Luddy's COVID-19 Research

Since its establishment 20 years ago, the Luddy School of Informatics, Computing, and Engineering has built a reputation for developing innovative solutions to solve real-world problems. This history has placed the Luddy School in a unique position to take a leadership role as we battle the spread of coronavirus and COVID-19.

Researchers at the Luddy School are already engaged in multi-faceted efforts to combat the virus and the disease. Some of those efforts include:

HPC and Cyberinfrastructure support

Support for high-performance parallel computations for simulations and data analytics for both COVID-19 propagation and possible drug candidates is being provided by the Luddy Digital Science Center and Professors Judy Qiu and Geoffrey Fox. This uses major computational resources at DoE and NSF facilities, and is part of a collaboration with the University of Virginia, Rutgers University, Stanford University, and others.

Find out more about IU's support


CTIL providing analytics and data science for COVID-19 response

The Crisis Technologies Innovation Lab is providing analytics and data science to help with the response to COVID-19 through a collaboration with the IU Business Research Center, Disaster Technologies, Microsoft, FEMA, and federal and state emergency managers.

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Modeling COVID-19 panic diffusion dynamics

Machine learning techniques are providing generalizable insights for different research domains and are allowing Xiaozhong Liu, Johan Bollen, and YY Ahn to create models of COVID-19 panic diffusion dynamics and comparing various panic diffusion models at different stages of disease transmission and awareness.

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Makerspaces help production of medical PPE

The FAMES Lab and Luddy Makerspaces are using their resources to support the creation of personal protective equipment for medical personnel fighting COVID-19 in Indiana. The effort is being led by Alexander Gumennik and Christian McKay.

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COVID-19 dashboard

A real-time visualization of COVID-19 confirmed cases and fatalities worldwide, developed by YY Ahn, are compared to the fatality rates over time to previous disease outbreaks, such as the 1918 Flu Pandemic, SARS, and the Bubonic Plague.

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