By Chris Welsch
For Bayes Impact, the COVID-19 crisis was a call to arms.
The non-profit organisation has made it its mission to help as many people as possible through data science and artificial intelligence, with the pandemic presenting an immediate challenge.
Just as the lockdown was starting in France, some of its team members saw situations where people had been infected with COVID-19 but did not inform those they had been in contact with, likely spreading the virus further.
“When we interviewed people to understand these behavioural patterns, we learned that the main reason for not notifying people was a combination of not knowing when they were at risk of spreading the virus, not remembering exactly who they had been in contact with, and even not wanting to tell others, as it can be a difficult subject to bring up,” says Bayes Impact’s co-founder and president, Paul Duan.
His team produced a website that makes it easy to identify and notify people you have been in contact with. The site, called Briser la Chaine, or Break the Chain, is voluntary and does not use Bluetooth or GPS technology, meaning that it does not impinge on privacy.