85 citations · 89 across the 4 of their papers we have counts for
5 papers
Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
Dave Osthus, Alexander C. Murph, Emma E. Goldberg +4
Forecasting infectious disease outbreaks is hard. Forecasting emerging infectious diseases with limited historical data is even harder. In this paper, we investigate ways to improv…
Evaluation of Seismic Artificial Intelligence with Uncertainty
Samuel Myren, Nidhi Parikh, Rosalyn Rael +3
Artificial intelligence has transformed the seismic community with deep learning models (DLMs) that are trained to complete specific tasks within workflows. However, there is still…
"Thought I'd Share First" and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study
Dax Gerts, Courtney D. Shelley, Nidhi Parikh +5
Background: The COVID-19 outbreak has left many people isolated within their homes; these people are turning to social media for news and social connection, which leaves them vulne…
Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil
Katherine Kempfert, Kaitlyn Martinez, Amir Siraj +8
Predicting an infectious disease can help reduce its impact by advising public health interventions and personal preventive measures. Novel data streams, such as Internet and socia…
The ISTI Rapid Response on Exploring Cloud Computing 2018
Carleton Coffrin, James Arnold, Stephan Eidenbenz +45
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrati…