معرفی
George Shaw Jr. serves as an Associate Professor in the Department of Health Management and Policy at the University of North Carolina at Charlotte's College of Health and Human Services, with an affiliated appointment in the School of Data Science. His work integrates computational data science with public health challenges, specializing in social media analysis to inform health interventions and policy development.
His educational foundation includes:
- B.S. in Business Administration from Charleston Southern University
- M.S. in Management of Information Systems from North Carolina A&T State University
- Ph.D. in Library and Information Science from the University of South Carolina – Columbia
Dr. Shaw's research pioneers pattern recognition in unstructured social media data to address critical public health issues. He develops innovative data mining techniques that transform raw digital footprints into actionable health intelligence, with particular focus on obesity, exercise behavior, and health information seeking patterns. His methodological rigor bridges computational science and community health needs.
Analysis of his 2017-2020 publications reveals a cohesive research program centered on Twitter data mining for public health surveillance. His work consistently applies computational content analysis to uncover hidden trends in health-related discourse, demonstrating how social media analytics can drive evidence-based health promotion strategies and policy decisions.
His scholarly contributions have earned significant recognition:
- NIH Obesity Health Disparities PRIDE Fellow (2021 Cohort)
- UNC Charlotte Catalyst Fellow (2019 Cohort)
- Gambrell Faculty Fellow (2019 Cohort)
- Robert V. Williams SLIS Student Research Award (2018)
As an educator, Dr. Shaw teaches graduate courses including Health Informatics, Big Data in Healthcare, and Business Intelligence, emphasizing both technical mastery and critical understanding of information systems' societal impact. His NIH PRIDE Fellowship demonstrates active engagement in obesity disparities research training, while conference presentations with students reflect his commitment to mentoring the next generation of health data scientists.
