Dr. Michelle Chen – Information Visualization Meets LIS: Opportunities and Challenges

Dr. Michelle Chen – Information Visualization Meets LIS: Opportunities and Challenges

February 8, 2016 at 6pm PST

Dr. Michelle Chen
Information Visualization Meets LIS: Opportunities and Challenges

Information visualization is considered one of the prime emerging technologies for large-scale data analysis and is an important topic for information professionals to understand. It deals with analyzing, displaying, communicating and interpreting massive amounts of abstract data effectively and efficiently via visual representations. In this webinar, Dr. Chen will present and discuss how information visualization can be used to help libraries and librarians utilize the abundant data resources (to which they now have more and more access) to provide better patron services through enhanced collection analysis, resource allocation, and user engagement.

MichelleChen JPG copyMichelle Chen, Ph.D., is Assistant Professor from the School of Information at San José State University. Prior to joining the iSchool, she taught in several different universities, including the University of Texas at Austin, the University of Connecticut and the University of San Francisco. Her primary areas of research and teaching interests include information visualization, data mining, social media, and online user behavior. In particular, she is interested in studying the value of virtual platforms as informational and social media and the role of today’s networked environment on shaping user behavior. Dr. Chen is also a member of SJSU’s Silicon Valley Big Data and Cybersecurity Center.

Link to session: https://sas.elluminate.com/d.jnlp?sid=2011274&password=D.6DB4059B5816A65D1EF8A1CCF8DFBB

Individuals requiring real-time captioning or other accommodations should contact Dr. Sue Alman as soon as possible.

This presentation will be recorded and the recording accessible at: https://ischoolgroups.sjsu.edu/slasc/

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