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Interdisciplinary Collaboration Grants Program

The Division of Research established the Interdisciplinary Collaboration Grants (ICG) Program to provide funds to facilitate the development of collaborations at Binghamton University. This program is for investigators who seek to enhance their research opportunities through collaboration and may include projects that represent a new research agenda. Proposals from all areas of scholarship are encouraged.


Two projects received funding in the program's 2021-2022 round of awards:

"Spatiotemporal Modeling of Human Mobility and Contagion Dynamics for COVID-19"

Principal Investigators and Departments: 

Changqing Chen (Systems Science and Industrial Engineering) and Eva Wu (Electrical and Computer Engineering) 

To tame the novel coronavirus pandemic, unprecedented pullback in economic and social activities has been imposed globally, which has inflicted immense economic toll and jeopardized societal wellbeing. Public compliance with the restrictions diminishes as fatigue sets in. This collective exhaustion brings on a surge in human mobility, which could in turn transmit the pathogen into otherwise unexposed areas, and the containment measure can rapidly succumb to human mobility not accompanied by adequate precaution. This has posed a tremendous quandary for effective optimal intervention. Thus, this project aims to (1) delineate the connection between spatiotemporal human motion and the dynamical geographical prevalence of the contagion; (2) conduct uncertainty quantification in contagion modeling via assimilation of the reported infection data, which will facilitate the design of target-oriented intervention. This project could potentially increase the preparedness of the whole society against future global pandemic disruptions. It has broad applications in optimal design in traffic networks considering human mobility and the optimal control in power grid networks with spatiotemporal sensing data.

 

"COVID Breathalyzer For Detecting Virus Spreading from Humans to Humans"

Principal Investigators and Departments:

Kaiming Ye (Biomedical Engineering), Chuan-Jian Zhong (Chemistry), and Huiyuan Guo (Chemistry)

Extensive clinical studies showed that the breath exhaled from COVID patients is one of the major routes of COVID spreading throughout the communities. Aerosols exhaled from these patients through breath contain million droplets of viruses that are highly contagious. While various COVID testing technologies have been developed, very little has been done to develop sensors that can detect the aerosolized viruses from COVID patient’s breath. The lack of such testing impairs our capability of constraining virus spreading from humans to humans. We herein propose a highly innovative COVID breathalyzer for detecting aerosolized SARS-Cov-2 from the breath. The device will be configured as a point-of-care test device capable of identifying virus carriers from the crowds, preventing the silent transmission from humans to humans. The device will be tested and validated first using a surrogate SARS-Cov-2 and SRAS-Cov-2 in a clinical setting eventually.

Last Updated: 11/11/21