This project seeks to develop a digital ecosystem that allows interaction between various stakeholders (companies, candidates, recruiters). It's a platform that can provide companies with various responses in a gamified way. Among the various offerings are assessment and identification of the profile of candidates and employees in companies. The same platform can help with diagnostic processes and organizational change, using decision algorithms and big data management using machine learning processes to reduce the risk of the decision.

The NEST project investigates how neurodivergent workers act as "sentinels" within organizational environments, detecting early signs of risk and structural dysfunctions. The study draws on Critical Management Studies (CMS) and Sensemaking Theory (Weick, 1995) and adopts a qualitative approach through semi-structured interviews with managers and employees, complemented by socio-demographic and organizational data collection. The project aims to submit an international scientific article, develop an inclusion toolkit, and prepare future national and international funding applications.

The WISE-AI project aims to address the low participation of women in AI sciences and support the implementation of the Sustainable Development Goals (SDGs). Despite the increasing importance of AI in various fields, women remain underrepresented in this sector. By combining training and educational play, the project seeks to empower young women in entrepreneurship and AI skills, bridging the gender gap and promoting inclusion and equality. The project will leverage innovative educational methods, using a game-based approach to make learning engaging and effective.

EMPOWER will focus on education for children with neurodevelopmental disorders (NDDs). Children with NDDs can experience difficulties with language and speech, motor skills, behaviour, memory, learning, or other neurological functions. Technological solutions that can respond to such individual needs have the potential to both improve the quality and inclusiveness of the education of these children and support teachers in carrying out their educational vocation. From a technological perspective, the challenge is not only to deliver the resulting educational program but also to do so accurately and to the benefit of the child. From an ethical perspective, several challenges come together in the trade-off between the potential educational benefits and the necessity to process relevant information regarding the children via measurements and algorithms that shape the educational program. In the proposed AI regulations of the EU (Artificial Intelligence Act, EC/2021), this is a high- risk endeavour. Together, this application domain is therefore a challenging one in that it unites sensitive cases of the obstacles one is likely to encounter in digitizing education. Addressing these challenges is therefore also an opportunity to shed more light on the future of technology and AI in education as the ability to address these challenges in their extreme form will lead to insights that are relevant more generally.

The Covid-19 virus outbreak in late 2019 - early 2020 led to a surge of remote working, where the majority of EU white collar workforce was compelled to work in an out-of-office setting; this comes to a sharp contrast compared to past years, where just 5-10% of EU employees have been working remotely. Nevertheless, such a rise in remote working has not been unprecedented; there has been a steady, yet minimal, increase through the years in the numbers of remote workers (esp. in the ICT sector), with a similar spike during the 2002-2003 SARS outbreak and other similar cases of business interruptions. The difference this time is that the increase in remote working due to Covid-19 virus outbreak has been fuelled both by more flexible and decentralised management practices, as well as more widely available technologies. Moreover, people are more used to it, be it for work or for personal communication. This led to an immediate and creative adaptation of workplaces to a remote work mode, where in many occasions the entire workforce worked from home.

O PROJETO DTE vai disponibilizar um conjunto de funcionalidades inovadoras, que recorrerá a tecnologias nas áreas de inteligência artificial e blockchain, permitindo designadamente a seleção e avaliação de candidatos com motores e ferramentas muito especificas e diferenciadas

This project, supported by Portugal 2020 funds, aims to support BRU-Iscte institutional capacities in submitting applications to European competitive funding, namely within the Horizon 2020 programme. With this support, BRU-Iscte has drafted a strategic plan for 2019-2022 with regards to the submission of applications to competitive European funding schemes in areas of key interest for BRU research activities.