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I.A. Research. Public Administration.

This year, the Foundation for Science and Technology launched a Call scientific projects to be developed in conjunction with the Public Administration under axis 5 (research) of the INCoDe.2030 Initiative. The selected proposals will be presented on October 24, at an event to be held at the National Statistics Institute starting at 10:00 a.m. The project presentation session 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.

Scientific and technological advances in the field of data science and artificial intelligence make it possible to link data, find patterns, anticipate failures, and optimize processes. The projects presented bring together scientific entities and public administration entities so that, together, they can use the available data, which often contains information that is not always obvious and can be used to benefit citizens. The aim is to provide a better service to society, whether in health, education, culture, mobility, or land management.

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Program

 

10:00 a.m.

Opening

 

Francisco Lima, President of INE

 

Paulo Ferrão, Chairman of the Board of Directors of FCT

 

Pedro Guedes de Oliveira, Coordinator of INCoDe.2030

 

Maria Manuel Leitão Marques, Minister of the Presidency and Administrative Modernization

 

 

10:30 a.m.

Presentation of FCT projects “Artificial Intelligence and Data Science in Public Administration” 2018

 

iLU: Advanced Learning in Urban Data with Situational Context for Optimizing Mobility in Cities             
Institute for Systems and Computer Engineering, Research and Development in Lisbon (INESC ID/INESC/IST/ULisboa) | CM Lisbon          

 

Early detection of public transport vehicle malfunctions in an operational environment

Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) | Metro do Porto, SA

 

Modeling and prediction of traffic accidents in the district of Setúbal

University of Évora (UE) | Setúbal Territorial Command of the National Republican Guard

 

IPSTERS – IPSentinel Ground Recognition System    

Institute for the Development of New Technologies (UNINOVA/FCTUNL/UNL) | Directorate-General for Territory        

 

Intelligent Water Data System  

Setúbal Polytechnic Institute | Barreiro City Council, Beja Municipal Water and Sanitation Company,Infraquinta

 

Detection of cheating patterns in online gaming   
Higher Institute of Statistics and Information Management – NOVA Information Management School (NOVA IMS) (NOVA IMS/UNL) | Turismo de Portugal, IP

 

Modeling student flow in the Portuguese education system
FCiências.ID | DGEEC

 

Understanding the determinants of academic performance: evidence from the Portuguese secondary education system   
Higher Institute of Statistics and Information Management – NOVA Information Management School (NOVA IMS) (NOVA IMS/UNL) | DGEEC

 

EPISA—Inference of Entities and Properties for Semantic Archives          

Inesc Tec – Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) | Directorate-General for Books, Archives, and Libraries (DGLAB)

 

Interval

 

Use of Artificial Intelligence to enhance Teledermatological Screening
Fraunhofer Portugal Research Association | Shared Services Administration of the Ministry of Health

 

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 (Lisbon North Hospital Center), and SPMS (Shared Services of the Ministry of Health)

 

Identification and Forecasting of Hospital Emergency Demand  

Calouste Gulbenkian Foundation | Shared Services Administration of the Ministry of Health, E.P.E. (SPMS)

 

Data2Help: Data Science for Optimizing Emergency Medical Services

Institute for Systems and Computer Engineering, Research and Development in Lisbon (INESC ID/INESC/IST/ULisboa) | National Institute of Medical Emergency (INEM)

 

ICDS4IM – Intelligent Clinical Decision Support in Intensive Care Medicine  
University of Minho (UM) | Porto Hospital Center (CHP/MS)

 

Predicting the risk of complications from surgical treatment and determining the prognosis in cancer patients by integrating clinical and pathological data

Institute of Mechanical Engineering (IDMEC) | Portuguese Institute of Oncology of Porto Francisco Gentil, EPE

 

 

1:00 p.m.

Closure

 

Alípio Jorge, Towards a Portuguese strategy for artificial intelligence

 

Manuel Heitor, Minister of Science, Technology, and Higher Education

 

 

Lunch and informal discussion

 

 

 

 

 

 

(updated January 28, 2019)