Call Data Science and Artificial Intelligence in Public Administration will support 15 projects
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
Early detection of public transportation vehicle malfunctions in an operational environment - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC) | Metro do Porto, SA
Modeling and prediction of traffic accidents in the Setubal district - Universidade de Évora (UE) | Setubal Territorial Command of the Guarda Nacional Republicana
IPSTERS - IPSentinel Terrestrial Reconnaissance System - New Technologies Development Institute (UNINOVA/FCTUNL/UNL) | Directorate-General of Territory
Intelligent Water Data System - Instituto Politécnico de Setúbal | Câmara Municipal do Barreiro, Empresa Municipal de Agua e Saneamento de Beja, Infraquinta
Detection of addiction patterns in online gambling - Instituto Superior de Estatística e Gestão de Informação - NOVA Information Management School (NOVA IMS) (NOVA IMS/UNL) | Turismo de Portugal, IP
Modeling the flow of students in the Portuguese education system - FCiências.ID | DGEEC
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)
Using Artificial Intelligence to Power Teledermatologic Screening - Associação Fraunhofer Portugal Research | Administration of the Ministry of Health's Shared Services
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)
Identification and Forecasting of Emergency Hospital Demand - Calouste Gulbenkian Foundation | Administração dos Serviços Partilhados do Ministério da Saúde, E.P.E. (SPMS)
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)
ICDS4IM - Intelligent Decision Support in Intensive Care Medicine - Universidade do Minho (UM) | Centro Hospitalar do Porto (CHP/MS)
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)