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Inside Arcology, the City of the Future (Infographic) | #smartcities

Inside Arcology, the City of the Future (Infographic) | #smartcities | dataInnovation | Scoop.it

For over a century, writers and architects have imagined the cities of the future.

 In the late 1960s, architect Paolo Soleri envisioned “arcology” - a word that combines “architecture” and “ecology," with a goal of building structures to house large populations in self-contained environments with a self-sustaining economy and agriculture. “In the three-dimensional city, man defines a human ecology. In it he is a country dweller and metropolitan man in one. By it the inner and the outer are at ‘skin’ distance. He has made the city in his own image. Arcology: the city in the image of man.” (Paolo Soleri)


Via Lauren Moss, luiy
Fàtima Galan's insight:

Amazing and beautiful analysis!! Believe it or not, the science fiction also has something to teach us about the city of tomorrow.

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luiy's curator insight, July 8, 2013 7:42 AM
For over a century, writers and architects have imagined the cities of the future as giant structures that contain entire metropolises. To some, these buildings present the best means for cities to exist in harmony with nature, while others forsee grotesque monstrosities destructive to the human spirit. In the mid-20th century, engineer and futurist R. Buckminster Fuller imagined city-enclosing plastic domes and enormous housing projects resembling nuclear cooling towers. These ideas are impractical but they explore the limits of conventional architectural thinking.  Science fiction writers and artists often imagine future architecture that oppresses the human spirit. Megastructures such as the pyramid-like Tyrell Buildings of “Blade Runner” dominate a decrepit skyline. The decaying old city is simply covered with layers of newer, larger buildings in a process of “retrofitting.” Beginning in the late 1960s, architect Paolo Soleri envisioned a more humane approach. The word “arcology” is a combination of “architecture” and “ecology.” The goal is to build megastructures that would house a population of a million or more people, but in a self-contained environment with its own economy and agriculture. “In the three-dimensional city, man defines a human ecology. In it he is a country dweller and metropolitan man in one. By it the inner and the outer are at ‘skin’ distance. He has made the city in his own image. Arcology: the city in the image of man.” (Paolo Soleri) In 1996, a group of 75 Japanese corporations commissioned Soleri to design the one-kilometer-tall Hyper Bulding, a vertical city for 100,000 people. Existing in harmony with nature, the Hyper Building was designed to recycle waste, produce food in greenhouses, and use the sun’s light and heat for power and climate control.  The structure was designed for passive heating and cooling without the need for machinery. An economic recession put the brakes on the project and it was never built. Soleri’s arcology concept is being put to the test in the Arcosanti experimental community being built in Arizona. Construction began in 1970. When complete the town will house 5,000 people. Buildings are composed of locally produced concrete and are designed to capture sunlight and heat. To be built in the desert near Abu Dhabi, Masdar is a 2.3-square-mile (6 sq km) planned city of 40,000 residents. Buildings are designed to reduce reliance on artificial lighting and air conditioning, and the city will run entirely on solar power and renewable energy. Begun in 2006, the project is planned for completion around 2020-2025.
dataInnovation
Proficient in Information System Design used to the development of Business Intelligence Platforms and Semantic Web Ontologies. With experience in the benefits of the knowledge extraction by integrating LinkedData Technologies and OpenData Sources.
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Who Needs Open Data for the Extractive Industries? | Natural Resource Governance Institute

Fàtima Galan's insight:

"Efforts like the Extractive Industries Transparency Initiative, and more recently disclosure legislation in the US and EU, have increasingly made it a part of "responsible business" for companies and governments to be open and transparent about their financial dealings in oil, gas and mining. However, revealing payment data alone achieves little, especially when it has been locked up in PDFs, or aggregated and anonymized. It runs the risk of further limitations if unaccompanied by openness about the deals that have been signed. Governments and citizens alike need to know what happens to the money after it reaches the country's treasury. Following the money is becoming an important concern in resource-rich countries, to ensure that money from oil, gas and mining is transformed into increased revenues for the government, into open and effective budgeting, and ultimately into sustainable development that benefits all citizens."

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SPARQL City’s Benchmark Results Showcase New Possibilities in Enterprise Graph Analytics - Semanticweb.com

SPARQL City’s Benchmark Results Showcase New Possibilities in Enterprise Graph Analytics - Semanticweb.com | dataInnovation | Scoop.it
Fàtima Galan's insight:

"With the building adoption of new W3C standards, we recognized that an RDF and SPARQL based solution to graph analytics was well matched to the analytic opportunities that were materializing around Big Data and the web, and our pedigree allowed us to build this solution in a way that addressed the needs of the enterprise.”"

