Research Highlights

The Department of Technology, AI and Society (DTAS) explores the complex relationship between technology and society through interdisciplinary research that addresses some of today's most pressing challenges. Our faculty examine how emerging technologies and artificial intelligence are developed, adopted, governed, and experienced—and how they can be shaped to advance human well-being and the public good.

Bringing together perspectives from engineering, social sciences, humanities, and policy, DTAS research connects technological innovation with human behavior, institutional practices, and societal needs. Our work spans five interconnected areas:

Science of Science

Examining how scientific knowledge is created, evaluated, funded, and translated into innovation and societal impact. Research explores scientific discovery, research collaboration, the role of AI in advancing science, and the policies and systems that shape the future of research and innovation.

Sustainability

Addressing the social, technological, and environmental dimensions of sustainability. Research examines climate change, energy and resource use, resilient communities, sustainable innovation, and the role of human behavior, technology, and policy in creating more sustainable futures.

Responsible and Societal AI

Exploring the human, ethical, and societal dimensions of artificial intelligence. Research focuses on human-centered AI, fairness, transparency, accountability, privacy, social impacts, and the responsible design, development, and deployment of intelligent systems.

Together, these research areas reflect DTAS's commitment to understanding technology not simply as a collection of tools, but as a force that transforms people, organizations, institutions, and society. Through interdisciplinary collaboration, our faculty seek to inform responsible innovation, shape technology policy, and contribute to a more equitable, sustainable, and human-centered technological future.

Education

Investigating how technology and artificial intelligence are transforming teaching, learning, and educational experiences. Research explores AI-enabled learning, educational technologies, human-computer interaction, digital literacy, computer science education, and the skills needed to navigate an increasingly technology-driven world.

Policy and Governance

Examining how technologies are shaped, regulated, and governed across institutions and society. Research addresses technology policy, responsible innovation, digital platform governance, algorithmic accountability, public trust, and the institutional and societal implications of emerging technologies.