activity
20142021
most citedMachine-learned epidemiology: real-time detection of foodborne illness at scale

118 citations · 341 across the 6 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2021★ 23 cited

The impact of inter-city mobility on urban welfare

Sayat Mimar, David Soriano-Paños, Alec Kirkley +5

While much effort has been devoted to understand the role of intra-urban characteristics on sustainability and growth, much remains to be understood about the effect of inter-urban…

cs.MA2020★ 5 cited

Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway

Alok Talekar, Sharad Shriram, Nidhin Vaidhiyan +10

The Mumbai Suburban Railways, \emph{locals}, are a key transit infrastructure of the city and is crucial for resuming normal economic activity. To reduce disease transmission, poli…

physics.soc-ph2020★ 98 cited

Uncovering the socioeconomic facets of human mobility

Hugo Barbosa, Surendra Hazarie, Brian Dickinson +6

Given the rapid recent trend of urbanization, a better understanding of how urban infrastructure mediates socioeconomic interactions and economic systems is of vital importance. Wh…

physics.soc-ph2020★ 57 cited

Impact of urban structure on infectious disease spreading

Javier Aguilar, Aleix Bassolas, Gourab Ghoshal +8

The ongoing SARS-CoV-2 pandemic has been holding the world hostage for more than a year now. Mobility is key to viral spreading and its restriction is the main non-pharmaceutical i…

cs.CY2020

Inferring Nighttime Satellite Imagery from Human Mobility

Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla +2

Nighttime lights satellite imagery has been used for decades as a uniform, global source of data for studying a wide range of socioeconomic factors. Recently, another more terrestr…

cs.CY2018★ 118 cited

Machine-learned epidemiology: real-time detection of foodborne illness at scale

Adam Sadilek, Stephanie Caty, Lauren DiPrete +6

Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health has been underutilized. The objective of this study is…

cs.MA2014★ 40 cited

Location-Based Reasoning about Complex Multi-Agent Behavior

Adam Sadilek, Henry Kautz

Recent research has shown that surprisingly rich models of human activity can be learned from GPS (positional) data. However, most effort to date has concentrated on modeling singl…