Research Centers

Hubs for broad, interdisciplinary explorations

These IU centers and labs bring together researchers in Luddy departments, related Indiana University units, and sometimes other institutions. Here, faculty and students have the freedom to explore wide-ranging aspects of technology and information, and to figure out how to use tech to help people far and wide.

Centers

ASPIRE

Audio, Speech, and Information Retrieval Research Group Develops algorithms that analyze audio, speech, and signal data to extract meaningful information and make predictions using machine and deep learning concepts.

The Biocomplexity Institute

Studies the emergence of self-organized, complex behaviors from the interaction of many simple agents.

Center for Applied Cybersecurity Research

Identifies and addresses difficult cybersecurity problems, while fostering collaboration that improves innovation.

Center for Bioinformatics Research

Brings together researchers throughout IU who study computational biology and bioinformatics.

Center for Complex Networks and Systems Research

Fosters interdisciplinary research in all areas related to complex networks and systems, computational social science, and data science.

Center for Critical and Humanistic Computing

Researches and advances computing scholarship leveraging critical and humanistic theory, methodology, and practice.

Center for Machine Learning

Focuses on algorithm development for machine learning, including theoretical foundations and large-scale applications.

Center for Programming Systems

Makes discoveries regarding the programming of computer systems and educates the next generation of researchers.

Center for Security and Privacy in Informatics, Computing, and Engineering

Studies and supports the design, evaluation, and implementation of technologies that enable control over information.

Center for Social and BioMedical Complexity

To foster the interdisciplinary study of interactions between the biological and the social, from a complex systems perspective.

Cyberinfrastructure for Network Science Center

Advances data sets, tools, and services for the study of networks, including biomedical, social science, behavioral science, and physics networks.

Data to Insight Center

Carries out foundational research in the social and technical challenges of data use in research and scholarship.

Digital Science Center

Explores new applications and computational techniques to make supercomputing and all advanced cyberinfrastructure tools more effective.

IU Network Science Institute

Promotes research and the development of methods and tools to strengthen the practice of network science and address complex challenges.

Observatory on Social Media

Studies the role of media and technology in society, and develops tools to curb the spread of misinformation online and the manipulation of social media

Rob Kling Center for Social Informatics

Supports research on information technology and social change.

Labs

Bondesson Lab

Protects people and wildlife by identifying toxic chemicals among environmental pollutants and deciphering the mechanisms by which the chemicals act.

Comparative Classification and Documentation Lab

Compares different theoretical and methodological approaches to knowledge organization.

Complex Adaptive Systems and Computational Intelligence

Explores the informational properties of natural and artificial systems that enable them to adapt and evolve.

Computer Vision Lab

Investigates and develops advanced statistical and machine learning techniques for automatically analyzing, understanding, and organizing visual information.

Crisis Technologies Innovation Lab (CTIL)

The Crisis Technologies Innovation Lab (CTIL) is a collaboration between the Luddy School of Informatics, Computing and Engineering (Luddy) and University Information Technology Services (UITS) to accelerate research and practice on the use of next generation technologies in the front lines of emergency and crisis response. It is part of IU’s Pervasive Technology Institute (PTI).

Cultural Research in Techonology Group

Applying humanistic approaches to shape IT research and design.

Fibers and Additive Manufacturing Enabled Systems Lab

Links cyberspace with the physical world by engineering fibers and fabrics and embedding ensembles of nano-transducers and sensors.

Garyfallidis Research Group

Applies techniques like medical imaging and machine learning to MRI analysis to better understand the brain and study diseases. Also is the headquarters of the popular open-source software project Diffusion Imaging In Python (DIPY).

Intelligent Biomedical Systems Lab

Develops novel biomedical devices, sensors, and systems based on micro- and nano-electronics, acoustics, and biotechnologies to improve human health.

Jadhao Lab

Develops and investigates computational models to understand the structure, assembly, and flow of soft materials at the nanoscale and advance their functional properties for medical, environmental, and energy applications.

Privacy lab

Advance research in online privacy, mobile security, and peer-to-peer systems.

Proactive Health Lab

Designs, develops, and evaluates intelligent learning systems to empower lay people to better understand, manage, and improve their health.

R-House Human-Robot Interaction Lab

Collaborates on the study and design of assistive robotic technologies for neighborhoods, homes, and offices.

Signals and Artificial Intelligence Group in Engineering

Researches machine learning to solve real-world signal processing problems.

Socioneural Physiology Lab

Studies the neuroregulation of bodily processes, particularly the neurophysiological mechanisms that facilitate social behavior.

Vehicle Autonomy and Intelligence Lab

Enhances the autonomy and intelligence of robotic systems such as unmanned ground, aerial, and aquatic vehicles.

Virtual World Heritage Laboratory

Focuses on 3D scientific simulation and how it can make possible experiences and experiments that—short of time travel—would otherwise not be possible.

Web Science Lab

Develops better methods to model, share, link, and integrate data and information to enhance knowledge discovery and dissemination.