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Group of Spelman Students

Event Detail

Can Data Science Predict Who Gets COVID-19 Next?

Friday, April 9, 2021 | 12 p.m. - 1 p.m.

    Location
  • Zoom

Monica JacksonNew York City was an epicenter of COVID-19. By July of 2020, there were 212,295 confirmed cases and 18,408 deaths related to COVID-19 in NYC. To investigate predictors of COVID-19 cases and death rates in NYC, Dr. Monica Jackson, interim deputy provost and dean of faculty at American University, led a summer research project for undergraduate students. The data analysis included race, health and environment characteristics for NYC zip codes, neighborhoods and boroughs, along with NYC government’s reported case and death rates by zip code.

Dr. Jackson will show how data science can reveal the impact of sociodemographic and environmental factors to predict COVID-19 cases in NYC and how to lead student research that results in a published, peer-reviewed article.

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This event is part of an ongoing lecture series "The Future is Intersectional: Black Women Interrogating Technology," organized by the Spelman College Center of Excellence for Minority Women in STEM, in collaboration with the Atlanta University Center Data Science Initiative, UCLA Center for Critical Internet Inquiry and Mozilla.


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