The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Panel: Responsible Data Science in the Fight Against COVID-19 - #370
Apr 29, 2020
Join Rex Douglass, a computational social scientist, Rob Munro, a crowdsourced data expert, Lea Shanley, a champion of open science, and Gigi Yuen-Reed from IBM as they tackle how data science can ethically combat COVID-19. They dive into the perils of misinformation, the evolution of peer review amidst the pandemic, and the critical need for clear communication in public health. Discover their insights on the collaboration between scientists and citizens to enhance data quality and tackle the ongoing challenges in health crises.
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Collaborate With Experts
- Collaborate with domain experts like epidemiologists and virologists when working with COVID-19 data.
- Recognize that well-intentioned data scientists can cause unintended harm if they lack domain expertise.
Ebola Misinformation
- During the Ebola outbreak, inaccurate predictions by data scientists led to increased deaths from treatable illnesses.
- People avoided hospitals due to fear, highlighting the danger of misinformation.
MERS Data and Persecution
- In Saudi Arabia, tracking social media posts about hospital numbers during the MERS outbreak raised ethical concerns.
- The project was halted due to potential persecution of those disagreeing with the government.