Institute for Interdisciplinary Data Science

Harnessing the power of data to solve real-world problems

The Institute for Interdisciplinary Data Science (IIDS) at the University of Cincinnati brings expert faculty in the fields of engineering,
business, education, medicine and criminal justice together to develop novel analytics strategies and techniques to address societal challenges.

IIDS faculty use computational and statistical methods to generate innovative insights and develop solutions for real - world problems in areas such as:

  • Education
  • Business
  • Health sciences
  • Social sciences
  • Psychology
  • Biomedical science

By coordinating analytics activities throughout the university, IIDS
serves as an internal analytics consultancy group for UC and
provides a powerhouse of data analytics expertise to bolster the university’s scientific explorations.


 IIDS Team:

Established in 2017, IIDS is committed to its triparte mission of research, teaching and community engagement.  

Gowtham Atluri headshot

Gowtham Atluri, PhD
Assistant Professor
College of Engineer and Applied Science
Areas of Specialization:
Mining spatiotemphoral data collected in domains such as climate science, neuroscience, transportation, mobile health and geography; mining biomedical data and developing algorithms

Dariotis headshot

Jacinda K. Dariotis, PhD, MAS, MA, MS
College of Education, Criminal Justice and Human Services
Areas of Specialization:
Research and evaluation methods, survey research, biosocial methodologies, prevention and translational science, public health, adolescent and young adult risk-taking decision-making behaviors.

Liu headshot

Hexuan Liu, PhD
Assistant Professor
College of Education, Criminal Justice and Human Services
Areas of Specialization:
Integration of social science with biology and genomics to understand complex mechanisms underlying criminal behvior and health outcomes; quantitative methodology


Sox headshot

Charles R. Sox, PhD
Lindner College of Business
Areas of Specialization:
Application of operations research and statistics to business analytics problems in supply chain management, planning and scheduling, inventory, control and logistics.

Wu headshot

Danny Wu, PhD, MS
Assistant Professor
College of Medicine 
Areas of Specialization:
Human-computer interaction, data mining, information retrieval and natural language processing to maximize the value of clinical data stored in electronic health records to improve quality of care and translational research.