Overview
- Focuses on the use of artificial intelligence (AI) for socially vulnerable populations
- Presents methods to evaluate socially vulnerable groups and analyze their information needs during the pandemic
- Provides new suggestions on understanding the difficulties faced by socially vulnerable groups
Part of the book series: Synthesis Lectures on Information Concepts, Retrieval, and Services (SLICRS)
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Table of contents (8 chapters)
Keywords
About this book
Editors and Affiliations
About the editors
Dan Wu, Ph.D., is Professor in the School of Information Management at Wuhan University, Member of the Academic Committee of Wuhan University, and Director of the Human–Computer Interaction and User Behavior Research Center. Her research areas include information organization and retrieval, user information behavior, human–computer interaction, and digital libraries. Her work is published in various journals (including the IP&M, JASIST, etc.). She has presented at several conferences related to information behavior, information retrieval, and digital library (SIGIR, CIKM, CSCW, CHIIR, etc.). Dr. Wu received her Ph.D. from the Peking University in Management. He serves as Editor-in-Chief of Aslib Journal of Information Management and Executive Editor of Data and Information Management. She also serves as a director at large of the ASIS&T. She is a member of the ACM Digital Library Committee, a member of the iSchool Data Science Curriculum Committee, and a member of the JCDL Steering Committee.
DeeDee Bennett Gayle, Ph.D. is Associate Professor in the College of Emergency Preparedness, Homeland Security, and Cybersecurity at the University at Albany, State University of New York. She broadly examines the influence and integration of advanced technologies on the practice of emergency management, and for use by vulnerable populations. Her work is published in various journals, and she has presented at several conferences related to emergency management, disability, wireless technology, and future studies. Dr. Bennett Gayle received her Ph.D. from Oklahoma State University in Fire and Emergency Management. She has a unique academic background having received both her M.S. in Public Policy and B.S. in Electrical Engineering from the Georgia Institute of Technology. She is Advisory Board Member for the Institute for Diversity and Inclusion in Emergency Management (I-DIEM), a member of the Social Science Extreme Events Reconnaissance (SSEER) and Interdisciplinary Science Extreme Events Reconnaissance (ISEER), within the NSF-FUNDED CONVERGE initiative.
Bibliographic Information
Book Title: Social Vulnerability to COVID-19
Book Subtitle: Impacts of Technology Adoption and Information Behavior
Editors: Xiaojun Yuan, Dan Wu, DeeDee Bennett Gayle
Series Title: Synthesis Lectures on Information Concepts, Retrieval, and Services
DOI: https://doi.org/10.1007/978-3-031-06897-3
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 12
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-06896-6Published: 02 February 2023
Softcover ISBN: 978-3-031-06899-7Published: 02 February 2024
eBook ISBN: 978-3-031-06897-3Published: 01 February 2023
Series ISSN: 1947-945X
Series E-ISSN: 1947-9468
Edition Number: 1
Number of Pages: IX, 136
Number of Illustrations: 5 b/w illustrations, 14 illustrations in colour
Topics: Information Storage and Retrieval, Computer Science, general, Data Mining and Knowledge Discovery