xShare envisions everyone sharing their health data in EEHRxF with a click-of-a-button. The xShare button to be featured across health portals and patient apps and allow people to exercise their data portability rights under GDPR. Hence, the European EHRxF will be the driver for research and innovation in EHDS. xShare will establish the European EHRxF Standards and Policy Hub, the “Hub” partnership of six standards developing organizations (CEN/TC251, HL7 Europe, IHE Europe, SNOMED, CDISC, IEEE) market actors (DIGITAL Europe, MedTech-Europe and EUCROF), supported by competence centers, nationals and regional authorities and European SMEs. xShare will develop: 1) Harmonized common specifications, create and maintain xBundles i.e., collection of common data specifications including FHIR implementation guides, tools and data sets, and educational support for key EHRxF health information domains as noted in the EHDS draft regulation Annex 1. 2) A set of common elements across EHRxF health information domains applicable across EHDS-1 (Xt-EHR), public/population health (EHDS-2), and clinical research. 3) Extended harmonized IPS specification to include care plans and making it fit for the purpose of clinical research use cases i.e. clinical trial eligibility, real world data, patient reported outcomes, and returning clinical research data to patients. 4) xShare feature the xShare Button in 8 adoption settings in Hospital network (Italy), National portal (Greece, Ireland, Cyprus), regional network with emphasis in medical tourism and the connection of the public to the private sector (Catalunya and Madeira), entry of digital health applications to the myHealthSpace ecosystem in France. Care plans will be demonstrated in Denmark. xShare investigate the feasibility and value of the EU xShare Industry label as a vehicle towards implementing the draft EHDS regulation. Lastly open calls at the last year of the project aim to onboard with EHRxF almost 100 settings across Eu...

AMR-EDUCare, EduCation on Antimicrobial REsistance for the health workforce, targets the prevention and reduction of antimicrobial resistance (AMR)’s health burden by filling educational gaps on AMR for both clinical and non-clinical health workforce. Southern and Eastern European countries, where the incidence of AMR is highest, are also those where there is a particular deficit in training on AMR prevention. For this reason, the project will target countries in these geographical areas. Through a nimble and relevant educational programme targeting four audiences - doctors, nurses, community pharmacists and health management professionals - the project will equip the health workforce with the necessary knowledge and skills to address AMR in the areas of prescription, waste management and patient empowerment. The training modules developed and delivered will adopt a strong focus on behavioural change and digital health skills for a more resilient and sustainable healthcare sector that improves the patient experience and delivers better health outcomes.

Nepalese Education in E-health - Master (NEEM) targets the shortage of specialists in health information systems in Nepal through establishing two master programmes at Kathmandu University and Pokhara University. Each programme will admit 10 students the first year and expand to 20 over a two years period. The programmes will include a lab where research students will collaborate with the Ministry of Health and other Nepalese organisations on health information systems in Nepal and which be developed into a model for the Provincial Health Information Hubs envisaged by the MoH. The labs will also be used for in-service training of health personnel. The European partners University of Oslo (UiO) and The University Institute of Lisbon have long experience in working with partners in LMICs and Europe on eHealth. The University of Oslo is also involved in projects for course development with partners in India and Africa, and course material developed in these projects will be used as a basis and adapted for Kathmandu and Pokhara universities. Eight lecturers from the Nepalese partners will be funded by the project for PhD education; one at UiO and seven at Indian universities which UiO collaborates with in academic projects in the health information systems area. Eight master students will do exchange visits between Nepal and Europe, and scholarships will be awarded to four female master students in Nepal. Expected impacts are that the master programmes will continue running after project funding ceases, that Kathmandu and Pokhara universities attract collaborative projects in Nepal and internationally, and that master programme graduates gain skills which are useful in their work.

