the principal architect at Flipkart. But what’s just raw data to the unskilled is a juicy bag of information to a data scientist. And here’s where he works his magic.

 

“A data scientist uses algorithms to predict possible fraud, and keeps the company updated,” he adds. Thus, a data scientist must be able to understand problems from the business' perspective.

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Big Government Opens Big Database For Cancer Research | #opendata #health

Big Government Opens Big Database For Cancer Research | #opendata #health | Public Datasets - Open Data - | Scoop.it
For those of us without degrees in molecular biology, the idea of "personalized medicine" – or PM – can often seem like a vague and distant concept. In this case, the Wikipedia definition of PM is pretty good: Personalized medicine or PM is a medical...
luiy's insight:

Personalized medicine or PM is a medical model that proposes the customization of healthcare – with medical decisions, practices, and/or products being tailored to the individual patient. The use of genetic information has played a major role in certain aspects of personalized medicine, and the term was even first coined in the context of genetics (though it has since broadened to encompass all sorts of personalization measures). To distinguish from the sense in which medicine has always been inherently “personal” to each patient, PM commonly denotes the use of some kind of technology or discovery enabling a level of personalization not previously feasible or practical. Wikipedia.org Definition of Personalized Medicine

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Crawford PhD - Online productivity tools for study and research | #elearning #ples

Crawford PhD - Online productivity tools for study and research | #elearning #ples | Public Datasets - Open Data - | Scoop.it

Via Elodie Crespel
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Elodie Crespel's curator insight, July 6, 2013 11:27 AM

Research management tools
Productivity tools overview
Documents, slideshows, and spreadsheets
Dropboxes
To-do lists
Calendars
Online bookshelves

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Data Wrangling with Open Source Tools | #opensource #dataviz

Data wrangling with open source tools Tony Hirst Dept of Communication & Systems The Open University, UK

Via Ana Cristina Pratas
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NYC Youth Hackers Use #OpenData - Socrata | #hackathon

NYC Youth Hackers Use #OpenData - Socrata | #hackathon | Public Datasets - Open Data - | Scoop.it
Last weekend, dozens of young hackers and coders took part in an age 18-and-under open data hackathon known as Young Rewired State – New York City. Young Rewired State (YRS) is the youth-focused branch of ...
luiy's insight:

Last weekend, dozens of young hackers and coders took part in an age 18-and-under open data hackathon known as Young Rewired State – New York City.  Young Rewired State (YRS) is the youth-focused branch of Rewired State, a network of software developers, engineers and civic activists based in the United Kingdom. YRS New York City, held at the Museum of the Moving Image in Astoria, Queens, was YRS’ first-ever youth coding event held abroad, and precedes similar events to be held in Berlin, Joannesburg, Aarhaus and San Francisco later this year.  

Volunteer mentors with design, coding, or data experience also attended the event, assisting teams throughout the weekend with idea refinement, code debugging, and beautification. And, a graphics bar staffed by graphic designers delivered turnkey, web-ready images for those teams who requested them. Mentors included teachers, professional software developers, and members of Mozilla’s Hive, a local youth education outreach group that also co-sponsored the event.  

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Kaggle. #DataScience Community | #gamification #opendata

Kaggle. #DataScience Community | #gamification #opendata | Public Datasets - Open Data - | Scoop.it
Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
luiy's insight:
Kaggle Connect is a consulting platform that connects companies to the elite from our community of 115,812 data scientists. Kaggle works with large companies like GE, Allstate and Merck, as well as smaller enterprises to help with all data science problems (e.g. improving sales forecasting, customer segmentation, retain customers, optimize pricing and much more).

Let us know if you have a question and data that we can use to help you address it. Kaggle supports two competition types:Predicting the past

Predicting the past requires contestants to build models
that are evaluated against a past event (the idea being
that highly performing models can then be adopted by the competition host).

For example, an insurance company might host a predicting-the-past competition that requires competitors to build models that identify fraudulent claims. The winning model(s) would then be deployed by the insurance company to predict fraudulent claims in the future.

Predicting the future

Predicting the future requires contestants to make 
predictions about a future event. Organizations may then choose to act on predictions made by contestants who 
have a history of forecasting accurately.

For example, a managed fund might require contestants 
to forecast the price of all stocks in the Dow Jones
Industrial Average in six months' time. The fund may then invest based on the forecasts made by highly
rated statisticians.

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ISTC for Big Data. Intel Science & Technology Center for #BigData | #papers #presentations #SNA_INDATCOM

ISTC for Big Data. Intel Science & Technology Center for #BigData | #papers #presentations #SNA_INDATCOM | Public Datasets - Open Data - | Scoop.it
luiy's insight:

Come meet some of our people (as well as some guest speakers) and hear them speak at these upcoming industry events.


