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People’s needs first

Marco Bressan

By Marco Bressan, chief data scientist, BBVA.

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Smart Cities, Big Data and Behavioural and Social Sciences: Human Cities

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By Manuel Armayones, associate professor and Deputy Director, Faculty of Psychology and Education Sciences, UOC.

In 1995, the American Psychology Association (APA), through its Task Force for the analysis of the concept Intelligence, considered it as the ability to “understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought”.

The question we must ask when relating this concept to that of smart cities and big data & analytics is if asking the right questions of data, so that they assist us in making decisions, can help us to better adapt to the environment, learn from experience and engage in various forms of reasoning.

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Data donation for the advancement of health research

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By María Binaghi, head of science programs & content manager, DataDonors.

What if all the health information we generate online was available for scientists to get relevant knowledge from it? That is the starting point of DataDonors, a campaign by The Wikilife Foundation (non-profit), which is asking volunteers to donate their online data so that researchers can produce faster knowledge on health issues. In this short video, its responsible for science programs, María Binaghi, shares with us some reflections regarding the main question of this blog. This contribution was possible thanks to the kind collaboration of the OuiShare Fest Barcelona event.

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About the Question
Are Big Data & Analytics shaping a smarter society?

Every day we generate a huge amount of big data, but we need to resort to analytics to make abstract information meaningful and get valuable knowledge from it. In education, learning platforms let us easily gather an immense quantity of data regarding students’ behaviour, interactions, preferences and opinions. When properly analysed — through learning analytics — all these data might provide useful insight on how to make learning processes more adaptive, attractive and efficient.

Are these techniques allowing us to provide better support to our students? Are we taking advantage of big data and analytics to help shape the citizens of the future?

Big Data and Simheuristics
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