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The Growing Role of AI in the Post-Vaccine World
A common theme that surrounds the pandemic and post-vaccine world is the idea of adaptability. Businesses, schools, and families changed rapidly for the sake of everyone’s health and safety. This meant avoiding contact and shifting into virtual environments — an option that’s only possible in the... Read more
Fake News: Where Do We Stand in the Fight Against Disinformation
If you’re familiar with conspiracy theories regarding COVID-19 vaccines, Barack Obama’s birthplace, or Hillary Clinton’s ties to “Pizzagate”, you’ve experienced only a fraction of contemporary disinformation. With the rise of social media and its capacity for viral posts and fake news, disinformation campaigns have become a common... Read more
The Psychic Syndrome: How the Data Science Community Forgot About the Data
When scrolling through social media in March of this year, I could not help but notice the overwhelming amount of data science projects on COVID-19. At some point, it seemed like all LinkedIn or Twitter consisted of were forecasts of how the pandemic might play out... Read more
Why Personal COVID-19 Vaccination Data Should Remain Private
Earlier this month, it was reported that the Centers for Disease Control and Prevention (CDC) instructed states to sign data use agreements that commit them for the first time to sharing personal information—names, birth dates, ethnicities, and addresses—in existing registries with the federal government. This comes... Read more
COVID Tracking Project Enhancements to Johns Hopkins Case/Fatality Data
Like many analytics geeks, I’ve been tracking data on the Covid pandemic since early spring. My main source is the Center for Systems Science and Engineering at Johns Hopkins University, with files for download made available at midnight Central time. I’ve established a pretty significant R infrastructure in... Read more
Retraining Machine Learning Models in the Wake of COVID-19
Originally posted here by Doordash, with permission. The advent of the COVID-19 pandemic created significant changes in how people took their meals, causing greater demand for food deliveries. These changes impacted the accuracy of DoorDash’s machine learning (ML) demand prediction models. ML models rely on patterns... Read more
Julia for Management/Analysis of Johns Hopkins COVID Data
Like many analytics geeks, I’ve been tracking data on the Covid pandemic since early spring. My source is the Center for Systems Science and Engineering at Johns Hopkins University, with files for download made available at midnight Central time. I’ve established a pretty significant R infrastructure in JupyterLab to... Read more
AI and the Fight Against Covid-19
The ever-expanding capabilities of AI evoke fear in some quarters. On one side you have prominent AI researchers, like Stuart Russell, warning about impending disaster, and on the other, you have equally notable scholars, like Andrew Ng, offering a more tempered view. I support the notion... Read more
Gain Insight Into the COVID-19 Pandemic with the HPCC Systems Data Lake Platform
This open-source project features a community contribution cluster which can be made available to ODSC followers. The severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) has taken around 930,000 lives and infected more than 29 million people worldwide so far. The COVID-19 pandemic is still ongoing, and... Read more
Building a COVID-19 Dashboard with Tableau
We all are experts in telling stories with words and sentences. But, have you ever heard of telling stories with data? This sounds intriguing. Well, it sounded the same for me too.  Being able to tell stories with data is a skill that is becoming ever... Read more