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What the UK government can learn from Google autocomplete

What the UK government can learn from Google autocomplete | dataInnovation | Scoop.it
From alien invasions to cleaning up dog poo, here’s what we can learn from what people type into Google
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Metacademy - Level-Up Your Machine Learning

Metacademy - Level-Up Your Machine Learning | dataInnovation | Scoop.it
Metacademy - a free open source platform for efficient, personalized learning.

Via Irina Radchenko
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Data Virtualization for Big Data Analytics | SmartData Collective

Data Virtualization for Big Data Analytics | SmartData Collective | dataInnovation | Scoop.it
Analyzing big data is now an important part of business operations, and it requires significant time and resources to better understand and apply the solutions that big data offers. One developing technology that is greatly simplifying this process is virtualization, specifically data virtualization, which is allowing businesses in increase their value while turning big data analytics into an important enterprise tool.
Fàtima Galan's insight:

"data virtualization is a data integration approach allowing an application to retrieve and manipulate data without needing to know how the data is stored or formatted.......

In essence, data virtualization simplifies the access to the data while also simplifying the appearance of that same data. "

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Don’t Get Snowdened: 5 Questions Every CEO Should Ask Their CIO / CISO

Don’t Get Snowdened: 5 Questions Every CEO Should Ask Their CIO / CISO | dataInnovation | Scoop.it
Today is the 1-year anniversary of the historic Snowden disclosure.  In the year since the first stories about Edward Snowden appeared, one of the lasting affects of the scandal is a heightened awareness of the risk posed by rogue insiders. This increased focus on rogue insiders has spread beyond the
Fàtima Galan's insight:

"Unfortunately, basic search capabilities are ineffective at analyzing petabytes of data to proactively identify different forms of anomalous behavior."

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Rescooped by Fàtima Galan from Public Datasets - Open Data -
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Open #Development Toolkit | #opendata #tools #dataviz

Open #Development Toolkit | #opendata #tools #dataviz | dataInnovation | Scoop.it
Open Development Toolkit

Via luiy
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luiy's curator insight, June 16, 4:53 AM

I want to visualise aid data

I want to understand aid flows into my country / from my country / from a certain donor /globallyI want to find aid data

 

What is ‘open development’?


Open Development sits at the intersection of the ‘open’ movement, and international development. This could take the form of looking at how open data can affect decisions made within international development; open access to research materials; or opening up the ways we work, for example by being more inclusive, to name just a few examples. If you want to find out more about open development, join the Open Development mailing list, where a wide range of topics within Open Development are discussed. It’s open to everyone to join!

 

Rescooped by Fàtima Galan from Sélections de Rondement Carré sur la créativité, l'innovation, l'accompagnement du projet et du changement
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Une «cartographie» des différences dans les cultures de management | Slate

Une «cartographie» des différences dans les cultures de management | Slate | dataInnovation | Scoop.it

Les différences culturelles sont la source de nombreux malentendus dans un cadre professionnel international et multiculturel. Erin Meyer, professeure de management interculturel à l’INSEAD (Fontainebleau), a développé un outil pour visualiser ces malentedus qui peuvent survenir entre des équipes de deux pays différents. La Harvard Business Review publie une version interactive de ces comparaisons internationales.


Via Annie Longeot
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luiy's curator insight, June 13, 5:27 AM

BY ERIN MEYER. To help managers negotiate this complexity I have developed a tool called the Culture Map. It plots culture on eight scales that apply to the most common challenges managers face. By comparing the relative position of one culture to another on each scale, a manager can decode how culture influences day-to-day collaboration. Try the pairs illustrated in this exhibit to see how the map can help. Many other culture pairs are available in my new book The Culture Map. 

 

 

Didier Lebouc's curator insight, June 15, 4:05 AM

Il faut surtout aller voir la carte interactive en ligne sur HBR

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How to Make Government Data Sites Better

How to Make Government Data Sites Better | dataInnovation | Scoop.it
Fàtima Galan's insight:

"

Accessing government data from the source is frustrating. If you've done it, or at least tried to, you know the pain that is oddly formatted files, search that doesn't work, and annotation that tells you nothing about the data in front of you.

The most frustrating part of the process is knowing how useful the data could be if only it were shared more simply. 

