Category: Papers
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Sukrit Venkatagiri selected as Rita Allen Misinformation Forum Graduate Fellow
Congratulations to Crowd Lab Ph.D. student Sukrit Venkatagiri on his selection as one of 12 Graduate Student Fellows of the Rita Allen Foundation’s Misinformation Solutions Forum, which took place in October 2018 in Washington, DC. As a Graduate Fellow, Sukrit received a travel grant to attend the Forum and co-authored (with Amy Zhang of MIT)…
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Article accepted for IEEE TVCG
Maoyuan Sun, assistant professor of computer and information science at UMass-Dartmouth, recently published an article, titled, “The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs,” in the journal IEEE Transactions on Visualization and Computer Graphics (TVCG). The co-authors are Jian Zhao, Hao Wu, Dr. Luther, Chris North, and Naren Ramakrishnan.…
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Paper accepted for IJCAI 2018
Our paper on geolocating images using crowdsourcing and diagramming was accepted for the International Joint Conference on Artificial Intelligence (IJCAI 2018) in Stockholm, Sweden. Dr. Luther will give the presentation. Congratulations to co-authors and Crowd Lab alumni Rachel Kohler and John Purviance!
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Paper accepted to CHI 2018 Sensemaking workshop
Our paper, Crowdsourcing Intelligence Analysis with Context Slices, was accepted to the CHI 2018 Sensemaking in a Senseless World workshop in the most competitive long presentation category (21% acceptance rate). Congratulations to Crowd Lab co-authors Tianyi Li (Ph.D. student) and Asmita Shah (undergraduate researcher), as well as Tianyi’s co-advisor, Dr. Chris North. Dr. Luther gave the…
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Paper accepted for CHI 2018
Our full paper on CrowdLayout, a system that uses crowdsourcing to design better layouts of biological network visualizations, was accepted for the CHI 2018 conference in Montreal, Canada. The acceptance rate for this top-tier HCI conference was 26% (of 2,590 submissions). Congrats to Crowd Lab alumni Divit Singh and Lee Lisle, and collaborator Dr. T.M.…
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Notable Paper Award at HCOMP 2017
Our paper on crowdsourced image geolocation and diagramming won the Notable Paper Award at HCOMP 2017. Congrats to Crowd Lab alums Rachel Kohler and John Purviance, co-authors of the paper, for this recognition. In the photo above, Dr. Luther receives the award certificate on behalf of his co-authors from Adam Kalai and Steven Dow (HCOMP…
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GraphSpace published in Bioinformatics journal
Our work on GraphSpace, an online hub where scientists can share network data, was published in Bioinformatics journal. The title of the article is, GraphSpace: stimulating interdisciplinary collaborations in network biology. The authors include Dr. Luther, his collaborator Dr. T.M. Murali, and Crowd Lab alum Divit Singh. Here’s the abstract for the article: Networks have…
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Paper accepted for GroupSight workshop at HCOMP 2017
Our paper on GroundTruth, a system that allows experts to collaborate with crowds on image geolocation tasks, was accepted for the second GroupSight workshop at HCOMP 2017. Congratulations to Crowd Lab alumni Rachel Kohler and John Purviance, co-authors on the accepted paper. Here’s the abstract for the paper: Geolocation, the process of identifying the specific…
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Paper accepted for HCOMP 2017
Our full paper on using crowdsourcing and diagramming to support image and video geolocation was accepted for the HCOMP 2017 conference in Québec City, Canada. Only 29% of paper submissions were accepted for this competitive crowdsourcing conference. Congrats to MS Computer Science alumna Rachel Kohler and BS Computer Science alumnus John Purviance, the first and…
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Paper accepted for HCOMP 2016 GroupSight workshop
Our study of novice and expert image geolocation techniques was accepted for the GroupSight workshop on human computation for image and video analysis at HCOMP 2016 in Austin, Texas. Congrats to Ph.D. student Sneha Mehta, the lead author of the paper.