You can also download select papers and presentations from past events below.


Annual Conference on Very Large Data Bases 2013 (VLDB 2013), August 26-30, 2013, Riva del Garda, Italy

 Keynote: “The DataHub: A Collaborative Data Analytics and Visualization Platform.” Sam Madden“Counting with the Crowd.” Adam Marcus, David Karger, Sam Madden, Robert Miller, Sewoong Oh“Processing Analytical Queries over Encrypted Data.”  Stephen Tu, Frans Kaashoek, Sam Madden, Nickolai Zeldovich“Scorpion: Explaining Away Outliers in Aggregate Queries.”  Eugene Wu, Sam Madden“Hadoop’s Adolescence: An Analysis of Hadoop Usage in Scientific Workloads.” Kai Ren, Yongchul Kwon, Magdalena Balazinska, Bill Howe“A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis.”  Emad Soroush, Spencer Wallace, Magdalena Balazinska, Matthew Moyers, Simon Krughoff, Jake Vanderplas, Andrew Connolly


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Find out (some of) what one big #databroker knows about you | #opendata #awareness #privacy

Find out (some of) what one big #databroker knows about you | #opendata #awareness #privacy | Public Datasets - Open Data - | Scoop.it
Leading data broker Acxiom's free AboutTheData.com service offers a glimpse of the ad-targeting information the company has collected about you. But opting out of targeted ads may not be so simple. Read this article by Dennis O'Reilly on CNET.
luiy's insight:

View the information Acxiom has collected about you


Before you send in your $5 to get the scoop on yourself, check out your Acxiom profile on AboutTheData.com. Considering the original sources of the information -- government agencies, businesses, retailers, and other public and private organizations -- the chances are pretty good you'll be in the company's database. Acxiom claims to have the lowdown on hundreds of millions of people around the world, and about half the population of the U.S.

 

Start by clicking the link at the bottom of the AboutTheData.com home page to "See and Edit Marketing Data about You." Complete an online form that asks for your name, address, complete birthday, e-mail address, and the last four digits of your Social Security number.

Usually I would hesitate to volunteer this information to a site I haven't done business with in the past. But data brokers such as Acxiom know a lot more about us than these basics.

 

After you enter the captcha and press Enter, Acxiom's marketing data about you is presented in six categories: Characteristics, Home, Vehicle, Economic, Shopping, and Household Interests. For example, the Economic category estimates your household income and indicates the type of credit cards you use, your purchasing history, and your lines of credit.

 
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Truthy : Information diffusion research | #dataviz #opendata

Truthy : Information diffusion research | #dataviz #opendata | Public Datasets - Open Data - | Scoop.it
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Information diffusion research at Indiana University

Truthy is a research project that helps you understand how communication spreads on Twitter. 


We currently focus on tweets about politics, social movements and news.

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Syria v Libya v Iraq | #dataviz

Syria v Libya v Iraq | #dataviz | Public Datasets - Open Data - | Scoop.it
A numerical evaluation of recent conflictHOW does the civil war in Syria, which pits rebels armed with light weapons against the tanks and jets of the government,...

Via Pierre Levy
luiy's insight:

HOW does the civil war in Syria, which pits rebels armed with light weapons against the tanks and jets of the government, compare with the bombs planted by terrorists in Pakistan or the drug war in Mexico? The Global Peace Index 2013 has masses of data on the cost in lives and money of violence, but the chart below gives the clearest picture of how the conflicts fought in 2012 stack up. The report also contains a fancy index on the cost of containing violence relative to each country's economic weight. North Korea comes top; America is alarmingly high, sandwiched between Bahrain and the Central African Republic.

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Public #OpenData: The Good, the Bad, the Future

Public #OpenData: The Good, the Bad, the Future | Public Datasets - Open Data - | Scoop.it
New technology tools, combined with raised expectations among voters and stakeholders for government transparency, have sparked a movement toward “open government.
luiy's insight:

New technology tools, combined with raised expectations among voters and stakeholders for government transparency, have sparked a movement toward “open government.” Championed by advocacy organizations and a few high-profile elected officials, the trend seeks to promote greater accountability and responsiveness for the systems of representative democracy. An area of particular opportunity — as well as potential concern — is the growing cache of large datasets of public information now available on the Internet.

