A5019194155- Misinformation and Its Impacts
- Agricultural risk and resilience
- Data-Driven Disease Surveillance
- COVID-19 epidemiological studies
- Disaster Management and Resilience
- Hate Speech and Cyberbullying Detection
- Public Relations and Crisis Communication
- Space exploration and regulation
- COVID-19 Digital Contact Tracing
- Crime, Deviance, and Social Control
- Law, Ethics, and AI Impact
- Global Energy and Sustainability Research
- Malaria Research and Control
- Social Media and Politics
- Species Distribution and Climate Change
- Remote Sensing and Land Use
- Transportation and Mobility Innovations
- Remote Sensing in Agriculture
- Literature Analysis and Criticism
- Vaccine Coverage and Hesitancy
- Information and Cyber Security
- Methane Hydrates and Related Phenomena
- Arctic and Antarctic ice dynamics
- Big Data and Business Intelligence
- Big Data Technologies and Applications
Los Alamos National Laboratory
2020-2024
Background: The COVID-19 outbreak has left many people isolated within their homes; these are turning to social media for news and connection, which leaves them vulnerable believing sharing misinformation. Health-related misinformation threatens adherence public health messaging, monitoring its spread on is critical understanding the evolution of ideas that have potentially negative impacts. Results: Analysis using model-labeled data was beneficial increasing proportion matching indicators....
Climate and land use change may cause the geographical range of mosquitoes to expand, shift, or contract, ultimately changing what communities are at risk for contracting mosquito-borne diseases. Across North South America, from Aedes Culex genera vectors numerous diseases, including chikungunya, dengue, various equine encephalitis viruses, Saint Louis virus, West Nile yellow fever Zika virus. The goal our study was project distributions important mosquito across America in response climate...
The COVID-19 pandemic has highlighted a need for better understanding of countries' vulnerability and resilience to not only pandemics but also disasters, climate change, other systemic shocks. A comprehensive characterization can inform efforts improve infrastructure guide disaster response in the future. In this paper, we propose data-driven framework studying incident disasters across multiple dimensions society. To illustrate methodology, leverage rich data landscape surrounding...
Background Health authorities can minimize the impact of an emergent infectious disease outbreak through effective and timely risk communication, which build trust adherence to subsequent behavioral messaging. Monitoring psychological impacts outbreak, as well public such messaging, is also important for minimizing long-term effects outbreak. Objective We used social media data from Twitter identify human behaviors relevant COVID-19 transmission, perceived on individuals, a first step toward...
<title>Abstract</title> We investigated global food security in response to drought using a process-based crop model within an Earth system model. Globally, future losses for annual maize, soybean, rice, and wheat production are projected be <2%. Despite the small change at scale, 62 countries may face >10% 24 >20%. Vulnerability is highest with lower GDP higher population growth.
Change detection seeks to identify temporal changes in material composition within a remotely sensed scene by comparing the pixels of two images collected at different points time. Anomalous change (ACD), particular, emphasizes that are from how other might have changed. This will suppress broader but potentially uninteresting changes, e.g., seasonal or pervasive like snow shadowing. ACD algorithms typically applied physics-based imagery such as multispectral data synthetic aperture radar...
<sec> <title>BACKGROUND</title> Health authorities can minimize the impact of an emergent infectious disease outbreak through effective and timely risk communication, which build trust adherence to subsequent behavioral messaging. Monitoring psychological impacts outbreak, as well public such messaging, is also important for minimizing long-term effects outbreak. </sec> <title>OBJECTIVE</title> We used social media data from Twitter identify human behaviors relevant COVID-19 transmission,...
<sec> <title>BACKGROUND</title> The COVID-19 outbreak has left many people isolated within their homes; these are turning to social media for news and connection, which leaves them vulnerable believing sharing misinformation. Health-related misinformation threatens adherence public health messaging, monitoring its spread on is critical understanding the evolution of ideas that have potentially negative impacts. </sec> <title>OBJECTIVE</title> aim this study use Twitter data explore methods...