"

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Comprehensive list of data science resources

Comprehensive list of data science resources | dataInnovation | Scoop.it
Here we blended together the best of the best resources posted recently on DSC. It would be great to organize them by category, but for now they are organized…
Fàtima Galan's insight:

"best of the best resources"

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Why text analytics is so important in search - Predictive Analytics Times

Why text analytics is so important in search - Predictive Analytics Times | dataInnovation | Scoop.it
Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results don’t always deliver what you’re expecting. Improving the accuracy of search is of utmost importance to companies like …
Fàtima Galan's insight:

Text analytics is crucial for word sense disambiguation. Word sense disambiguation is the process of determining what meaning of a word that has multiple definitions is being used in a sentence.

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Visualizing Categorical Data as Flows with Alluvial Diagrams | #dataviz #methods #tools

Visualizing Categorical Data as Flows with Alluvial Diagrams | #dataviz #methods #tools | dataInnovation | Scoop.it

Via luiy
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luiy's curator insight, June 7, 12:04 PM

Alluvial diagrams are a type of flow diagram that  have traditionally been used to visually show changes in network structures over time. Density Design has included Alluvial Diagrams in their RAW online visualization tool and explored its use to show “relations between dimensions of categorical data.”

 

RAW is such a wonderfully easy tool to use that I wanted to explore the Alluvial diagram functionality with a few different data sets to see how the visualizations would come out.

 

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A brief history of open data - FCW.com

A brief history of open data - FCW.com | dataInnovation | Scoop.it

FCW.com A brief history of open data FCW.com In December 2007, 30 open-data pioneers gathered in Sebastopol, Calif., and penned a set of eight open-government data principles that inaugurated a new era of democratic innovation and economic...


Via Cátedra Libre Open Gov (CLOG)
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W3C Publishes Linked Data Platform Best Practices and Guidelines - Semanticweb.com

W3C Publishes Linked Data Platform Best Practices and Guidelines - Semanticweb.com | dataInnovation | Scoop.it
Fàtima Galan's insight:

"The W3C’s Linked Data Platform (LDP) Working Group has published a document outlining best practices and guidelines for implementing Linked Data Platform servers and clients."

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Ontotext Improves Its RDF Triplestore, GraphDB™ 6.0: Enterprise Resilience, Faster Loading Speeds and Connectors to Full-Text Search Engines Top the List of Enhancements

Ontotext Improves Its RDF Triplestore, GraphDB™ 6.0:  Enterprise Resilience, Faster Loading Speeds and Connectors to Full-Text Search Engines Top the List of Enhancements | dataInnovation | Scoop.it
Sofia, Bulgaria (PRWEB) August 20, 2014 -- Today, Ontotext released GraphDB™ 6.0 including enhancements to the high availability enterprise replication cluster, faster loading speeds, higher update rates and connectors for Lucene, SOLR and Elasticsearch. GraphDB™ 6.0 is the next major release of OWLIM – the triplestore known for its outstanding support for OWL 2 and SPARQL 1.1 that already powers some of the most impressive RDF database showcases.
Fàtima Galan's insight:

"GraphDB™ Connectors allow for integration with search engines and NoSQL databases. "

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Rescooped by Fàtima Galan from Big Data, IoT and other stuffs
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Transporte público de Santiago utilizará sistema de Big Data a través de la red de Entel

Transporte público de Santiago utilizará sistema de Big Data a través de la red de Entel | dataInnovation | Scoop.it
La Subsecretaría de Transportes (Subtrans), Entel y Ericsson firmaron esta semana un acuerdo de colaboración para el desarrollo de herramientas de Big Data que permitan una mejor gestión del transp...

Via Toni Sánchez
Fàtima Galan's insight:

"el trabajo conjunto de Entel, Ericsson y la Subtrans busca identificar cómo la información que generan los usuarios de la empresa de telecomunicaciones al hacer uso de la red en sus desplazamientos, puede ser correctamente manejada e interpretada para que la autoridad tome decisiones para una gestión eficiente del transporte público en Santiago. "

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Machine Learning Books • /r/MachineLearning

Machine Learning Books • /r/MachineLearning | dataInnovation | Scoop.it

Collection of Machine Learning books.


Via Irina Radchenko
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Rescooped by Fàtima Galan from Linked Data and Semantic Web
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Linked data. Connecting and exploiting big dataLinked data


Via Irina Radchenko
Fàtima Galan's insight:

"A functional view on big data"

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Tony Agresta's curator insight, August 26, 1:57 PM

Great ideas on how to collect and exploit linked data.

