Alice Oh is an Assistant Professor of Computer Science at KAIST. She heads the Users & Information Lab, with the research agenda of understanding users and information from several different perspectives. Recent research at the lab has focused on analyzing online social media such as blogs and microblogs using statistical learning algorithms such as topic models. Alice received her Master's degree in Language Technologies from CMU in 2000 and her Ph.D. in Computer Science from MIT in 2008.
Jana Diesner is a Ph.D. Student at Carnegie Mellon University, School of Computer Science, Institute for Software Research. Her mission is to span the boundary between natural language processing and relational data analysis in order to better understand the co-evolution and interplay of the semantics and mechanics of real-world, socio-technical networks. She combines methods from machine learning, artificial intelligence, and social science for this purpose. She also is a developer for AutoMap, a freely available software package for network text analysis.
4. Program Committee
Edoardo M. Airoldi
Harvard University
Kathleen Carley
Carnegie Mellon University
James Caverlee
Texas A&M University
Meeyoung Cha
Max Planck Institute for Software Systems
William Cohen
Carnegie Mellon University
Jason Kessler
Indiana University
Il-Chul Moon
Korea Advanced Institute of Science and Technology
Ozlem Uzuner
State University of New York, Albany
Shinjae Yoo
Carnegie Mellon University