Data Community

Who We Are

The Data Community in the College of Education, Criminal Justice, and Human Services aims to promote a community on innovative use of data to solve real-world and methodological problems by pooling expertise from the four schools, the CECH library, and other units in the College. We are committed to advancing best practices for using data including data management, data representations, the full spectrum of analytic methodology (qualitative, quantitative, and mixed methods), and promoting skills for handling data. 

About Us

The Data Community in the College of Education, Criminal Justice, and Human Services aims to promote a community on innovative use of data to solve real-world and methodological problems by pooling expertise from the four schools, the CECH library, and other units in the College. We are committed to advancing best practices for using data including data management, data representations, the full spectrum of analytic methodology (qualitative, quantitative, and mixed methods), and promoting skills for handling data. To achieve our vision, two primary goals of the initiative are:

  • Integration: Through identification of expertise and resources in different units within and outside of the college, we aim to build connections among people and units working on diverse research topics sharing a common interest in data analytics.
  • Training: Through events, workshops, and short courses, we encourage the sharing of cutting-edge techniques and tools for innovative use of data across the wide variety of disciplines in the college.

People

Hok Chio (Mark) Lai

mark.lai@uc.edu

Dr. Mark Lai is an Assistant Professor in the School of Education. His research interest includes developing and evaluating methods to estimate effect size, understanding the need for multilevel modeling in education, and exploring interpretable ways to evaluate the impact of measurement non-invariance

Hexan Liu headshot photo

Hexuan Liu

hexuan.liu@uc.edu

Dr. Hexuan Liu is an Assistant Professor in the School of Criminal Justice. His research focuses on (1) the integration of social science with biology and genomics to understand the complex mechanisms underlying criminal behavior and health outcomes, and (2) quantitative methodology, particularly statistical and computational methods analyzing big data.