 

Government entities from cities to nations are making data not only public but accessible. Earlier, such data was often buried in City Hall filing cabinets, provided only after Freedom of Information Act requests, or published electronically but in cumbersome formats. Machine-readable formats allow new applications, analysis and visualizations to be developed by anyone with basic skills and an Internet connection. Datasets from many corners of government are coming online: public health and demographic information, business licenses and property ownership, campaign contributions and expenditures, crime reports, school test scores, and much more.

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How will #Africa's growing population shape the future of our planet? | #opendata

How will #Africa's growing population shape the future of our planet? | #opendata | Public Datasets - Open Data - | Scoop.it
Visualizing the fight against poverty. Submit your best development dataviz by clicking on the...
luiy's insight:

“Right now, with a couple of exceptions, Africa’s population density is relatively low; it’s a very big continent more sparsely populated than, say, Europe or East Asia. That’s changing very quickly. The continent’s overall population is expected to more than quadruple over just 90 years, an astonishingly rapid growth that will make Africa more important than ever.”

Using forecast data from the United Nations Population Division the Washington Post team produced nine charts that tell the story of the next 90 years as forecast by the UN. 

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#OpenData Privacy | Open Knowledge Foundation Blog | #privacy #data

#OpenData Privacy | Open Knowledge Foundation Blog | #privacy #data | Public Datasets - Open Data - | Scoop.it

Traditionally, the Open Knowledge Foundation has worked to open non-personal data – things like publicly-funded research papers, government spending data, and so on. Where individual data was a part of some shared dataset, such as a census, great amounts of thought and effort had gone in to ensuring that individual privacy was protected and that the aggregate data released was a shared, communal asset. - See more at: http://blog.okfn.org/2013/08/27/open-data-privacy/#sthash.JoSN7SFm.dpuf


Via Irina Radchenko
luiy's insight:

Both open data and big data are hot topics right now, and at such times it is tempting for organisations to get involved in such topics without necessarily thinking through all the issues. The intersection of big data and open data is somewhat worrying, as the temptation to combine the economic benefits of open data with the current growth potential of big data may lead to privacy concerns being disregarded. Privacy International are right to draw attention to this in their recent article on data for development, but of course other domains are affected too.

Today, we’d like to suggest some terms to help the growing discussion about open data and privacy.

 

Our Data is data with no personal element, and a clear sense of shared ownership. Some examples would be where the buses run in my city, what the government decides to spend my tax money on, how the national census is structured and the aggregate data resulting from it. At the Open Knowledge Foundation, our default position is that our data should be open data – it is a shared asset we can and should all benefit from.

 

My Data is information about me personally, where I am identified in some way, regardless of who collects it. It should not be made open or public by others without my direct permission – but it should be “open” to me (I should have access to data about me in a useable form, and the right to share it myself, however I wish if I choose to do so).

 

Transformed Data is information about individuals, where some effort has been made to anonymise or aggregate the data to remove individually identified elements.

 

- See more at: http://blog.okfn.org/2013/08/27/open-data-privacy/#sthash.nDxKIpCv.dpuf

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#OpenData Tools: Turning Data into ‘Actionable Intelligence’ | #datascience

#OpenData Tools: Turning Data into ‘Actionable Intelligence’ | #datascience | Public Datasets - Open Data - | Scoop.it
My previous two articles were on open access and open data. They conveyed major changes that are underway around the globe in the methods by which scientific an

Via Ivan Begtin, Jay Ratcliff
luiy's insight:

The truth is, many scientists are routinely employed in hacking their own programs to link measuring equipment, data analysis, and visualization together and my best guess is that they would benefit from more end-to-end integrative open source software systems development.

 

While by no means exhaustive, I compiled a list linking to 349 subject specific tools and 123 general tools that are useful for all of this newly available open data. Certainly, some if not all of the tools in this list might have its quality rated according to the eight aforementioned standards.

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The Future is Data | #dataviz #opendata

The Future is Data | #dataviz #opendata | Public Datasets - Open Data - | Scoop.it

At a time when journalism is undergoing a profound crisis as a result of the rise of social networks, financing difficulties, and increasing layoffs in the media industry, the 1st Data Journalism Conference organised by the Spanish chapter of the Open Knowledge Foundation opened up a new direction for the profession; a future that paradoxically goes back to its origins: to the search for new sources, to objective accounts of events and to data analysis.


