research
∙
06/23/2023
Social AI and the Challenges of the Human-AI Ecosystem
The rise of large-scale socio-technical systems in which humans interact...
share
research
∙
01/30/2023
Spatial scales of COVID-19 transmission in Mexico
During outbreaks of emerging infectious diseases, internationally connec...
research
∙
12/17/2022
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
The COVID-19 pandemic offers an unprecedented natural experiment providi...
research
∙
06/10/2022
Multi-fidelity Hierarchical Neural Processes
Science and engineering fields use computer simulation extensively. Thes...
research
∙
06/05/2021
Accelerating Stochastic Simulation with Interactive Neural Processes
Stochastic simulations such as large-scale, spatiotemporal, age-structur...
research
∙
05/25/2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
Deep learning is gaining increasing popularity for spatiotemporal foreca...
research
∙
02/12/2021
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
We introduce DeepGLEAM, a hybrid model for COVID-19 forecasting. DeepGLE...
research
∙
12/08/2020
Predicting seasonal influenza using supermarket retail records
Increased availability of epidemiological data, novel digital data strea...
research
∙
07/01/2020
An Early Warning Approach to Monitor COVID-19 Activity with Multiple Digital Traces in Near Real-Time
Non-pharmaceutical interventions (NPIs) have been crucial in curbing COV...
research
∙
06/21/2020
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks
Locating the source of an epidemic, or patient zero (P0), can provide cr...
research
∙
04/10/2020
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
research
∙
04/08/2020
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
We present a timely and novel methodology that combines disease estimate...
research
∙
03/30/2020
Survey Data and Human Computation for Improved Flu Tracking
While digital trace data from sources like search engines hold enormous ...
research
∙
04/28/2005
