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Aboutus

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Connect with our 40+ researchers in Management and Data science. Explore the opportunities for research collaborations, business innovation and media inquiries.

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MagIC is a dynamic research center dedicated to advancing the field of Information Management through an interdisciplinary approach that combines Management and Data Science. Our goal is to develop innovative solutions and tools to enhance decision-making and benefit individuals, organizations, and society as a whole.

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  • IMG 6206

    MagIC’s Contributions Recognized at NOVA Science & Innovation Day 2024

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    NOVA IMS drives national Research Data Management initiatives

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  • NOV 1920X1000 GEOJO Meeting

    GEOJO Project launches at NOVA IMS

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  • NOVA Pequeno

    NOVA Science & Innovation Day

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  • Pecas Digital CARD EVENTOS

    Data Research Meetup by MagIC

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  • Filosofia Cardeventos 860X430

    2nd  Portuguese Symposium on Philosophy and Artificial Intelligence

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  • ENG AI4IA Final Header Eventos 1920X100 ENG

    Artificial Intelligence for Impact Assessment Project (AI4IA) – Presentation of the Final Results

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Key impact areas

Health
Smart Cities
Sustainability
Tourism and Hospitality
Education
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Our data-driven approaches improve diagnostic accuracy, personalize treatment strategies, and enhance patient care across medical domains. We develop innovative solutions for managing chronic diseases, predicting mortality, and contributing to mobile health, electronic health portals, and video consultations.
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Our research analyses complex combinations of large datasets in areas of public interest, namely Micromobility, Parking, Pollution, and Emergency. We have developed a pilot-scale digital smart city platform for urban modelling and planning, and an IoT-based system to facilitate Pay-As-You-Throw and recycling reward schemes.
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Our research deepens the understanding of sustainable technologies and energy communities, developing strategies and toolkits for emerging ST and energy communities and solutions for improving the quality of life in urban environments. We promote energy citizenship, allowing citizens to take control of their path to sustainability.
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Our research uses Data Science to analyse trends in hospitality and tourism, exploring social influence, technology within sharing economy platforms, and customer acceptance of AI-based services. We address the challenges and opportunities in an increasingly digital landscape.
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Our research sheds light on the most important antecedents and outcomes of e-learning technologies and identifies the main drivers and barriers for academic achievement in high schools. We develop innovative data-driven approaches, apply machine learning techniques for timely prediction of student performance, and conduct exploratory analyses of higher education census data. We also contribute to the area of education by finding the main determinants of e-learning systems' success.