Find out about the projects that are shaping the future with our support.

Contribute to furthering the effort to expand and consolidate the network of interface institutions between the academic, scientific and technological system and the Portuguese business fabric, guaranteeing the necessary support to boost their impact in promoting investment in R&D and innovative investment in companies.

A Test Bed TEXTILE OF THE FUTURE é promovida pela empresa LAMEIRINHO, em copromoção com o DATA COLAB, e tem como objetivo principal alavancar o desenvolvimento tecnológico e a introdução no mercado de novos produtos e/ou serviços direcionados à Digitalização e Sustentabilidade Ambiental da Indústria, com foco nas especificidades da Indústria Têxtil e do Vestuário (ITV).

Com este objetivo, a TEXTILE OF THE FUTURE irá fornecer serviços de desenvolvimento tecnológico, testagem e validação de produtos e/ou serviços das Startups e PME aderentes, assim como serviços de aceleração das referidas soluções, alicerçados nas infraestruturas e experiência de uma empresa líder no setor têxtil (LAMEIRINHO) e o know-how avançado ao nível de tecnologias digitais (DATA COLAB). Estes serviços visam permitir uma travessia bem-sucedida do “vale da morte” e garantir que as soluções atinjam níveis de maturidade tecnológica mais elevados, e que são técnica e comercialmente viáveis.

The Portuguese Data Academy project aims to train adults in the North, Center and Alentejo regions, promoting certified modular training. With training courses focused on data, programming languages and personal development, focused on the digital and green transition, it is aimed at those looking to train to face the challenges of the contemporary job market, in line with the needs of the current job market.

The Drivolution Agenda aims to promote the creation of a Factory of the Future model, based on actions capable of responding to the challenges underlying the energy transition and digital transformation in the automotive sector, enabling the creation of the foundations for smart, sustainable, inclusive and resilient growth. In order to create the desired factory model, this Agenda was designed based on five fundamental lines of action: 1) Digitization, 2) Industry 5.0, 3) Safety and Ergonomics, 4) Materials and 5) Specialized and digital training. Thus, the 20 sub-projects that make up this Agenda are designed to achieve innovation in each line of action, promoting the creation of new processes and products that will have a significant impact on the national economy. In order to develop the desired advances, this Agenda includes a total of 40 entities, 20 companies and 20 entities from the national scientific and technological system, with knowledge and experience in the automotive sector.

The AI-SMAB-PGNP project proposes the development of an Artificial Intelligence (AI) system to support strategic decision-making in the management of the Peneda-Gerês National Park (PNPG) wasteland, facing the challenges posed by climate change, population abandonment and regulatory complexity. The solution integrates emerging technologies such as Big Data, Machine Learning and Digital Twins to collect, process and analyze environmental, socio-economic and tourism data. Open data sources will be used, complemented by sensors installed in the wastelands for real-time monitoring. The system will produce simulations and forecasts to help co-management bodies (public and private) define sustainable strategies, balancing forestry, tourism, farming and conservation uses. The approach focuses on the Great Route of the PNPG and will culminate in a functional proof of concept, serving as a basis for future applications in other protected areas and promoting integrated and efficient management of the territory.

The SMART-CARE project proposes a proof of concept at the ULS of Vale do Lima and Vale do Minho with the aim of transforming hospital management, clinical research and patient care through a strategic and integrated approach to data acquisition, governance, analysis and visualization. The solution is based on three pillars: (i) data integration and governance using ETL tools to consolidate information from multiple sources, ensuring quality, consistency and interoperability; (ii) the application of advanced data analysis techniques, such as predictive modelling and machine learning, to support strategic decisions, optimize resources and anticipate risks; and (iii) the development of interactive interfaces based on Artificial Intelligence, with automated reports and the integration of natural language models to simplify the communication of indicators and reduce the administrative burden. The project aims to significantly improve operational efficiency, support R&TD management and promote more effective healthcare, serving as a replicable model for other hospital units and public administration institutions.

The SMART-GOV.HCA project proposes the development of an innovative digital tool to assess and improve the efficiency, productivity and well-being of Public Administration (PA) workers, based on Lean Office principles, Artificial Intelligence (AI) and data science. Through the automatic and non-evasive collection of data on the activities and behavior of employees in citizen service offices, it will be possible to monitor occupational and mental health, identify operational waste and redesign human-centered workflows. The solution is based on CiTin and ADiT-Lab’s experience in analyzing workstations in an industrial context, now applied to the office environment. Metrics will be developed to evaluate performance and propose organizational improvements tailored to the individual needs of workers, promoting a responsive, healthy and efficient environment. This project responds to the need for digital transformation in the Public Administration, in line with OECD recommendations and promoting a culture of innovation, technological proximity and higher quality public services.