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Organizational Guidelines for Embrapa Advanced Quantitative Methods and Scientific Computing Area

This study aimed to define organizational guidelines on advanced 
quantitative methods and scientific computing (QMSC) for the Brazilian 
Agricultural Research Corporation (Embrapa), a public institution under the 
Brazilian Ministry of Agriculture, Livestock and Food Supply (MAPA). The study 
was based on a strategic and systemic perspective to support the strengthening of 
governance of the area of research, development and innovation (RD&I) at 
Embrapa. This exploratory qualitative study was conducted in two phases. In the 
first phase, a benchmarking study of organizational model restructuring, 
especially in areas of QMSC, was carried out in Brazilian and international 
RD&I institutions. The second phase included an analytical and critical 
study on the general panorama of QMSC research. Both phases supported the 
generation of the final result of this 
study, which was the formulation of a proposal for organizational guidelines 
for the QMSC area at Embrapa. The study presented the following main results: 
1) there is no similarity between the institutions surveyed in the benchmarking 
and Embrapa, either in terms of the scope of institutional performance, or in 
relation to the interests focused on organizational innovation in the QMSC area; 
2) quantitative methods and scientific computing as areas of expertise and 
knowledge are widely spread in Brazil, especially at Embrapa, however we did 
not find equivalence and/or similarity with organizational structure of 
international institutions. The study highlights the need to expand the scope 
of the QMSC area at Embrapa, due to the emergence of new fields of activity and 
new lines of research, for example Data Science. The study recommends Embrapa 
to prioritize Data Science as a strategic line of research to achieve its 
results, through research data use and reuse engineering, in order to generate 
new information and knowledge for decision-making and/or public policy 
formulation and management.