Abstract
Modern science is increasingly interdisciplinary and data intensive. In the area of life sciences, for example, with the emergence of high-performance platforms for image analysis and genomic studies, the bottleneck is not in data acquisition, but rather in its storage, processing, analysis and visualization. This scenario has led to the emergence of a new field of research-eScience-which combines advanced research in computing and mathematical modelling to enable and accelerate research in other fields of knowledge, from the sciences to the humanities and the arts. The eScience involves the so-called "data-oriented computing" (data-intensive computing), with the search for solutions for managing large volumes of data generated by (and for) scientific experiments, for which the scientific breakthrough will not be owned by the "data deluge". This project aims to create a collaborative network of eScience to accelerate advanced research in life sciences (biology, medicine, oceanography) and agricultural sciences. It is structured in five research lines tomo-systems biology, crop planning, visual computing, mathematical modelling and databanks. Within these lines, it will be dealt with questions related to the main components of a research environment in eScience: storage, processing, analysis and visualization of large volumes of scientific data. The main researchers have history of cooperation and coordination of projects in these lines. Interoperability issues permeate the entire project. (AU)
| Articles published in Pesquisa FAPESP Magazine about the research grant: |
| The Voynich manuscript |
| The Voynich manuscript |
| El código Voynich |
| El código Voynich |
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