CS 5150
Software Engineering
Fall 2012

Project Suggestion: Digital media platform for improving food safety


Digital media platform for improving food safety

Client

Felicia Pitici
fp42@cornell.edu

Objective

We propose a digital media platform specialized in real-time monitoring of food safety that will minimize the delays between outbreak detection and interventions by industry and central authority, while accounting for existing food safety and public health policies. The information will be sourced from national and local media and from social media sites and it will also be linked to digital archives in the public domain or at governmental agencies. Data will be processed with smart mining algorithms which make connections and seek context relevant elements, in a machine learning approach. This consolidation of media sources, regulations, and case materials will be an unprecedented opportunity to process and yield relevant information that expedites the actions in response to outbreaks. With specific amendments on need, security, and privacy, this linked database will provide real-time alerts on food safety to businesses, government agencies, and individual citizens. The information will be channeled through an access app for mobile devices and will include interactive charts for monitoring food safety.

Digital archiving

The advent of digital innovations in devices, formats, and media has also brought in chaos in the more traditional fields. While food safety issues have been documented with high responsibility in research papers, news, regulations, and administrative rules, the decision making process still involves delays mainly due to parsing such a large, diverse, and delocalized amount of information. Building on this existent information, we propose to consolidate and link the sources using fast and efficient algorithms that further enable optimal actions. Automated searches will be tailored for each case of pathogen contamination and food category, and will also monitor the flow in the food supply chain to locate and analyze potential outbreaks.

Conclude

We would like to think about this platform as the “Bloomberg news” for food safety specialists and industry observers, and, through an adequate communication filter, the news food safety channel for consumers.

Notes

Our model and source of algorithms for the linked digital media archive could be the joined research on Linked Legal Data by computer scientists and law faculty at Cornell. Researchers in the Department of Population Medicine and Diagnostic Sciences are currently developing complementarily tools for risk assessment analysis of food safety. By integrating this quantitative module with the proposed digital media platform we will also provide a package for the food safety specialists who work in government and industry agencies.

[ Home ]