Throughout the pandemic, front-line healthcare workers and public health officials have been taxed with making difficult decisions about where to expend their finite resources, like beds, test-kits, and eventually vaccines. Dr. James Hughes is an assistant professor in St. Francis Xavier University’s department of computer science. Listen as he explains how his research team is using artificial intelligence to help public health officials answer the question “Who should we vaccinate first?” Find our transcript here: https://researchns.ca/beyondresearch-coding-covid19-computer-scientists-create-vaccination-strategies-using-ai/  In Season 1, Episode 8 – Coding COVID-19: Computer Scientists Create Vaccination Strategies Using A.I., we cover:  0:51 – How the COVID-19 pandemic shifted focus of applied AI work3:59 – Using AI to discover and investigate new strategies for COVID-19 testing and treatment5:56 – Where did this research fit with the announcement of Pfizer and Moderna vaccines8:01 – How could this work be used in rolling out vaccines12:36 – Can social networks be understood using AI?15:43 – Differences between existing modelling and this modelling19:30 – Next steps for the tool Thank you to our guest: Dr. James Hughes is an assistant professor in St. Francis Xavier University’s department of computer science. His research team is leading a study that will use artificial intelligence (AI) to select best strategies for COVID-19 vaccination, testing, and treatment in Nova Scotian communities. The Beyond Research Podcast is produced by Podstarter. It is available wherever you get your podcasts.  If you like this episode, be sure to hit the subscribe button and leave us five stars. You can also follow us on social:Instagram: @beyondresearchpodcastX: @beyondrpodcastFacebook: Beyond Research Podcast

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