Human beings have fought against pandemics for centuries. With millions of infections, the ongoing pandemic of COVID-19 has seriously disrupted many aspects of people’s life and caused
hundreds of thousands of deaths around the world. Many researchers are studying the novel coronavirus and its impacts around the clock. In a short period of time, there have been a large number of studies published by various parts of the biomedical and health
communities addressing the pandemic from the perspectives of biology, medicine, as well as epidemiology and public health.
The purpose of this special issue is to reach out to the broader scientific community, including those who come from management, social science, policy and/or MIS settings, as well as those who come from computer science, informatics, and other information
technology-oriented settings. We seek your contributions that may help the world respond and adjust to pandemics and disruptions they cause. We are particularly interested in research that builds on recent rapid advancements in applying AI and Data Science
across many application and domain areas.
The devastating COVID-19 pandemic has resulted in the creation of a large amount of related data, including case tracking data, hospital admission data, news and social media data, human mobility data, as well as data reported in scholarly articles. Many of
these COVID-19 related datasets include important relational, temporal and/or geographical features. The availability of such rich datasets provides enormous opportunities for researchers to better understand, monitor and forecast the pandemic.
This special issue seeks articles that leverage AI and Data Science to better manage risks and disruptions caused by pandemics. Submissions that analyze how pandemics impact business organizations, industry sectors, as well as the economy and society
overall are also welcomed. We especially encourage researchers to put forth innovative and sound ways to plan for or adapt to future pandemics as a result of COVID-19 beyond the immediate near-term horizon.
Topics of interests include, but are not limited to:
Disease diagnosis and tracking
Predictive models for disease spread
Simulations of disease transmissions and interventions
Disease forecasting and surveillance
Awareness of the disease and of personal protections
AI and data science infrastructures for disease surveillance and control
Discovery and management of knowledge about pandemics or infectious diseases
Supply chain management during and/or after a pandemic
The impact of pandemic-related disruptions on business operations and processes
Decision support for enforcing and lifting quarantine measures
Risk assessment and management for the resumption of economic and social activities
All submissions will follow ACM TMIS guidelines (dl.acm.org/journal/tmis/author-guidelines) and submitted through the TMIS portal (mc.manuscriptcentral.com/tmis)
with clear indications for the special issue.
Initial submissions due: Sept 15, 2020
First round of notifications: Nov 15, 2020
Second submissions due: Dec 31, 2020
Final decisions: Jan 31, 2021
For questions and further information, please write to
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