EVIDENCE-BASED PUBLIC MANAGEMENT
USE OF MACHINE LEARNING FOR DEFINING STRATEGIES TO PROMOTE INNOVATION
DOI:
https://doi.org/10.48090/ciki.v1i1.905Keywords:
Public Management, Innovation ecosystems, Machine learning, Regression TreeAbstract
Innovation in a territory occurs through several factors and institutional molds, which foster a given region through the convergence of companies, universities and the government. One of the forms of convergence of these actors is the innovation ecosystems, which arise and develop through public policies that can be developed based on scientific evidence. In this study, this evidence was defined by means of a regression tree, applied to data on the creation of technologies produced by permanent professors of Postgraduate Programs (PPG) in the State of Paraná. The results demonstrate that a decision tree can be a tool to support evidence-based public management and the basis of implementation that foster innovation in territories.
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