History

IBC's academic research roots can be traced back to the Artificial Intelligence (AI) Lab at the University of Arizona. IBC's co-founders, Dr. Hsinchun Chen, Dr. Daniel Zeng, and Mr. Chunju Tseng, are all active or alumni members of the AI Lab.

Bioportal A recent project at the AI Lab of direct relevance to IBC is the BioPortal™ Research Prototype project, a joint research effort of the AI Lab, and several state health departments and universities. This Prototype project was initially funded
from October 2003 to October 2004 by the NSF through its Digital Government program, with funding contributions from the DHS and Intelligence Technology Innovation Center (grant #EIA-9983304 Supplement), to fulfill the recommendation from a federal inter-agency committee called the Infectious Disease Informatics Working Committee (IDIWC) to develop a prototype infectious disease informatics infrastructure.  

AZ-BioPortalThe objective of the BioPortal™ Research Prototype effort was to demonstrate and assess the information technology for cross-jurisdictional infectious disease information sharing, analysis, and visualization. Upon its successful completion in 2004, a 5-year NSF grant, through its highly competitive Information Technology Research Program (grant #IIS-0428241), was secured to fund further long-term Infectious Disease Informatics technical research from the perspectives of data analysis and system scalability. Since 2005, several additional exploratory research grants (from the State of Arizona, DHS, and Kansas State University) have been awarded to branch out from the main BioPortal™ Research Prototype effort to study animal and human disease syndromic surveillance.

IBC Logo IBC was founded to commercialize the technology developed by the BioPortal™ Research Prototype effort to meet the real-world challenges facing the public health community in a broad range of application settings. It has also been our intent to leverage our significant real-world experience in developing public safety information systems to explore messaging and information sharing between public health and public safety systems for both public health and biosecurity event monitoring and management.