Interesting links and useful materials
Fighting Covid with AI
Epidemic models
The spreading of covid-19 can be described by different epidemic models. Remembering that “all the models are wrong but some are useful”, in the following you can find accessible materials to better understand the role of models in the fight against covid-19
- Video “How to Tell If We’re Beating COVID-19” by minutephysics
- That is based on the post “COVID-19 dynamics with SIR model”, which gets the data collected in this github
- But be careful, you can find many misleading results around: “Epidemic Modeling 101: Or why your CoVID-19 exponential fits are wrong”
- Crucially to feed the more advanced model, is the contact networks of people: “Mapping the Social Network of Coronavirus”
In fact, the success of South Korea or Singapore to contain the epidemic may be explained because of very accurate contact tracings (among other factors): Coronavirus cases have dropped sharply in South Korea. What’s the secret to its success?
Tracking and Analytics
A.I. and machine learning methods are used by many international research institutions and companies to help health experts address the COVID-19 pandemic. These initiatives are certainly related to data-driven epidemic models and outbreak prediction, but there are also several attempts and some success stories in genome sequencing, health care management, tracking and drug development.
“How people are using AI to detect and fight the coronavirus”
What is the role of AI tracking in our future?
“This is what it will take to get us back outside” (from MIT Review)
A.I. have been used to track movement ranges in cities, as well as to compute a “social connectedness index” which can help epidemiologists forecast the likelihood of disease spread and support hospitals to allocate resources
AI, Justice, and Common Good
The average narrative pits law against A.I. Conscious of the potentials of A.I., societies have attempted to constrain it, mostly through privacy regulations. We think there is much more to say and to learn. Marrying A.I. and law may help both. If A.I. complies with legal imperatives such as dignity, fairness, and equality, it will help societies thrive in substantial ways. If law opens up to the novelties of A.I., it will benefit everyone without losing contact with life.
Guest and past virtual conferences
We need to join forces to fight the common enemy! Here you can find other “guest” events focusing on how AI can be used to limit the spreading of Covid-19