A Presentation by Hye-Chung Kum, PhD, MSW, MS
Texas A&M Health Science Center, Dept. of Health Policy & Management
University of North Carolina at Chapel Hill, Dept. of Computer Science
Thursday, August 21, 2014
Data science is the systematic study of digital data using scientific techniques of observation, theory development, systematic analysis, hypothesis testing, and rigorous validation. Data scientists are those that can apply data science to continuously changing deluge of digital raw data, called Big Data, that are often inconsistent and erroneous to extract and deliver actionable knowledge in a timely manner. The ability to convert existing raw data (e.g., administrative data, EHR, claims data) into timely information that is useful, applicable, and ultimately transformational requires specialized interdisciplinary data science teams with individuals who are cross-trained in the domain science (i.e. social work), computer science, and statistics. The talk focused on what is big data and data science and how is it different compared to traditional science.