Project List

Adopting digitalization, innovation, and new technologies in the tourism sector is contingent upon smart tourism tools (STTs) availability. Such tools can facilitate the optimization of efficiency and sustainability in tourism operations. Moreover, awareness of past initiatives in smart tourism may catalyze the aforementioned uptake. The objective of the EUROSTIT project is to develop a comprehensive observatory that will provide a broad overview of the various Smart Tourism Tools and Initiatives currently available in Europe. A set of published catalogs was employed as a source of bootstrap content for a prototype version within the context of the European RESETTING project, which preceded this project proposal. The prototype is deficient in advanced, user-friendly search functionality and content classification. The plethora of technological solutions, coupled with the wealth of past experiences and lessons learned, necessitates a meticulous and methodical approach to identifying the optimal technological solutions and the underlying principles that must be adhered to to achieve the desired outcomes. A validated taxonomy, developed within the scope of RESETTING, will be employed to classify all European STTs identified. The EUROSTIT Observatory will constitute an independent entity associated with the ISTAR-IUL research unit, focusing on issues and challenges pertaining to the digital transformation of tourism, a sector with a significant impact on Portugal's balance of payments. The EUROSTIT team will critically examine the smart tourism ecosystem, thereby advancing scientific knowledge and transferring it to society. Furthermore, it will contribute to the definition of research methodologies, the formulation and evaluation of policies for promoting sustainable tourism (in terms of the environment, society, and the economy), and the provision of analysis and advice. The project is comprised of four interrelated tasks. The initial task entails the construction of ...

This challenge arose directly from conversations prior to the opening of the competition, between a group of Iscte teachers (under the aegis of the IA>AP Competence Center, https://iaap.iscte-iul.pt) and members of the PlanApp board. Among the tasks that were considered interesting for exploring and testing possibilities, the following stood out (in the area of AI / Data Science): 1. Analysis of topics from the outputs of the “Building Bridges” workshops 2. Extraction, processing and analysis of inequality monitoring indicators 3. Extraction of fields in public policy planning documents 4. Analysis of demographic indicators Task 1 aims to test the possibilities of semi-automatic processing of conference output in order to reduce processing time and/or flag up particularly relevant parts for the PlanApp of the documents resulting from the “Science and Public Policy Workshops: How to build bridges?”. In these workshops, participants are invited to write short texts with proposals, difficulties and challenges related to the interaction between academia and public policy, but the manual processing of this amount of text is demanding in terms of reading time for the organizers, and a semi-automatic processing is beneficial, which can not only highlight the most addressed topics, but also point out the most relevant parts (or those that address more original topics). The aim of Task 2 is to help with the implementation of the Inequalities Report, where PlanAPP has developed quantitative (description and simulation) and qualitative analyses of various dimensions of inequality. One of the main difficulties in this process is the continuous need to merge information from different sources. The aim of this task is to map the various sources and organize the process of merging and cleaning data, which will allow for a more stable analysis of these indicators. Task 3 is a task of structuring semi-structured documents. Public policy planning documents are usually semi-structu...

Nowadays, digital health devices play an active role in our healthcare and even let us cooperate with our physicians to improve our health, preventing health deterioration and real-time response to decrease health costs and increase general health quality for individuals. Patients can have greater access to specialized care if equipped with sensing devices that effectively monitor health status and acknowledge alterations or abnormal events. More and more people are effectively using digital health devices, many of which are classified as medical devices (according to the European Union Regulation (EU) 2017/745 and Regulation (EU) 2017/746), equipped with or sending data to AI systems. Shortly, most clinicians, including speciality doctors, paramedics, and nursing staff, will be using some AI technology. These digitally empowered healthcare solutions provide accelerated case detection, constant surveillance, access, and advanced decision-making while improving the quality of services and personalizing health.However, for digital health technology to be effective, reusable, and universal, not only are there insufficient standards yet that allow for the validation of many of these services but also the digital connection with the medical aid and AI processing of health-related data is lacking standardization. While digital health can be underpinned via common standards (like HL7 FHIR) to facilitate communication between devices and systems, we also need standards allowing for the establishment of uniform, transparent, and trustworthy AI processes to be performed on health data, ensuring the compliance of those processes with the existent regulatory framework, well-established Data Privacy safeguards and AI Act compliance. Personal health devices can positively change individual patient outcomes and help make progress in reducing health disparity. However, the data you collect from the devices needs to work with other devices, apps, and platform to communicate with pla...

OVER-SEES is a multi-stakeholder consortium gathering four diverse EU insular territories (The Azores, Portugal; West Region, Ireland; Aegean Islands, Greece; Sicily, Italy) to establish a model of VET excellence in EU islands to accelerate Smart Specialization (S3) activities associated with the twin transition.

This study seeks to examine the representations of individuals from the portuguese working class regarding post-productivist logics of social protection, at the Welfare-state level, considering the impacts of the automation of productive processes in Portugal, being estimated a net job loss of 300.000 jobs until 2030 in a cenario of 50% of the automation potential (Duarte et al, 2019, p. 19). Part of the labour force characterized by lower qualifications, relative advanced age and integration in the sectors with the highest automation potential (industry, retail and public administration) may find themselves in a vulnerable situation, namely in a context of active labour market policies (PAE). It becomes relevant to understand in close connection with working class people what they think relative to post productivist forms of social protection, focusing on three public policy propositions: 1) Participation Income (Atkinson, 1996, pp. 68-69), 2) Job Guarantee (Tcherneva, 2020) and 3) Basic Income. Supervisor: Renato Miguel do Carmo