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Suppose you’re an archivist, librarian, or historian who’s trying to document and preserve for posterity a narrative of the COVID-19 pandemic or the ongoing Black Lives Matters protests. You’ll naturally be gathering documents from the web, and with tools available today it won’t be difficult to accumulate thousands or even millions of relevant records. How can you make sure that a scholar down the road can actually use the material that you’ve collected?

À¶Ý®ÊÓƵ-based Inductiv Inc., an AI start-up that uses machine learning to automate the task of identifying and correcting errors in data, has been bought by tech giant Apple.

Since the COVID-19 pandemic began, researchers and clinicians have rushed to understand the available treatments and procedures to mitigate this rapidly growing threat to human health. The sheer volume of studies published on COVID-19 — in countries spanning the globe — as well as lessons learned from prior epidemics and pandemics, simply cannot be gathered and assessed quickly enough using traditional manual methods during this time of crisis.

Cheriton School of Computer Science Professor has spearheaded the creation of a dedicated search engine for those who are engaged in the fight against COVID-19.

The following is an article written by , a faculty member of the Data Systems Group and the Thomson Reuters Research Chair in Data Cleaning from Theory to Practice.

Cheriton School of Computer Science Professors Ìý²¹²Ô»åÌý, Management Sciences Professor , along with their former graduate students ,Ìý,ÌýÌý²¹²Ô»åÌý

Xi He joined the David R. Cheriton School of Computer Science as an assistant professor in March 2019. She received her BS in computer science and applied mathematics from the University of Singapore in 2012 and her PhD in computer science from Duke University in 2018. Her research is on privacy and security for big-data management and analysis.

Technology-assisted review (TAR) — an automated process used to select and prioritize documents for review, pioneered by Ìý²¹²Ô»åÌý — was used for the first time by a state archive to classify emails from the administration of former Virginia Governor Tim Kaine for release to the public.

Recent computer science PhD graduate and postdoctoral fellow Andrew Kane, MMath graduate Dallas Fraser, and Distinguished Professor Emeritus Frank Tompa have received the best paper award at DocEng 2018, the .

As Judge Brett Kavanaugh faces the U.S. Senate Judiciary Committee during the second day of his Supreme Court confirmation hearings, debate rages on Capitol Hill if sufficient time is available for senators to substantially review the 42,000 documents released the night before his hearing was scheduled to begin concerning his time in the George W. Bush White House.