Author: Kurt Luther
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Civil War Photo Sleuth in TIME
Our Civil War Photo Sleuth project was featured in a TIME article by Olivia Waxman, “How Artificial Intelligence Is Helping Identify Thousands of Unknown Civil War Soldiers.” The article includes interviews with several prominent CWPS users showing how the software has benefited them by identifying unknown soldiers in Civil War-era photos. Congrats to Vikram Mohanty,…
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Presented at University of Maryland CASCI Seminar
Dr. Luther gave an invited presentation at the Center for the Advanced Study of Communities and Information (CASCI) at the University of Maryland on November 19, 2019. The title of his presentation was, “Crowd Sleuths: Solving Mysteries with Crowdsourcing, Experts and AI.” The abstract was as follows: Professional investigators in fields such as journalism, law…
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Presented at AAAI Fall Symposium on Artificial Intelligence and Work
Dr. Luther gave an invited presentation at the AAAI Fall Symposium on Artificial Intelligence and Work on November 8, 2019. The title of his presentation was, “Solving AI’s last-mile problem with crowds and experts.” Dr. Luther’s position paper accompanying the presentation is available online. The abstract for the paper is as follows: Visual search tasks,…
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Best Poster/Demo Award at HCOMP 2019
The Crowd Lab won the Best Poster/Demo Award at HCOMP 2019! Congratulations to Crowd Lab postdoc and team leader Jacob Thebault-Spieker, Ph.D. student Sukrit Venkatagiri, and undergraduate researchers David Mitchell and Chris Hurt. Their poster/demo was titled, “PairWise: Mitigating political bias in crowdsourced content moderation.” The Crowd Lab also won the Best Poster/Demo Award at…
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Presented on the future of AI at VT media event
Dr. Luther and Dr. Sylvester Johnson, director of the Center for Humanities at Virginia Tech, co-presented on “The future of AI and what it means for humans” to local journalists at a media event called “On the Record with Virginia Tech” on October 17, 2019. The press release for the event described it as follows:…
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Presented on photo sleuthing at The Washington Post
Dr. Luther gave an invited presentation to an audience of engineers and journalists at The Washington Post on October 23, 2019. The title of his talk was, “Photo sleuthing: Helping investigators solve photo mysteries using crowdsourcing and AI.” The abstract for the talk was: Journalists, intelligence analysts, and human rights investigators frequently analyze photographs of…
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Article published in Human Computation journal
Our article, Read-Agree-Predict: A crowdsourced approach to discovering relevant primary sources for historians, was published in Human Computation Journal. Congratulations to Crowd Lab Ph.D. alumnus Dr. Nai-Ching Wang, who led the paper, along with co-authors Dr. David Hicks (Education) and Dr. Paul Quigley (History). The abstract for the article is: Historians spend significant time looking…
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Presented at Machine Learning + Libraries Summit at Library of Congress
Dr. Luther was invited to present at the Machine Learning + Libraries Summit held on September 20, 2019 at the Library of Congress in Washington, DC. The title of his presentation — which was allocated extra time as a featured project — was, “Civil War Photo Sleuth: Combining Crowdsourcing and Face Recognition to Identify Historical…
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Two posters/demos accepted for HCOMP 2019
The Crowd Lab had two posters/demos accepted for AAAI HCOMP 2019! Both of these papers involved substantial contributions from our summer REU interns, who will be attending the conference at Skamania Lodge, Washington, to present their work. It’s QuizTime: A study of online verification practices on Twitter was led by Crowd Lab Ph.D. student Sukrit…
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Paper accepted for HCOMP 2019
The Crowd Lab had a paper, titled, “Second Opinion: Supporting last-mile person identification with crowdsourcing and face recognition,” accepted for the upcoming AAAI Human Computation and Crowdsourcing (HCOMP 2019) conference at the Skamania Lodge in Stevenson, WA, USA, October 28-30, 2019. The conference had a 25% acceptance rate. Ph.D. student and lead author Vikram Mohanty…