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Droughts & Floods: Making Sense of Data During a Pandemic
As part of George Mason University's Summer Workshop on Pandemics and Global Health Security, infectious disease epidemiologist, Jessica Malaty Rivera will discuss how The COVID Tracking Project stepped in to fill the enormous data reporting during the COVID-19 pandemic. She'll cover the importance of data quality, data infrastructure, and the critical work of increasing science literacy.
How Inclusive Science Communication Builds and Keeps Public Trust
Trustworthiness is achieved when people develop supportive and equitable relationships, and this is especially critical in matters of health. Jessica Malaty Rivera argues that the responsibility for building trust of medical professionals among communities of color must shift to reduce the risk of isolating more people in cycles of fear, shame, and targeted misinformation.
Jessica Malaty Rivera is an infectious disease epidemiologist and science communicator. She earned her MS in Emerging Infectious Diseases from the Georgetown School of Medicine and has dedicated the last 15 years of her career to disease surveillance research, public health policy, and vaccine advocacy. Her specialty is in translating complex scientific concepts into impactful, judgement-free, and accessible information for a diverse audience.
Throughout the pandemic, she served as the Science Communication Lead for The COVID Tracking Project at The Atlantic. Currently, she is a Research Fellow at Boston Children's Hospital Innovation & Digital Health Accelerator, an Infection Preventionist at Netflix, a Senior Advisor to the Pandemic Prevention Institute at the Rockefeller Foundation, and an expert contributor for NBC Bay Area, CNN, PBS, and BBC. Jessica was recently named one of the "World’s 50 Greatest Leaders" by Fortune Magazine for her work on COVID-19 research and data communication. Between her day jobs and being a full time mother to two little kids, she also dedicates several hours a week to promoting science literacy and debunking misinformation on social media.
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