XpanDH is a CSA aiming at mobilizing and building capacity in individuals and organisations to create, adapt and explore purposeful use of interoperable digital health solutions based on a shared adoption of the European Electronic Health Records Exchange format (EEHRxF) across Europe. This pan-European effort will use a “network-of-networks” approach ensuring that digital health actors are motivated and supported by tailored guidance and real examples to help early adopters to advance to the concrete use of EEHRxF embedded digital health solutions to add value to health and care and promote Personal and European Health Data Spaces. XpanDH pursues the main goal of maturing and accelerating a sustainable and scalable interoperability environment for digital health innovations based on the EEHRxF, around 5 Goals: 1) To develop robust technical specifications and resources for the EEHRxF building; 2) To establish the X-Bundle Readiness model; 3) To verify the usefulness of the X-Bundle in real-world with a set of early adopters grouped under selected adoption domains; 4) To mature a pan-European digital health ecosystem of solution providers and end-users, 5) To develop a framework for sustainable ecosystem. The consortium will thrive on past and ongoing eHealth interoperability projects and services, and particularly on the X-eHealth and DigitalHealthEurope projects recommendations, through digital health data activism and strong patient engagement. It brings together 26 Digital Health Actors under a co-creation and co-implementation concept, supported by a Policy Board (linking to Governments and the eHealth Network). To expand its impact, 10 XpandDH networks of hundreds of health stakeholders will be nurtured to form a vibrant pan-European (Digital) Health space converging on common, usable, and reliable tools for real interoperable services that adoption of the EEHRxF and enhance healthcare cooperation for better health towards a European Health Union.

AI4PA Portugal's strategic objectives and action plan are clearly aligned with the main focus areas of the Digital Transition Action Plan:    Pillar I - Empowerment and digital inclusion of people    Pillar II - Digital transformation of the business fabric    Pillar III - Digitalisation of the State    The Centre's activity will pursue six strategic objectives, aligned with the Digital Transition Action Plan, namely: optimising public policies in the various areas of governance based on Artificial Intelligence and the promotion of innovative digital technological solutions; improving the interaction of public services with citizens and businesses; assessing the social impacts and ethical implications of technologies, including Artificial Intelligence; increasing the digital skills of public entities and the small and medium-sized enterprises (SMEs) that provide them with services; disseminating good practices and reusable solutions of national and international origin; and improving governance for the digital transition at the various levels of state intervention.    AI4PA Portugal aligns its intervention with the model established in the European network of Digital Innovation Hubs, targeting the priority services of the Digital Innovation Hubs described in the Digital Transition Action Plan,    1- Experimentation and testing of digital technologies in the phase prior to the investment decision; 2- Qualification and training in digital skills; 3- Support in finding funding for investment in digital technologies; 4- Acting as a facilitator bringing together different actors.  

Blockchain is a key technology for economy and society digital transition. According to  the World Economic Forum, 10% of global GDP will be stored in blockchains by 2027 and the World Trade Organization, citing a study by Gartner, estimates that by 2030 the use of blockchain technology could add $3 trillion to international trade. According to PwC "blockchain technologies can boost the global economy by $1.76 trillion by 2030" with the sectors that will benefit most being public administration, education, and health. Despite this huge opportunity, Portugal has yet to take advantage of it: according to the EU Blockchain Ecosystem Development report, in 2020 Portugal holds an average maturity at European level.  This Agenda brought together several blockchain organizations, creating a cluster of 24 Portuguese blockchain companies, 15 Research and Technology Organisations (RTO), 5 Public Entities, 2 Associations and 10 other Associated Partners, connected by business and technology, aiming to become global players and, thus, contributing  to a significant change in the specialization profile of the Portuguese economy, by investing on cutting-edge technology and hiring highly qualified personnel. 

