In a world increasingly defined by data and automation, the intersection of technology and social welfare is emerging as one of the most critical frontiers for sustainable development. At the heart of this evolution is Orugboh Oritsemeyiwa Gabriel, a Cardiff-based researcher and social innovation expert whose work bridges the gap between computing, sociology, and public welfare.
In this conversation with Business Day, Orugboh discusses his interdisciplinary journey, his pioneering research in socio-computing, and his mission to use technology to create meaningful social change.
You’ve been described as one of the leading voices in socio-computing and technology-driven social innovation. Can you tell us how this journey began?
My journey started from a deep curiosity about how societies function and how technology can be used to improve human conditions. I studied Sociology and Anthropology at the University of Benin, which gave me an understanding of human systems. Later, I pursued my MSc in Sociology at the University of Ibadan and MSc in Computing at Cardiff University in Wales.
Combining these two worlds, social science and computing helped me see that data and algorithms could be more than just technical tools; they could be social instruments for inclusion, welfare, and better policymaking.
What exactly is socio-computing, and how does it contribute to social welfare?
Socio-computing focuses on using computational methods to analyze and address social problems. It merges social science insights with technological tools such as data analytics, artificial intelligence, and digital modeling.
For example, in my research on childbearing in emerging slum communities, I used data models to understand how education, poverty, and digital exposure influence family health choices.
The goal is always to provide evidence that policymakers and NGOs can use to design more equitable welfare programs. In practice, socio-computing makes it possible to translate social challenges into quantifiable data, so that interventions can be targeted, measurable, and impactful.
Your publications touch on issues like migration, gender dynamics, and community development. How do these tie into your broader field of innovation?
Each of those studies is part of a larger effort to connect human behavior and digital systems. I explored cultural shifts among young people using survey data and digital analysis tools.
These works combine computing and sociology to uncover trends that would otherwise remain hidden, helping governments and organizations build smarter social strategies.
Beyond research, how are you applying these ideas in practice?
I currently work within the social welfare sector in the United Kingdom, where I apply data-driven methods to improve client support, emotional well-being monitoring, and resource optimisation.
Prior to this, I gained experience as an IT Support and Test Analyst, contributing to digital transformation initiatives in the public sector. Together, these roles have deepened my understanding of how technology, when applied ethically and intelligently, can meaningfully enhance human welfare and operational efficiency.
What’s your vision for the future of technology and social innovation?
My vision is simple: technology must serve humanity. We’re entering an era where artificial intelligence and data systems will influence every part of life. My goal is to ensure that these tools are used to solve real human problems, healthcare, education, inequality, and welfare not just to optimize profit.
Socio-computing provides a way to do that responsibly. By combining data, empathy, and innovation, we can build systems that are both intelligent and humane.
