All available resources need to be brought to bear on the novel coronavirus COVID-19. To what extent can digital technology help? What risks are there in using big data to combat COVID-19, and what policies can mitigate any limitations that these risks impose?
Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads. The COVID-19 outbreak has triggered intense work on such applications, but, how much time is needed before the results will be visible?
More information on the topic can be found, on the role of AI and big data in fighting the corona crisis.
This event was online only.
Artificial intelligence in the fight against COVID-19 by Georgios Petropoulos
Big data versus COVID-19: opportunities and privacy challenges by J. Scott Marcus
MIT Project: Social Distancing in a Pandemic
Private Kit: Safe Paths; Privacy-by-Design Contact Tracing
Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic by Alex Berke, Michiel Bakker, Praneeth Vepakomma, Ramesh Raskar, Kent Larson, Alex `Sandy' Pentland
Restarting the Economy and Avoiding Big Brother: We need to know who is immune and employ them in the front line by Alex Pentland
Data Cooperatives: Digital Empowerment of Citizens and Workers by Pentland, A., Hardjono, T., (MIT Connection Science), Penn, J., Colclough, C., (UNI Global Union), Ducharme, B., Mandel, L. ( MIT Federal Credit Union)
How to manage the hidden risks in remote work by Dylan Walsh