SHANTI at the University of Virginia

News / Latest Posts

Data Science Presidential Fellows Bring Life to Data Research, and Vice Versa

In the News: UVa Data Science Institute‘s Presidential Fellows in Data Science. Founded three years ago, the Data Science Institute has been working to create opportunities for cross-Grounds collaboration in “big data” research. Graduate students across the disciplines are currently working together to resolve real-world problems by finding data-driven solutions.

To read more about these interesting projects, click here.

UVA Researchers Embark on Endless Pursuits

Daniel Pitti’s (Associate Director, IATH) ongoing database project - Social Networks and Archival Context project – is in the news. “Creating an International Database of Historical Social Networks” is one of five exciting, long-range research projects being carried on at UVa presented in this current UVaToday article.

For the complete article, click here.

CCT Special Speaker: Joachim Ganseman

Composition and Computer Technologies Presents:

Joachim Gansemanjoachim ganseman

Vision Lab, Dept. Physics
University of Antwerp, Belgium

Wednesday, November 9, 2016
B11 Old Cabell Hall (aka the VCCM)
(moving to 107 Old Cabell Hall, if necessary)

Abstract: Source separation is one of the classical challenges in audio analysis: given a mixture of sounds, we wish to extract and isolate one or more of the original sound sources. In general, this problem is intractable. However, music scores can give us ample of information to help guide the process of separation: it tells us what instrument should play what note when. In this talk I give a short overview of the existing approaches to score-informed source separation, the different components of such a system, their upsides and downsides, and open problems. I’ll also demonstrate a new approach that is currently still under development, inspired by methods that are used in the domain of remote sensing.

Biography: Joachim Ganseman received B.Sc. and M.Sc. degrees in Computer Science from the University of Antwerp, and is pursuing a Ph.D. degree on the topic of score-informed source separation at the VisionLab of the University of Antwerp. Part of this research has been conducted as visiting scholar at Stanford University’s Center for Computer Research in Music and Acoustics and Queen Mary University of London’s Centre for Digital Music. His academic areas of interests are music information retrieval and machine listening. From 2014 to 2016, he developed the IT systems and new music library catalog of the Royal Conservatory of Brussels. His free time is spent playing lots of piano and getting involved in way too many extracurricular activities for the promotion of Computer Science education in high school.

Hosted by Luke Dahl.

Computer Science Guest Speaker: Ahmed Abbasi


Ahmed Abbasi
McIntire School of Commerce

“Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective”

Friday, October 28, 2016

3:30 pm (short reception before talk at 3:00)

Rice Hall Auditorium

Host: Hongning Wang (hw5x)

Abstract: This presentation summarizes the results from a five-year text analytics project examining social media sense-making capabilities in various industries, including telecommunications, health, and security. Despite their various benefits, social media technologies present two important challenges for sense-making. First, online discourse is plagued by incoherent, intertwined conversations that are often difficult to comprehend. Moreover, existing text analytics tools mostly focus on the semantic dimension of language, as opposed to actions and intentions. I use real-world examples to illustrate how these challenges inhibit our ability to perform many basic social media analytics tasks such as identifying important participants, issues, and ideas. The Language-Action Perspective (LAP) emphasizes pragmatics; considering conversations, actions, and context. In order to address the two aforementioned challenges, we developed a LAP-based text analytics framework to support sense-making in online discourse. I present evaluation results from multiple social media channels and industries, including an extended field experiment utilizing a large cloud-based system developed based on the framework. The results have important implications for online sense-making, social media analytics, and how we think about text.

Biography: Ahmed Abbasi is Murray Research Professor and associate professor of Information Technology in the McIntire School of Commerce at the University of Virginia. He is Director of the Center for Business Analytics and coordinator for the Enterprise IT Management module of the MS in MIT executive degree program. Ahmed is also a member of the Predictive Analytics Lab. Ahmed received his Ph.D. in Information Systems from the University of Arizona, where he also worked as a project-lead on multi-million dollar “big data” initiatives in the Artificial Intelligence Lab. He attained an M.B.A. and B.S. in Information Technology from Virginia Tech.

DH@UVa Conference

DH@UVA Conference

Friday, October 14 – Saturday, October 15
Auditorium, Harrison Institute & Small Special Collections Library

Please join us for two days of conversation and insights with the digital humanities community at UVa.

On October 14 and 15, the digital humanities community at UVa will come together for a multiplicity of conversations about what is happening in DH here now. As our community of practice grows and evolves, we are taking a moment to reflect and exchange ideas about what can happen in the future. Join us for lighting talks, roundtables, and ongoing public dialogue. Invited speakers include Lauren Klein, Tanya Clement, and Chris Johanson.

To learn more and register, please visit DH@UVa 2016 is free and open to the public. It is initiated and sponsored by Ron Hutchins, Vice President for Information Technology, Archie Holmes, Associate Provost for Academic Affairs, Francesca Fiorani, Associate Dean for the Arts and Humanities, and John Unsworth, Dean of Libraries and University Librarian. It is organized by Alison Booth, Academic Director of the Scholars’ Lab; David Germano, Director of SHANTI; and Worthy Martin, Director of IATH, with the support of Judy Thomas, Senior Director of Academic Engagement, UVa Library.