activity
20142026
most citedGlobal disease monitoring and forecasting with Wikipedia

202 citations · 451 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2026

Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression

T. Bauer, W. P. Kegelmeyer, E. Begoli +15

This article presents a structured framework of behavioral indicators that may signal progression toward potentially catastrophic threats from artificial intelligence systems. We a…

cs.HC2025

Measuring skill-based uplift from AI in a real biological laboratory

Ethan Obie Romero-Severson, Tara Harvey, Nick Generous +1

Understanding how AI systems are used by people in real situations that mirror aspects of both legitimate and illegitimate use is key to predicting the risks and benefits of AI sys…

cs.CY2025

Preserving security in a world with powerful AI Considerations for the future Defense Architecture

Nicholas Generous, Brian Cook, Jason Pruet

Advances in AI threaten to invalidate assumptions underpinning today's defense architecture. We argue that the current U.S. defense program of record, designed in an era before cap…

stat.AP2020★ 4 cited

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…

cs.CY2018★ 67 cited

Epidemiological data challenges: planning for a more robust future through data standards

Geoffrey Fairchild, Byron Tasseff, Hari Khalsa +5

Accessible epidemiological data are of great value for emergency preparedness and response, understanding disease progression through a population, and building statistical and mec…

q-bio.QM2016★ 1 cited

A globally-applicable disease ontology for biosurveillance; Anthology of Biosurveillance Diseases (ABD)

A. R. Daughton, R. Priedhorsky, G. Fairchild +7

Biosurveillance, a relatively young field, has recently increased in importance because of its relevance to national security and global health. Databases and tools describing part…

q-bio.PE2014★ 177 cited

Forecasting the 2013--2014 Influenza Season using Wikipedia

Kyle S. Hickmann, Geoffrey Fairchild, Reid Priedhorsky +4

Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy…

cs.SI2014★ 202 cited

Global disease monitoring and forecasting with Wikipedia

Nicholas Generous, Geoffrey Fairchild, Alina Deshpande +2

Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monito…