The field of Informatics encompasses a wide range of research areas that keep computing on the cutting edge. Our diverse faculty focuses on a number of areas, including the following:

Human Computer Interaction Design

HCI design is about the design, development, and implementation of humanly usable and socially acceptable interactive devices, applications, services, and systems with the goal of shaping new interactive artifacts. Our research focuses on the theory and practice of HCI and interaction design, with special focus on design theory, slow change interaction design, sustainability, aesthetic interaction, every day and domestic interaction design and design pedagogy.

Social Informatics

Understanding the design, uses, and effects of information technology is the goal of Social Informatics. Our researchers study how technologies influence and impact organizations and societies, and we also work to understand how social contexts shape technologies.

Interactive Intelligent Systems

Interactive and intelligent systems (IIS) is an interdisciplinary field studying the interactions between humans and computers, and developing intelligent technologies that can interact with humans and their environment. Research and teaching in the field include artificial intelligence, computer vision, human-robot interaction, dynamical systems, cognitive science, and machine learning.


Using software and computer-bases analysis for the study of archeological sites and long-term human behavior are at the core of archaeoinformatics. Our research uses visual images, archological data from the field and computational algorithms to recreate the past so it may be better studied and understood.

Music Informatics

Studying music as data is at the hear of Music Informatics. Our research uses an interdisciplinary approach to study a wide range of applications including musical accompaniment systems, optical score recognition, music audio analysis, and a computer-driven analysis of harmony, motive, and musical expression.


Using data mining information to relate compounds, targets, and diseases from multiple sources, including publications, predictive models and experimental databases, cheminformatics aims to make connections between drug and disease relationships that might otherwise go unnoticed. Our research can be used to develop new drugs, or to diagnose disease at an earlier age.

Complex Networks and Systems

The goal of our research is to understand the dynamics of complex systems - multivariate systems whose collective behavior is shaped by the interaction networks of a large number of components and driven by nonlinear feedback mechanisms. Our approach is strongly interdisciplinary and draws on skills, results, and expertise from a number of different areas, including physics, biology, psychology, linguistics, cognitive science, informatics, and computer science. The applications of our work spans many domains, such as critical socio-technical infrastructures, social dynamics, online behavior, biochemical regulation, evolutionary systems, and human culture and health.

Proactive Health Informatics

Our research combines cutting edge, innovative technologies with the latest in data analytics to design, implement, and evaluate technologies to help people better understand, manage, and improve their health. By bringing together Human Computer Interaction and Machine Learning, Proactive Health aims to tackle the most pressing health problems facing society.

Security Informatics

Security Informatics is about more than just protecting vital information. It's about understanding the complex interactions between technology, organizations, economics, and end users to learn what information might be vulnerable and define how best to protect it. Our diverse team studies the social and personal aspects of protecting data, privacy and other assets, explores the technology and economic impact of information security, and employs a wide range of methods to identify potential security risks and design robust technologies to mitigate them.

Data Science

Society faces growing mountains of data, and it is up to data science research to create the foundations from which data can be trusted, visualized and data mined, and stored in ways that enable new navigation, allowing new knowledge about ourselves and societies to emerge. Our research involves data from social media, digitized books from university libraries, search engines, environmental sensors, insurance companies, healthcare organizations, retail and many other areas that taken together help create the foundation for the next generation of computing.