COVID-19

An emergency response team for data?

September 19, 2020

Harvard Data Science Review airs COVID-19 findings

Data science has made key contributions in the battle against COVID-19, from tracking cases and deaths to understanding how populations move during travel restrictions to vaccine design. The Harvard Data Science Initiative is working to support faculty members, students, and fellows in designing and applying the tools of statistics and computer science and creating a community to foster the flow of ideas. The year-old Harvard Data Science Review published a...

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Surgo Foundation launches the Africa COVID-19 Community Vulnerability Index

July 13, 2020

Inspired by their U.S.-based COVID-19 Community Vulnerability Index—the Africa CCVI assesses 751 regions in 48 African countries on their ability to handle the social, economic, and health impacts of a COVID-19 outbreak. It is intended to help government leaders, health officials, researchers, planners and others stay one step ahead of the pandemic—by allowing them to drill down locally and design...

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COVID-19 Death Rates Surge Among Already Challenged Communities

May 18, 2020

Using home addresses and death notices, Harvard resaerchers find that as the death rate increased across Massachusetts it surged nearly 40 percent higher in cities and towns with the largest concentrations of people of color compared to those with the least. The mortality rate increased nearly 14 percent more in municipalities with the most crowded housing compared to those with the least. And in cities and towns with the most poverty, the death rate increased 9 percent more than those with the least poverty.

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Trust in Science and COVID-19 Special RFP

May 11, 2020

Today the Harvard Data Science Initiative is launching a Special RFP for Trust in Science and COVID-19.

The goal of the Special COVID-19 Trust in Science RFP is to enable faculty across Harvard to study issues related to trust in science, broadly construed, in the context of the novel coronavirus pandemic. The HDSI welcomes data-science related proposals from all disciplines that seek to explore issues such as: the credibility of data and data models, the spread of information and misinformation, issues related to communication of scientific findings in a pandemic, data-driven indicators of consensus around scientific findings and recommendations, uptake of recommendations in different communities and national contexts, and the effect and impact of open data on public trust. These are examples only and applicants are encouraged to think broadly.... Read more about Trust in Science and COVID-19 Special RFP

Why Summer Likely Won’t Save Us From the Coronavirus

May 4, 2020

“There are multiple coronaviruses out there that affect our population, and many of them, if not most of them, exhibit a seasonal influence,” Mauricio Santillana (HDSI Competitive Research Awardee), the director of the Machine Intelligence Lab at Boston Children’s Hospital and a researcher on the effects of the weather on coronavirus, told me. “The hypothesis postulated for Covid-19 is that it will have a similar behavior.”...

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