Big data, datification, and digitization are among the great themes of the turn of the millennium and certainly one of the areas of greatest future potential. So it is urgently necessary to qualify university researchers capable of dealing with and analyzing massive data sets, and qualifying human resources for the great challenge of a data society. Knowledge of Communication, Statistics, Mathematics and Computer Science are fundamental in the qualification of data scientists who will act in the collection of large amounts of information, processing, analysis and forecasting through the use of tools such as data mining, machine learning, etc. Along the same lines, it is important to provide high-level international agreements in the management and analysis of large-scale data, in order to accelerate the dissemination of the discipline, to intensify the training of human resources in the area and, ultimately, to reduce the learning curve in establishing institutional forms of articulation between the areas of knowledge involved. At UFBA, some research groups have already been developing initiatives with the use of big data, such as the ISC in cooperation with CIDACS, FACOM, in the area of smart cities, digital government and online politics, and, of course, the Departments of Statistics and Computer Science at the Institute of Mathematics, with a large installed capacity in this area. These initiatives need to be expanded to other UFBA research centers, thus intensifying their dimension for qualifying new and future researchers. Moreover, it would be extremely fruitful for the University, the articulation between intermediate areas (such as Computer Science and Statistics) and applied areas (Communication, Government, Health, etc.), which unfortunately have no tradition of cooperation, along with what happens in the international scenario. The institutionalization of this field of knowledge is desirable and strategic for guaranteeing autonomy in the production of information and sovereignty of the country. Without a priori restrictions, but only considering the capacity already installed in UFBA, we present to the CAPES international mobility call, a proposal to develop a line of multidisciplinary and inter-institutional research in Applied Data Sciences for digital communications and health care, which are fields of application in expansion. The theme, however, is clearly expandable and may include many other nuclei and research areas of the University.
To consolidate the multidisciplinary research line in Applied Data Sciences to digital communication .
To carry out study missions to center and laboratories abroad dedicated to Applied Data Science, Epidemiology, Demography, Biostatistics, and Mathematics. To carry out in the area of digital humanities, computational social sciences, and teorethical and methodological issues related to the use of “big data”.
- The United States
- The United Kingdom