Via Pierre Tran, Pierre Levy
luiy's insight:

Mar Cabra, an investigative journalist specialising in data journalism and a member of the International Consortium of Investigative Journalists (ICIJ), began her presentation by quoting The Guardian’s motto: “Facts are sacred”. And indeed, there is no room for opinion in data journalism, which simply consists of the facts and the objective information that can be extracted from the data. Cabra mentioned three examples of organisations that work with data – Sunlight Foundation, MySociety and Civio Citizen Foundation – and discussed several examples of journalistic stories put together using data, including:

Tu tasa de paro: “your unemployment rate”, a website that analyses Spain’s official unemployment figures released by the National Institute of Statistics, and calculates the unemployment rate for the profile entered by the user. The idea was inspired by a similar project developed in New York.España en llamas: “Spain in flames”, based on data from the Ministry of Agriculture, this map show all the fires recorded in Spain between 2001 and 2010. A project developed by Civio with the help of crowdfunding.How riot rumours spread on Twitter: a remarkable graphic analysis produced by The Guardian, which shows how a rumour is born and dies. This example studies the rumours spread through Twitter during the 2011 London riots.Dollars for docs: a project by ProPublica, a US-based data journalists association, which analyses the money that pharmaceutical companies give to general practitioners. Essential information that can shed light on why a doctor prescribes a particular drug, what pharmaceutical companies give doctors the most money, and so on.WhoKnowsWho: a project by British TV’s Channel 4 that shows the connections between people in positions of power and reveals the relationships between them.Qué hacen los diputados: a project – that continues to seek funds through crowdfunding – which allows users to keep tabs on what Catalan MPs do in Parliament: what they vote, the proposals they make, and so on.

Mar Cabra (whose presentation, in Spanish, is available here) raised the need for collaboration between journalists and programmers – an observation that would keep coming up throughout the conference. Journalists need somebody to help them tell their story graphically and to analyse the data, and programmers need somebody to find the story hidden among all that data. So how is the data obtained in the first place? Some clues can be found in blogs such as The Guardian Datablog, La Nación Data Blog, Information is beautiful, (Re)Structuring Journalism, Between the spreadsheets and Spreadsheet Journalism.

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Chad Gaffield's curator insight, July 8, 2013 8:29 AM

also could help increase sophistication in big data analysis...

Una Sinnott's curator insight, July 9, 2013 5:34 AM

An interesting look at the current state of data journalism.

Fàtima Galan's curator insight, July 16, 2013 4:31 AM

Great summary about the speakers talk given on the 1st Data Journalism Conference by Mar Cabra, Eva Belmonte, John Burn-Murdoch and Manuel Aristarán.
Through the data analysis today we can speak about Data Journalism, Smart Cities, Open Government. The use and exploitation of any data source, proprietary or external (Open Data or not), shows a change that allows processes for understand what happens and the development of others oriented to the business. The companies are the main interested on the acquisition and exploitation of this data to gain competitive advantage. But they aren’t the only ones able to use this data. Users can also maximize the creation and use of information for the creation and development of politics that allows a better management of our resources and benefits for the citizens.

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What Kind Of #DataScientist Are You? | #datascience

What Kind Of #DataScientist Are You? | #datascience | Public Datasets - Open Data - | Scoop.it
OReilly just surveyed 250 data scientists about their skills and came up with the four types of data scientistand one shocking outside finding.

Via C. CHAMBET-FALQUET
luiy's insight:

So who are these new data scientists?


A Data Businessperson is focused on how data insights can affect a company’s bottom line or “translates P-values into profits”. This group seems very similar to the old-school Data Analyst, whose skills have sometimes been unjustly discounted in the pursuit of the more fashionable Data Scientist. In fact, only about a quarter of this group described themselves as Data Scientists. Nearly a quarter are female, a much higher proportion than the other types, and they are most likely to have an MBA, have managed other employees or started a business.

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Open data for #agriculture | #dataviz #opendata

Open data for #agriculture | #dataviz #opendata | Public Datasets - Open Data - | Scoop.it
Most of the research results published by agricultural researchers are in English journals and as a result useful information is not reaching farmers.
luiy's insight:

o build a bridge between agricultural research and farmers, Philip Parker and his team at INSEAD, a business graduate school with campuses in France, Singapore and Abu Dhabi, is developing Toto Agriculture with partners such as the Bill & Melinda Gates Foundation, Grameen Foundation, Farmer Voice Radio and Farm Radio International. Toto Agriculture is an online collection of localised agriculture-related information such as weather forecasts, soil health, planting tips and pest management. It is an agricultural content engine that uses more than 750 sources of agricultural knowledge to produce on-demand information in as many as 60 different formats.   

 

Most importantly, the combination of structured and unstructured data available in various formats – text, audio, video, calendar, charts and maps – on Toto Agriculture has also been translated into over 100 languages. Farmers, community knowledge and extension workers, rural radio hosts and agricultural call centres can use Toto Agriculture from any desktop computer with an internet connection and extract data for any of the 180 countries represented. It is even possible to filter some data themes by state or province or other smaller entities.

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