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HDSR's Xiao-Li Meng on Biased Vaccine Surveys

December 9, 2021
When Delphi-Facebook and the U.S. Census Bureau provided estimates of COVID-19 vaccine uptake last spring, their weekly reports drew on responses from as many as 250,000 people.

The data sets boasted statistically tiny margins of error, raising confidence that the numbers were correct. But when the Centers for Disease Control and Prevention reported actual vaccination rates, the two polls were off — by a lot. By the end of May, the Delphi-Facebook study had overestimated vaccine uptake by 17 percentage points — 70 percent versus 53 percent, according to the CDC — and the Census Bureau’s...

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Trust in Science Round 2 Funding Awarded

July 28, 2021

Congratulations to Matthew Baum, Elena Glassman, Hanspeter Pfister, and Minttu Rönn, recipients of recent awards from the HDSI Trust in Science Fund. You can read more about their projects, and our previous awards, here.

 

Harvard University and Elsevier sign Master Data Use Agreement

May 5, 2021

We are delighted to announce that Harvard University and Elsevier have signed a Master Data Use Agreement (DUA) that will facilitate access by Harvard researchers to a large multidisciplinary and multimodal collection of  Elsevier owned or managed datasets, including full-text article content, citation data, and curated data from different domains, including pharmacology and engineering.  Under the terms of the Agreement, Harvard researchers will have the opportunity to access these datasets for research purposes at no cost.   

The...

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New Video: Understanding What it Takes to Make Science Trustworthy

April 28, 2021

The recently launched Trust in Science Project, a collaboration between the Harvard Data Science Initiative and the Program on Science, Technology & Society, brings together faculty across the University to explore what it takes to make science trustworthy, from trusting scientific claims, to the processes of science, to the ways that science guides decision making.... Read more about New Video: Understanding What it Takes to Make Science Trustworthy