The final result of Call Projects of Scientific Research and Technological Development in Data Science and Artificial Intelligence in Public Administration - 2018 has been announced. The 15 approved projects involve partnerships between R&D Units and Public Administration entities, in topics such as health, public transport, water resource management or the use of data from the European Space Agency's IPSentinel system. Altogether, the projects represent an investment of nearly 4 million euros over three years.
The selected projects are presented in a public session taking place this Wednesday, October 24, in the Main Hall of the National Statistics Institute in Lisbon. The event will be attended by the Minister of the Presidency and Administrative Modernization, Maria Manuel Leitão Marques, and the Minister of Science, Technology and Higher Education, Manuel Heitor.
This initiative is integrated in the Program on Data Science and Artificial Intelligence in Public Administration, in the Innovation Roadmap and in axis 5 (research) of INCoDe.2030, developed by the Ministry of the Presidency and Administrative Modernization and the Ministry of Science, Technology and Higher Education. The Call aims to find innovative ways to relate data, find patterns, anticipate failures and optimize processes in the Public Administration, in an optimization that aims to benefit the whole society.
See the presentations of the 15 selected projects:
iLU: Advanced Learning on Urban Data with Situational Context for Optimizing Mobility in Cities - Institute for Systems Engineering and Computers, Research and Development in Lisbon (INESC ID/INESC/IST/ULisboa) | CM Lisbon
Understanding the determinants of academic performance: evidence from the Portuguese secondary education system - Instituto Superior de Estatística e Gestão de Informação - NOVA Information Management School (NOVA IMS) (NOVA IMS/UNL) | DGEEC
EPISA-Inference of Entities and Properties for Semantic Archives - Inesc Tec - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC) | General Directorate of Books, Archives and Libraries (DGLAB)
Neuroimaging biomarkers for the diagnosis of neuropsychiatric diseases, using artificial intelligence - FCiências.ID | HFF (Fernando da Fonseca Hospital), HSOG (Senhora da Oliveira Hospital, Guimarães), CHLN (Lisboa Norte Hospital Center) and SPMS (Shared Services of the Ministry of Health)
Data2Help: Data Science for Optimizing Emergency Medical Services - Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC ID/INESC/IST/ULisboa) | Instituto Nacional de Emergência Médica (INEM)
Predicting the risk of surgical treatment complications and defining prognosis in cancer patients through the integration of clinical and biopathological data - Instituto de Engenharia Mecânica (IDMEC) | Instituto Português de Oncologia do Porto Francisco Gentil, EPE
(updated January 28, 2019)