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AzDIH
About the Project
Azores Digital Innovation Hub on Tourism and Sustainability
Acronym
AzDIH
Responsible
António Luís Sousa
Status
active
Starting Date
January 1, 2023
Ending Date
January 31, 2025
Effective End Date
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Global Budget
€3,244,577.05
Funding
€303,880.00
Website
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Datasheet
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Associated Centres
Artificial Intelligence and Decision Support
Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.
High-Assurance Software
At the High-Assurance Software Laboratory (HASLab), we improve practice through theory, creating and implementing software that goes beyond mere functionality: we ensure it is correct, resilient, and secure against failures and attacks. Our team of researchers, scientists, and engineers has proven expertise in software engineering, developing methods and tools to design and integrate robust software; in distributed systems, exploring distribution and replication to ensure scalability and reliability; and in information security, addressing cybersecurity challenges and improving systems with advanced, secure cryptographic protocols, thus minimising vulnerabilities. With a multidisciplinary approach supported by solid theoretical principles, we develop innovative solutions for critical software, secure cloud infrastructures, and privacy-aware big data management, driving scientific advancement, innovation, and high-level consultancy. In addition, we complement our core expertise with work in human-computer interaction, programming languages, computational mathematics, and quantum computing - because we believe the future of trustworthy software is built on knowledge and innovation.
Human-Centered Computing and Information Science
The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.
