Since 2019, the Program has been part of the multidimensional evaluation vision. The Program seeks excellence in the dimensions of (i) teaching and learning, (ii) knowledge production and (iii) innovation and knowledge transfer.
Regarding the teaching and learning dimension, the Program positions itself as its proposal of emphasis in Data Science. It is observed by its list of disciplines offered a differentiated formation in Data Science. It is worth mentioning that it is one thing for a Program to have lines of research in Data Science, it is another thing to establish a Computer Science researcher with an emphasis in Data Science as our Program does in the graduate profile. In particular, when we reach the expected dimension of 20 professors and offer enrollment at the doctoral level, the Program will reach its fullness of excellence in this dimension, according to the planning presented in its 2015 APCN. The program continuously evaluates its list of disciplines against programs of excellence in international Data Science, being able to expand the subjects covered in their disciplines according to the growth of their faculty.
With regard to the production of knowledge, research associated with Data Science has an important duality. At the same time that applied research proposes solutions to real problems, its challenges impose needs that bring contributions to basic research. This character brings a virtuous cycle for the production of knowledge.
Finally, the counterpart of the virtuous cycle, is that the resolution of real problems brings innovation and knowledge transfer directly as by-products. The Program’s planning in this dimension involves the search for public and private entities seeking impact challenges. At the same time, the very dissemination of the Program and its previously achieved results will make the entities themselves seek the Program bringing its challenges. As the Program responds to these challenges, new results of innovation and knowledge transfer will be achieved.
The Program has a vision of growth for a minimum of 20 teachers. Such growth will occur as new professors join the Programs to reinforce and complement data science research. At this time, the Program will be able to break up the Data and Applications Analysis line into (i) Data Analysis and (ii) Systems and Applications. The data analysis line will continue its basic and applied research in Big Data processing and Data and Text Mining. The new line of Systems and Applications will address research in Education, Software Engineering, IoT, Multimedia, Networks and Robotics, all associated with the context of Data Science, both with regard to the management and management of data production and in the analysis of data. data and machine learning in these domains. All of these demands require specific research and researchers in the area of Networks and Software Engineering capable of responding in a systemic way to the demands and challenges of this line.
- Creation of the doctorate from 2022;
- Encourage teachers in order to continuously improve production in restricted strata and the quality of guidelines;
- Reach a student body in order to form two graduates per permanent teacher-year;
- Increase the visibility of the Program;
- Expand the internationalization of the Program;
- Increase the permanent faculty of the Program.
- Consolidate the master’s degree, standing out in the area of Data Science and reaching indicators that enable the creation of the doctorate;
- Improve meetings to accompany the annual planning of teachers in order to identify opportunities for improvement in collaboration, guidance and publication;
- Increase the number of students in the Program. Although we started with a good number of students (15 for 2016, 17 for 2017, 31 for 2018, 24 for 2019), we intend to increase to about 35 the number of students who enter each year;
- a) Regularly organize both national and international events. In 2020, professors Eduardo Ogasawara and Eduardo Bezerra will organize the Regional School of Informatics in Rio de Janeiro and professor Kele Belloze will organize the Brazilian e-Science Workshop;
b) Increase the number of software published in open mode, aiming to expand the transfer of knowledge to industry and the government;
c) Create visibility actions for the Program to attract students and entities from the public and private sectors, aiming at consolidating the Program in the area.
- Professors Eduardo Ogasawara and Eduardo Bezerra will teach and research together at Saint Martin University. On the other hand, Prof. Mario Guimaraes (Saint Martin University) will teach, along with Prof. Joel dos Santos, the Educational Games discipline and its links with Data Science in the Program. This link aims to feed the strategic link of Data Science in Education research in partnership with Saint Martin University. We will also welcome students from the University of Montpellier and Saint Martin University;
- a) In 2020, accredit a permanent professor and three collaborating professors aiming at the growth of the Program;
b) By the middle of the next quadrennial, the Program should incorporate two to four new professors with qualified academic production to compose its staff. These professors will be incorporated according to the accreditation criteria described above and ensuring that the admission of these professors will take place in order to achieve a balance between the three lines of research planned for the Program.