Presentation

  • Monday, 22 September 2014 08:56

Presentation

 

The MagIC team is structured around four research streams (RS) that support the alignment and collaboration between researchers: Geoinformatics, Data Science, Information Systems and Marketing.

 about-us

MagIC (Information Management Research Center) is focused on using information to develop individuals, and also improve organizations and society, in general. The principal objective is to contribute to the advance of the Information Management and Data Science fields. We are committed to improving information usage and reliability, while developing tools and methods to promote data-driven decision-making.

Our contributions lie in finding ways to use information management and data science to improve productivity and sustainability through more informed decisions, through data-driven decisions and fact-based decision-making. It is clear that the ability of technology to capture and store data has not yet been matched by its ability to transform data into actionable and relevant information. We live in a data rich environment, but the tools to make sense of all that data are still somewhat limited. Moreover, the dawn of big data will only make this problem/opportunity more apparent, while presenting new and harder challenges. Recent developments have produced significant enthusiasm about how the meeting between big datasets and very powerful computers will change this state of affairs. MagIC researchers share the enthusiasm for this new and exciting field and are committed to helping shape information-rich environments, as a transformative force for positive change in science and business. The ability to find insights into our data-intensive society translates into groundbreaking and smart solutions for pressing societal challenges.

As a research group we are interested in the study of information, and the interaction of humans and organizations with information. MagIC has developed a wide range of expertise, with local and international partners that bring complementary know-how to our core competencies. We also seek to help develop a specialized workforce, which can support organizations making the most of their data and information resources. Through our research we aim to inspire young talents to pursue a research career and become the leading data scientists and researchers of tomorrow.

Isabel
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