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Paul Brook: big data can seem scary but it's about being informed – video

Paul Brook: big data can seem scary but it's about being informed – video | dataInnovation | Scoop.it
Paul Brook says that although big data can seem scary, it has tremendous benefits
Fàtima Galan's insight:

"People, leaders or organizations can feel frightening

tremendous benefits and big insights
supporting new business can be the future of tomorrow.
Data is everywhere."

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Rescooped by Fàtima Galan from The Programmable City
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Big data: how predictive analytics is taking over the public sector in Australia | Guardian

Big data: how predictive analytics is taking over the public sector in Australia | Guardian | dataInnovation | Scoop.it
From predicting emergency department admissions to identifying tax fraud, the Australian public sector is putting its mountains of data to work

Via Rob Kitchin
Fàtima Galan's insight:

"“People like working in a system that is proactive rather than reactive. When we are expecting a patient load everyone knows what their jobs, and you are more efficient with your time.”"

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Rescooped by Fàtima Galan from Big Data & Digital Marketing
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The Hidden Biases in Big Data

The Hidden Biases in Big Data | dataInnovation | Scoop.it
Blindly trusting it can lead you to the wrong conclusions.

Via Luca Naso
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Luca Naso's curator insight, June 13, 8:11 AM

Big Data can be extremely dangerous without a Big Brain to analyse them properly.


Huge data sets ALWAYS contain some relations: some of them are right (causation), others are simply wrong. It pertains to data analysis to uncover the truth.

 

"As we move into an era in which personal devices are seen as proxies for public needs, we run the risk that already existing inequities will be further entrenched.

[...]

This goes beyond merely conducting focus groups to confirm what you already want to see in a big data set. It means complementing data sources with rigorous qualitative research."

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This map reveals exactly where Silicon Valley gets its talent | #mexico #TechImmigrants #dataviz

This map reveals exactly where Silicon Valley gets its talent | #mexico #TechImmigrants #dataviz | dataInnovation | Scoop.it

Above: Tech Immigrants: A Map of Silicon Valley's Imported Talent

Image Credit: Graphic by Bloomberg Businessweek


Via luiy
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luiy's curator insight, June 8, 5:54 AM

Where does Silicon Valley’s talent come from? This incredibly detailed map tells all.

 

The visualization, made by Bloomberg Businessweek, shows the top 100 sources of “imported talent,” from both U.S. states and foreign countries.

 

According to Bloomberg, “Asian Americans became the majority of the tech workforce in the Valley” in 2010; and one third of Valley startups “are founded by Indian Americans.” In addition, Mexico, Texas, and Arizona rank among the top ten sources of Silicon Valley talent, Bloomberg claims.

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Building better search tools: problems and solutions

Building better search tools: problems and solutions | dataInnovation | Scoop.it
Have you ever done a Google search for mining data? It returns the same results as for data mining. Yet these are two very different keywords: mining data usua…
Fàtima Galan's insight:

"Have you ever done a Google search for mining data? It returns the same results as for data mining. Yet these are two very different keywords: mining data usually means data about mining. And if you search for data about mining you still get the same results anyway."

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Data Science and Prediction

Data Science and Prediction | dataInnovation | Scoop.it

 

Big data promises automated actionable knowledge creation and predictive models for use by both humans and computers.

Via Irina Radchenko
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Rescooped by Fàtima Galan from Open Knowledge
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European MOOCs Scoreboard

European MOOCs Scoreboard | dataInnovation | Scoop.it

The aim of this scoreboard is to highlight the huge potential that European institutions have in the world of MOOCs and to help visualize this potential by compiling the existing European-provided MOOCs available on different open websites. 


Via Irina Radchenko
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luiy's curator insight, June 8, 2:21 PM

How we created our MOOC database

 

When we first started preparing to launch Open Education Europa, we attempted to make contact with every higher education institution in Europe, asking to whether or not they offered any MOOCs or other open educational resources. Hundreds of institutions answered us, and with the information they provided we started populating our database. Then we went to the websites of the institutions who had not responded and searched for publicly available MOOCs, which we also added to the database. Finally, we cross-checked with other MOOC providers and aggregators such as iversity and OpenupEd.

 

Updating the scoreboard

 

On an ongoing basis, we monitor for new MOOCs by using Google alerts, RSS feeds, and manual searches. The institutions we have contact with update us when they have new courses. We also check the MOOC providers and aggregators every month to see what’s new. As soon as we find a new MOOC online, we add it to our database. That means that some MOOCs are counted in the scoreboard before the start date of the course.

 

By the way, if you happen to know about a secret stash of MOOCs that aren’t included in our database, please tip us off!