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Patterns in Big Data Methods Applications and Implications

The availability of huge amounts of data has revolutionized many sectors of society, enabling engineers to bypass complex modeling steps, scientists to find shortcuts to new knowledge, and businesses to explore novel business mode... ver más

29/02/2020

UNIVERSITY OF BRIS...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITY OF BRISTOL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2020-02-29 No tenemos la información de la convocatoria

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1 Participantes

UNIVERSITY OF BRISTOL

0.00€ | Lider

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Líder del proyecto

UNIVERSITY OF BRISTOL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The availability of huge amounts of data has revolutionized many sectors of society, enabling engineers to bypass complex modeling steps, scientists to find shortcuts to new knowledge, and businesses to explore novel business models. For all its success, this field is still very young, and in need of systematic attention. Both risks and opportunities are very significant at this stage. They can be organized into three interconnected areas, which need to be addressed in a coordinated way: methods, applications and implications. By this we mean the interconnected needs to 1) develop new technology to take advantage of this resource; 2) explore the domains where this technology can make a significant impact; and 3) develop a set of cultural, legal and technical tools to reduce the risks associated with the application of these technologies to science and society. This project is about understanding, exploiting and managing the paradigm shift that is under way. It will address these three areas at the same time, 1) developing new types of algorithms and software architectures to take full advantage of this opportunity; 2) exploring new areas of opportunity for big-data to make an impact, with particular attention to the growing field of computational social sciences; and 3) investigating the ethical and epistemological challenges that arise from the transition towards a data-driven way of running society, business and science. We build on a strong track record in each of these areas. We have secured access to a valuable resource for historians, the collection of all UK newspapers from the past 200 years, which we will analyze with our tools, and we will greatly expand our current work on social media mining, working closely with colleagues from other disciplines. It is our intention to impact the social sciences, the general public and the law makers, besides our field of engineering.

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