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Analyzing trends on Twitter and Google can help predict vaccine scares that can lead to disease outbreaks, according to a study from the University of Waterloo.

In the study, researchers examined Google searches and geocoded tweets with the help of artificial intelligence and a mathematical model. The resulting data enabled them to analyze public perceptions on the value of getting vaccinated and determine when a population was getting close to a tipping point.

The Velocity Fund is a non-equity grant program for startups. Each year Velocity produces three pitch competition events where the Velocity Fund awards at least $115,000 in money to winners. To read more about the Velocity Fund Finals, please visit their website.

At the Velocity Fund Finals, Spring 2015, the following students from the Math faculty pitched their ideas:

The Waterloo International Genetically Engineered Machine (iGEM) team, composed of students from the Faculties of Mathematics, Engineering, Science, and Applied Health Sciences, won a gold medal for designing Staphylocide. Staphylocide is a synthetic bacterium that is designed to turn off the antibiotic-resistance gene in Methicillin-Resistant Staphylococcus Aureus (MRSA), making it responsive to treatment again.

Patrick Hannigan (4A Computer Science (CS)), William Zhou (3B CS), Edward Yang (4A CS) and Daniel Yaroslavski (4B CS), were given the opportunity to showcase their learnings in front of peers and faculty along with a brief pitch of their ventures today at an Enterprise Co-op (E-Co-op) presentation session.