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.
"The topographical "maps" of these communities, generated by Pew using the data visualization tool NodeXL, aren’t just maps of relationships. They represent the channels of information in Twitter’s vast ecosystem, the roads and throughways, stoops and street corners in each topical neighborhood where users congregate and swap news and anecdotes."
The open source movement can trace its beginnings to a famous strategy session held in Palo Alto, CA in February 1998, where the term "open source" was coined. That meeting led to the Open Source Definition, to advocacy for the use of open source software, and, fairly quickly, to worldwide recognition of open source principles.
Digitization, automation, and other advances are transforming industries, labor markets, and the global economy. In this interview, MIT’s Andrew McAfee and McKinsey’s James Manyika discuss how executives and policy makers can respond.
Fàtima Galan's insight:
"Find a part of your organization that’s led by somebody who’s a little bit more comfortable working with data, who’s got a team of geeks that are part of her team, and do an experiment about becoming more data driven in forecasting, in market analysis, in product design, in human-capital management, in some of these areas. Do an experiment. It’s not going to ruin the company. It’s not going to break the bank. And then learn from it."
Data provides the evidence for the published body of scientific knowledge, which is the foundation for all scientific progress. The more data is made openly available in a useful manner, the greater the level of transparency and reproducibility and hence the more efficient the scientific process becomes, to the benefit of society. This viewpoint is becoming mainstream among many funders, publishers, scientists, and other stakeholders in research, but barriers to achieving widespread publication of open data remain. The Open Data in Science working group at the Open Knowledge Foundation is a community that works to develop tools, applications, datasets, and guidelines to promote the open sharing of scientific data. This article focuses on the Open Knowledge Definition and the Panton Principles for Open Data in Science. We also discuss some of the tools the group has developed to facilitate the generation and use of open data and the potential uses that we hope will encourage further movement towards an open scientific knowledge commons.
The biggest stories about open data this year? Countries signing on to the Extractive Industries Transparency Initiative (EITI), the G8 Open Data Charter, President Barack Obama's Executive Order and global ODI.
"Sobre el concepto de “Ciudades Inteligentes” aun no existe consenso. Aunque se menciona como características comunes a ellas el uso de sistemas tecnológicos cada vez más eficientes y una población mejor informada y conectada. A lo anterior se suma un mayor nivel de conciencia por el entorno y la posibilidad de asegurar adecuados niveles de calidad de vida para sus habitantes, conceptos que bajo la coyuntura económica actual, se asocian con la provisión de trabajo, servicios y bienes de consumo."
"(Public) data sets come in any format and OpenDataSoft is capable of reading any data format as well as understand any data type. Using metadata is makes the data findable and reusable, it can add filters for data that for example should not be published or it can enrich the records."
Un matemático andaluz desconocido es el mejor científico de datos del mundo José Antonio Guerrero es un desconocido más allá de los círculos especializados, pero se ha convertido en un maestro mundial en el arte de la ciencia de datos...
Organizations synthesize search, social and sensor data streams into insights that guide smarter actions. What is Collective Intelligence?
Collective intelligence involves analyzing the collective actions and feedback of people, finding patterns and trends, and sharing it back to aid understanding and guide action. Organizations, artists and changemakers are using collective intelligence to analyze opinions and behaviors, identify patterns and trends, and recommend actions or inspire change.
The rise of collective intelligence can be attributed to three broad trends. First, people are sharing immense amounts of location-based, personalized data online, both implicitly by searching, clicking or buying and explicitly by creating profiles, posting status updates, and checking in to locations and events. Second, people are beginning to use sensor-based devices to track and share real world data about our bodies (quantified self) and our devices, houses, and environments (internet of things). Third, web platforms like Google, Facebook, Twitter and LinkedIn are anonymizing and aggregating this data, mining collective intelligence from it themselves, and also making it available for third-party applications via robust APIs.
"Third, web platforms like Google, Facebook, Twitter and LinkedIn are anonymizing and aggregating this data, mining collective intelligence from it themselves, and also making it available for third-party applications via robust APIs.
Entrepreneurs and changemakers are creating niche platforms to mine social and search data to improve traffic conditions (Waze (video)), optimize energy consumption (Opower (video)), and aggregate health data to predict outbreak of diseases (Sickweather (video), Flu Near You (video), HealthMap (video)) and even explore effective cures (Patients Like Me (video),NextBio (video)).
"Paul Baran, predicted the rise of a centralized “computer utility” that would offer computing much the same way that power companies provide electricity. Today, that model is largely embodied by the information empires of Amazon, Google, and other cloud-computing companies. Like Baran anticipated, they offer us convenience at the expense of privacy."