Information pervades today's human activities, essentially making every sector of society an information environment. Due to the ubiquity of technological innovations and their interconnectivity, there is no aspect of lives of individuals that has not been affected. Individuals & organizations use multiple devices and networking platforms to interact with each other, businesses, and governments, as well as to search, retrieve, and consume information. Adoption and use of information and communication technologies (ICTs) and the nature of information in general and its management and use have been topics of discussion at events such as the ASIS&T Annual Meeting. However, what is often lacking, if not missing, is a broader discussion about information and ICTs, in applied areas such as emergency management, homeland security, and cybersecurity.This panel examines the interaction between being a transient migrant, using international students as a salient example, and information behaviors in a time of COVID-19. We address issues such as information overload, selection of information sources, and social networking. The aim of this panel is to bring together interested researchers in the areas of information practices, higher education, and intercultural communication.The greatest challenge for many organizations today is not the acquisition, organization, and storage of information, but rather the ability to transform such information into useful knowledge as well as the application and measurement of it. This paper discusses effective knowledge transfer in a training environment and the inherent limitations in using only quantitative measures as a tool of knowledge transfer measurement. By examining the measurement tool of a major U.S.-based airline, this study identifies disparity in peer and observer behavior assessment to understand other important factors that impact the measurement of knowledge transfer.Hurricane Katrina, the 4/27/2011 Tornadoes, the Oso Mudslide, and even more recently, the Coronavirus Pandemic, all demonstrated the devastating experience of disaster. While each of these extreme events varied in scope, size, and degree of disruption, each overwhelmed local authorities necessitating state and federal assistance. Prevention of disasters is ideal, but not practical. Preferably, the emphasis is placed on resilience or a community's ability to bounce back. Public libraries are considered trusted pillars in their community, posing them to provide critical information in the face of extreme challenges. This work explores community resilience and how public libraries in the United States, as Federal Emergency Management Agency (FEMA)-designated essential community organizations, enhance community resilience. American Library Association Policy already recognizes the role libraries should play, and more recently, FEMA recognized libraries as "essential community organizations," tasking them with the responsibility of fulfilling critical information needs in the case of a disaster. https://www.selleckchem.com/products/Eloxatin.html However, this designation was made without a clear understanding of how libraries should support their communities, leading to confusion during the United States' response to Covid19. This work identifies a gap between the perspectives of the librarians and disaster response agents and suggests methods for closing this gap.The COVID-19 pandemic has impacted all aspects of our lives, including the information spread on social media. Prior literature has found that information diffusion dynamics on social networks mirror that of a virus, but applying the epidemic Susceptible-Infected-Removed model (SIR) model to examine how information spread is not sufficient to claim that information spreads like a virus. In this study, we explore whether there are similarities in the simulated SIR model (SIRsim), observed SIR model based on actual COVID-19 cases (SIRemp), and observed information cascades on Twitter about the virus (INFOcas) by using network analysis and diffusion modeling. We propose three primary research questions (a) What are the diffusion patterns of COVID-19 virus spread, based on SIRsim and SIRemp? (b) What are the diffusion patterns of information cascades on Twitter (INFOcas), with respect to retweets, quote tweets, and replies? and (c) What are the major differences in diffusion patterns between SIRsim, SIRemp, and INFOcas? Our study makes a contribution to the information sciences community by showing how epidemic modeling of virus and information diffusion analysis of online social media are distinct but interrelated concepts.Keeping informed given rapid trend in data and resources about covid-19 is a new challenge. Different user groups (researchers/doctors, practitioners, public) vary in linguistic expression and vocabulary so a new retrieval framework might likewise vary to improve retrieval, expose unanticipated concepts, and establish a sustainable research stream. In this project a document collection about covid-19 was created, parsed according to ISO12620's definition of linguistic register, and retrieval sets compared. Results suggest trends from other fields parallel register-oriented criteria; project exposes unexpected concepts across groups, uses of visualization, and warrants ling-register as a sustainable IR research stream.COVID-19 has become a global pandemic affecting billions of people. Its impact on societies worldwide will be felt for years to come. The purpose of this research is to examine information flows about COVID-19 to understand the information-specific underpinnings that are shaping understandings of this crisis. As a starting point, this research analyzes information about COVID-19 from a selection of information sources, including the World Health Organization (WHO), the National Health Commission of the People's Republic of China (NHCPRC), and three news outlets with vast global coverage. The analysis reveals some distinctive information underpinnings about COVID-19, including (a) flows of information becoming regular and larger around certain dates, (b) preponderance of information imperfections such as incomplete information, misinformation, and disinformation, and (c) absence of information about some key turning points. The implications of these information imperfections in that they create information failures and, hence, ineffective approaches to dealing with this crisis warrant further investigation.