At times of public health crisis, time and information accuracy are of the utmost essence. The purpose of this research effort is to apply a data driven approach to study federal agency announcements about public health food and drug safety risks, the rates at which these announcements are received and acted upon by the public. We then take the step of using commercially available AI and complementary technology tools to put this data into action, for analytical insights.
The US government asserted its authority in market regulation with the recently rolled out trade policies for importers of goods and services. Foreign authorities have reacted to these policies with their own regimen of tariffs that US exporters need to meet. Besides the regulatory authority for movement of goods and services across the border, the presence of, and removal of certain products from market circulation is another vital authority that government has exercised its authority.
Products are presumed to be on market when the public either have these goods in their possession or can access or procure them from commercial sources online and offline. Whenever risks posed to the marketplace are discovered by the regulating entities, announcements are made about the nature of the risks, and steps to be taken.
How effective are the current mechanisms and are these programs serving the intended goals? Are there any public awareness programs abroad that serve as model examples for the success of such programs? We will research historical data and employ visualization tools like Tableau, Looker, and others to obtain insights from the data available, and propose steps to improve the system for the future.
We expect a detailed report publication to be made available as an outcome of this research. Some of the insights from the program will be implemented in an AI tool in our Google cloud platform (GCP) enabled product risk analytics engine.
Target completion in 2025
