Researchers at Indiana University Luddy School of Informatics, Computing, and Engineering advance research in data science in areas such as high performance computing, cloud computing, bioinformatics, and complex systems. Our cross-disciplinary research, education, and innovation transfer in the area of large-scale data and search ranges from data mining, searching for hidden information in large amounts of data, long-term preservation and access to enable computational access to large-scale data, algorithms, database theory and database management.See faculty in data science
Studying massive datasets for knowledge and insight
Algorithmic & logical foundations of data science
Study of mathematical, programming, logical, and algorithmic concepts related to data science.
Data security & privacy
Study the security and privacy challenges in managing and exploring massive datasets. Develop secure computing techniques to protect the privacy of human subjects.
Develop machine learning models and intelligent systems to explore and mine massive datasets.
Study the structure of network datasets from different domains, from social networks to biological networks and the Web, and the dynamics of processes running on them.
Biomedical & health data science
Applications of data science approaches to massive data acquired/collected in biomedical and health science research for improving human health.
Social & ethical aspects of data science
Study the social impact and ethic issues in sharing and exploring massive datasets. Address societal challenges using data science approaches.
Database & data management/mining & visualization
Study the data lifecycle, from digital birth to long-term preservation. Develop the techniques for managing and supporting the exploration of massive datasets.
Systems for big data analytics
Design and implement hardware and software systems and infrastructure for efficient acquisition, exploration and mining massive data.