The Master's Degree in Managing Digital Transformation in the Health Sector (ManagiDiTH) is an innovative initiative in the European educational panorama, the result of a project financed by the European Union and led by the School of Applied Digital Technologies (Iscte-Sintra), in collaboration with two other universities: the Laurea - University of Applied Sciences, in Finland, and the AUTH - Aristotle University of Thessaloniki, in Greece. This Master's degree aims to train future professionals, both in the technological and healthcare areas, with essential skills to face the challenges and opportunities that the digital era brings to the healthcare sector. Given the rapid acceleration of technological development, there is an urgent need to equip professionals with the necessary tools to navigate this constantly evolving scenario. With a multidisciplinary and innovative curriculum, the ManagiDiTH master's degree integrates three fundamental components: societal, digital and health. Furthermore, students can choose between two areas of specialization: Data Science or Interoperability. This flexibility allows each student to personalize their training according to their interests and professional aspirations. Thus, students have the opportunity to deepen their knowledge in areas such as artificial intelligence, virtual reality, automation, cybersecurity and other emerging technologies that are redefining the way healthcare services are provided and managed. The study program, consisting of three semesters with a total of 90 ECTS, provides a solid theoretical basis combined with practical experiences and real projects in the sector. Teaching is taught in English, following the most recent pedagogical guidelines related to Distance Learning, which allows the participation of students of different origins and nationalities. The highly specialized teaching staff, coming from diverse academic and professional backgrounds, constitutes an added value of this master's ...

This project aims to explore new research problems that can be solved by using image and video data analysis. This project will be developed in collaboration with the Lisbon City Council (CML) and addresses challenges that CML launched for the scientific community. The area topic to be addressed is computer vision for knowledge extraction based on aerial and street-level city imagery. We propose a new multi-spatial scale urban fabric dataset and a novel convolutional neural network solution for urban fabric classification tasks. Considering the challenges launched by CML and the already established collaboration between Iscte and CML, this project proposes to explore solutions to a set of urban classification problems by using video and image analysis. In this topic the goal is to identify features of the city shape, namely: i) to estimate the existence of unregistered greenspaces, as green rooftops (since CML is not currently aware of most green rooftops existing in Lisbon) and green back yards (not registered in the city council); ii) to estimate the height and deployment shape and area of Lisbon’s buildings, which will enable to develop an automatic and constantly updated tri-dimensional urban fabric map for Lisbon; iii) to estimate and automatically classify the conservation state of buildings’ facades; iv) among others. Such a methodology will be initially based on the set of aerial and street-level images obtained from CML (during the period of the scholarship). We are also considering exploiting existing city plans freely available at OpenStreetMaps to boost the convolutional neural network's training process, as well as to improve its inference performance. In a second phase, we will explore the use of other types of images such as from google street viewer and the ones directly collected by cameras in drones or city council vehicles (e.g., garbage trucks). For this second phase, we envision submitting a proposal to competitive funding and propose this topic...

The FCT project DSAIPA/AI/0122/2020 AIMHealth – AI-based Mobile Applications for Public Health Response, is being promoted by the Information Sciences, Technologies and Architecture Research Center (ISTAR-Iscte), in collaboration with the Center for Psychological Research and Social Intervention (CIS-Iscte), both from Iscte – University Institute of Lisbon, and as well with the Institute of Telecommunications (IT), the Association for Research and Development of the Faculty of Medicine of the University of Lisbon (AIDFM) and the Cardiovascular Center of the University of Lisbon (CCUL). This project is funded by the Foundation for Science and Technology (FCT), according to the FCT contract DSAIPA/AI/0122/2020 under the contest “AI 4 COVID-19: Data Science and Artificial Intelligence in the Public Administration to strengthen the fight against COVID-19 and future pandemics – 2020″. Framework Due to the COVID-19 pandemic, personal contacts were limited, and new solutions had to be developed to prevent the spread of the virus. Some of the technological solutions presented were contact tracing applications, which inform users and authorities about the potential or current risk of spreading the virus. However, among its users, this approach has raised concerns about security and privacy. Objective Encompassing such concerns, this project proposes the creation and availability of a smartphone application and a safe and reliable service distribution platform based on Blockchain and Artificial Intelligence technologies, to identify symptomatic and asymptomatic patients as well as the risk exposure, providing a preventive approach to Public Health strategies.

