Apr 10, 2020
Jvion has provided an online mapping tool to view regions of the United States and see the areas most vulnerable to issues related to COVID, a “COVID Vulnerability Map.” A video clip from Tectonix uses anonymized crowdsourced data to show how Spring Breakers at one Fort Lauderdale beach spread back across the United States, to demonstrate the ease with which a virus *could* spread. A new initiative from Boston Children’s Hospital and Harvard Medical School seeks to create a real-time way to get crowdsourced inputs on potential COVID infections, with “COVID Near You.” Kinsa, maker of smart thermometers, uses its information in an attempt to show county-level spread of COVID-19. On 23 March, CIFAR convened an International Roundtable on AI and COVID-19, which had over 60 particpants; among other points, the ground noted the stark gap between data that is available to governments and what is available to epidemiologists and modelers. C3.ai Digital Transformation Institute, a newly formed research consortium dedicated to accelerating applications of AI, seeks research proposals for AI tools to help curb the effects of the coronavirus. The European Commission is seeking ideas for AI and robotic solutions to help combat COVID-19. The New York Times builds the first U.S. county-level COVID-19 database. Complexity Science Hub Vienna compiles a dataset of country- and U.S. state-policy changes related to COVID-19. The Stanford Institute for Human-Centered AI convenes a virtual conference on 1 April on COVID-19 and AI. And the ELLIS Society sponsors an online workshop on COVID-19 and AI. Finally, AI with AI producer John Stimpson interviews Dr. Alex Wong, co-founder of Darwin.AI and Euclid Labs, on COVID-Net, an open-sourced convolutional neural network for detecting COVID-19 in chest x-rays.