Hands-on: Visualization, artificial intelligence, and social media
Leading-edge data analysts at University of British Columbia walk journalists through some of the techniques they're using to investigate matters of public interest.
Muhammad Abdul-Mageed is an Assistant Professor of Information Science in the iSchool@UBC. Before UBC, Dr. Abdul-Mageed held various positions in the School of Informatics and Computing, Indiana University, the Center for Computational Learning Systems, Columbia University, and the World Well-Being Project, the University of Pennsylvania. His interests lie at the intersection of natural language processing, applied deep learning, and social media mining.
Tamara Munzner is a computer science professor at UBC, holding a PhD from Stanford. She has been active in visualization research since 1991 and has published over sixty papers. Her research interests include the development, evaluation, and characterization of information visualization systems and techniques. She has worked on problem-driven visualization in many application domains ranging from genomics to computational linguistics to computer networking to journalism.
University of British Columbia computer science professor Tamara Munzner walks through some of the techniques used to investigate matters of public interest in these slides.