Based on the experience of the previous editions of summer and winter schools at ISCTE: http://istar.iscte-iul.pt/summerschool2019/ and https://istar.iscte-iul.pt/winterschool2020/ the  summer 2020 edition focus on new challenges on Smart Anything, like Smart {Cities, Buildings, Health, and Education}. Using IoT laboratory we will develop in a short time a set of research projects where students will have a strong participation. The summer school will bring knowledge on IoT systems, and research challenges will go prompt through a set of applied use cases. Simoultaneously, the PhD and master students of the Master in Integrated Business Intelligence Systems (MIBIS) will have the opportunity to continue their running projects. The group of PhD students will share their research data and knowledge, supporting data analytics and artificial intelligence approaches in the following fields : 1) Smart Budings, IoT, 3D data representation and user interaction to save energy on shared space at buildings. Associated to the running project Social IoT .  2) Smart Health, with remote sensing for COVID. The aim of this research is to identify knowledge from sensors and available information. 3) Smart Education. The aim is to extract knowledge from social media data, integrating both qualitative analysis and large-scale data mining techniques, to explore students’ informal conversations and statements on social networks. 4) Smart Cities, with connection to open data laboratory of CMLisboa (https://lisboainteligente.cm-lisboa.pt/lxdatalab/). The goal is to use Lisbon mobility data towards knowledge extraction for the challengers provided by CMLisboa. The Summer School will last for 13 weeks (W) beginning at July 27, with full time classes in the W1 & W13. The projects will run in the IoT Laboratory facilities from W2-W12, with weekly meetings and 3 evaluations periods (W2, W7 and W12). 

This operation aims to improve the service provided by the Polícia Judiciária (PJ) to citizens by automating the operational process of cataloguing photographic images and comparing them with the existing image bank with tens of thousands of images, implementing a prototype that uses the latest Artificial Intelligence (AI) approaches. In particular, an innovative solution will be created for the ballistics area, identified by the PJ as a priority area, which will allow to identify with a high rate of success and speed the correspondence between projectile and possible type of weapon used, reducing the effort and intervention time of specialized human resources, which will have an impact in the process of evidence production and consequently will make Portugal a fairer country. The solution to be developed at ISCTE consists in the implementation of a specific classification model, based on Siamese neural networks, which allows the identification of weapon models from images of the casings of deflagrated projectiles (ballistic classification system). The training and testing of the model will make use of a previously created image database containing a large number of images of deflated projectile casings.

The goal for the funding by the Calouste Gulbenkian Foundation is to encourage changes in the behavior of ISCTE-IUL campus users to reduce energy consumption and improve campus environmental sustainability. It will combine knowledge of Psychology, Engineering, Architecture and Informatics, involving the entire ISCTE-IUL community and will be implemented IoT strategies, behavioral economics and gamification with the connection to BIM models. The project is developed over 4 sequential phases:    1st stage: Diagnosis of the current situation: a. Analysis of the ISCTE-IUL community's perception of environmental sustainability; B. Installation of sensors to measure the energy performance of ISCTEIUL users (eg temperature, humidity, luminosity, noise and power consumption).    Goals:   1) Diagnosis of community perception based on surveys of the target population. Feedback received will serve to identify the main requirements and approaches of our platform. Indicators - Report with variables, data collection and analysis. Goals - Evaluate a representative sample of non-teaching staff, teachers, students and visitors.   2) Real-time collection of sensor data and respective analysis on IoT platform for identification of patterns and behaviors. Indicators - reading real-time data identification patterns. Weekly, monthly, yearly reports. Real-time information on mobile devices. Goals - installation of measurements in 20 locations (reading energy, air quality, luminosity, temperature, noise).    2nd phase: Definition of objectives for the reduction of energy consumption, taking into account the quantitative and qualitative baseline built in the 1st phase of the project related to the calculation of the ecological footprint (consumption) by individual, room, department, building. Indicators - consumption metrics by person, room, department and building. Behavior analysis and its quantification Goals - Perceived behavior and organization of a workshop to disseminate ...

 The SealTall project aims to develop a system that integrates a set of solutions to monitor and control fishing activities, responding to different needs identified in the monitoring, control and surveillance systems. Additionally, the solution to be developed will address fishing management capabilities. ISCTE-IUL participated in ​​the areas of computer vision, analysis of fishing data (Big Data Analysis) and identification of fishing patterns. Resulted in the creation of a patent – Method and system of alert, monitoring and identification of activities in vessels – Patent No. 110128 (National Institute of Industrial Property).