i2TIC-IA Lab

Interdisciplinary research group on ICT - Artificial Intelligence Laboratory

Detail Research lines Projects Publications Collaboration Theses

Date of inception 01 January 2008

Leaders: Pilar Ficapal CusíJoan Torrent-Sellens

Center: Digital Transformation and Governance Research Centre (UOC-DIGIT)

The Interdisciplinary Research Group on ICT-Artificial Intelligence Laboratory (i2TIC-IA Lab) is a multidisciplinary research group formed by professors and researchers from different fields of the social sciences. Its main objective is to study the effects of digital technologies and artificial intelligence (AI). Specifically, the group's research focuses on the economic, business, labour, well-being and health, and sustainability dimensions of the interaction between technology, people, groups, organisations, institutions, territories, and policies. The main lines of research of i2TIC-IA Lab are: 1. Political economy of AI Based on contributions from economics, management, political science, sociology, psychology, history, and science and technology studies, we investigate the economic and political structures that support innovation and digital transformations in the AI era. We study how AIs (predictive, generative and transformative/agentic), and their interaction with other technologies of the second digital wave, transform behaviour, activity and main socio-economic results. 2. Digital transformation of business and organisations We investigate the antecedents and effects of digital transformation in business and non-business organisations. We study the adoption mechanisms, complementarities with people, organisations, institutions, territories and policies, and the effects of the use of AI on the value generation and the results of firms and organisations. 3. Sustainable management & AI We analyse how strategy, management practices and organizational behaviour connect with AI-digital transition and sustainability, understood as the triple vector of economic, social and environmental results. We explore the meaning and dimensions of sustainable management, and investigate the individual, group, organisational and technological predictors that generate sustainable economic, social and environmental behaviour. 4. AI, skills and the future of work We analyse the link between AI, people's skills and the future of work. Specifically, we study the determinants of adoption and personal use of AIs; their complementarity with people's digital skills and competencies and with individual behaviour patterns; and how the interaction between AI-related digital technologies, person, work, space and society generates trajectories of risks and outcomes in labour or socio-environmental terms. 5. Digital transition, well-being and occupational health We study the relationship between technology, work, health and occupational well-being. Specifically, we investigate job satisfaction and quality, and psychosocial risks derived from the use of technology, especially AI. We explore the interaction between different individual characteristics and behaviours, and psychosocial constructs with the dimensions of work well-being and occupational health. We also analyse digital forms of healthcare and health service delivery. Specifically, how digital health and telemedicine adopt and transform the practices of health professionals, healthcare activity, the professional-patient relationship, and the outcomes (personal and organizational) of health entities and systems. 6. Geopolitics and geoeconomics of AI We analyse the increasing levels of conflict resulting from a global competition for the balance of power, underpinned by a series of geostrategic approaches in the AI era. In this sense, we explore the juxtaposition of both ...

The Interdisciplinary Research Group on ICT-Artificial Intelligence Laboratory (i2TIC-IA Lab) is a multidisciplinary research group formed by professors and researchers from different fields of the social sciences. Its main objective is to study the effects of digital technologies and artificial intelligence (AI).

Specifically, the group's research focuses on the economic, business, labour, well-being and health, and sustainability dimensions of the interaction between technology, people, groups, organisations, institutions, territories, and policies. The main lines of research of i2TIC-IA Lab are:

1. Political economy of AI

Based on contributions from economics, management, political science, sociology, psychology, history, and science and technology studies, we investigate the economic and political structures that support innovation and digital transformations in the AI era. We study how AIs (predictive, generative and transformative/agentic), and their interaction with other technologies of the second digital wave, transform behaviour, activity and main socio-economic results.

2. Digital transformation of business and organisations

We investigate the antecedents and effects of digital transformation in business and non-business organisations. We study the adoption mechanisms, complementarities with people, organisations, institutions, territories and policies, and the effects of the use of AI on the value generation and the results of firms and organisations.

3. Sustainable management & AI

We analyse how strategy, management practices and organizational behaviour connect with AI-digital transition and sustainability, understood as the triple vector of economic, social and environmental results. We explore the meaning and dimensions of sustainable management, and investigate the individual, group, organisational and technological predictors that generate sustainable economic, social and environmental behaviour.

4. AI, skills and the future of work

We analyse the link between AI, people's skills and the future of work. Specifically, we study the determinants of adoption and personal use of AIs; their complementarity with people's digital skills and competencies and with individual behaviour patterns; and how the interaction between AI-related digital technologies, person, work, space and society generates trajectories of risks and outcomes in labour or socio-environmental terms.

5. Digital transition, well-being and occupational health

We study the relationship between technology, work, health and occupational well-being. Specifically, we investigate job satisfaction and quality, and psychosocial risks derived from the use of technology, especially AI. We explore the interaction between different individual characteristics and behaviours, and psychosocial constructs with the dimensions of work well-being and occupational health. We also analyse digital forms of healthcare and health service delivery. Specifically, how digital health and telemedicine adopt and transform the practices of health professionals, healthcare activity, the professional-patient relationship, and the outcomes (personal and organizational) of health entities and systems.

6. Geopolitics and geoeconomics of AI

We analyse the increasing levels of conflict resulting from a global competition for the balance of power, underpinned by a series of geostrategic approaches in the AI era. In this sense, we explore the juxtaposition of both geopolitics and geoeconomics integrated within the geostrategy of major powers and international alliances, using military, technological, economic or financial means to exert influence.