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Drexel College of Computing & Informatics Attends iConference 2017

March 21, 2017

Several faculty and students from the College of Computing & Informatics (CCI) at Drexel University will be presenting and participating in iConference 2017 in Wuhan, China (March 22-25, 2017).

Workshop 4a: Information Science to Data Science: New Directions for iSchools Part 1 of 2
Organizers: Alice B. Kroeger Professor Jane Greenberg (Co-chair); Professor Xia Lin (Co-chair); Professor Il-Yeol Song (organizer)
Sponsored in part by Drexel’s Metadata Research Center
Date: Wednesday, March 22
Time: 1:00pm - 3:00pm
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Presentation: “Information Science to Data Science: New Directions for iSchools”
Presenters: Alice B. Kroeger Professor Jane Greenberg and Professor Xia Lin
Session: Workshop 4a: Information Science to Data Science: New Directions for iSchools
Date: Wednesday, March 22
Time: 1:00pm - 3:00pm
Abstract: The iSchools represent the convergence of a range of disciplines (information/library science, computer science, communications, telecommunications, and information technology, while integrating aspects of social science, economics, and policy). The diversity of disciplines positions iSchools to contribute to data science research and workforce needs in both ordinary and novel ways. This workshop will provide a needed forum for international dialog on the iSchool community's engagement with data science. The goals are to: 1) share iSchool developments in data science education and research, 2) articulate unique contributions and opportunities for iSchools in the data science, and 3) lay a foundation for continued international dialog among iSchools pursuing or seeking to pursue data science. A final report will summarize position papers, synthesize workshop discussions, outline action items for continued iSchool work in this area. An overall output, will be the foundation for a cohesive framework to enable the iSchool community dialog on data science.
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Paper: “Domain-Independent Term Extraction & Term Network for Scientific Publications”
Presenters: Assistant Professor Erjia Yan, and PhD Student Zheng Chen
Session: Completed Papers 2: Text/Data/Knowledge Mining
Date: Thursday, March 23
Time: 10:30am - 12:00pm
Abstract: Term extraction is an essential tool for content-based publication analysis, and has a long history dating back to 1970s. However, previous methods are either domain-specific, or need complex model training, or relies on external resources like Wikipedia. Recent rise of cross-domain publication content analyses put forward the demand for simple and efficient domain-independent extraction method. This paper proposes a new rule-based method that adapts C-value method to publication analysis, extends it with two types of frequency lists and sigmoid functions, and develops a prototype term extraction method. Our experiment shows a marked reduction of error with better or competitive keyword recall against the C-Value method and a complex term extraction method provided by Translated.net. We then construct a term network by connecting adjacent terms in paragraphs and demonstrate that rich and meaningful analysis can be done on such networks through a case study on an HCI abstract corpus.
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Paper: “A Survey on Management of Personal Health Information from Activity Trackers”
Presenters: PhD Student Yuanyuan Feng, Professor Denise E. Agosto

Session: Preliminary Papers 2: Information Behaviors and HCI 
Date: Thursday, March 23 
Time: 1:30pm - 3:00pm
Abstract: This paper examines how people manage activity tracker-generated personal health information. A pilot web survey study was conducted to understand healthy activity tracker users’ personal health information management (PHIM) practices and concerns of the new type of personal health information generated by activity trackers. Preliminary results from 55 responses are presented, showing that current activity trackers users tend to use their devices on a frequent and consistent basis, that they use a range of health/wellness applications and are often willing to try new ones, and that they have various PHIM concerns regarding needs, practices and obstacles. The findings suggest that future mobile and wearable technologies should allow for individualization and customization to support users’ diverse PHIM needs and specific health-related goals.
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Dr. Greenberg is also presenting “Data Sharing Licensing: From Challenges to Metadata Solutions,” at the Chinese Academy of Sciences in Beijing. The presentation is part of the Metadata Research Center’s research with the NSF Northeast Big Data Innovation Hub, and a collaboration involving researchers at Massachusetts Institute of Technology (MIT) and Brown University.
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About the iConference
The iConference is an annual gathering of a broad spectrum of scholars and researchers from around the world who share a common concern about critical information issues in contemporary society. The iConference pushes the boundaries of information studies, explores core concepts and ideas, and creates new technological and conceptual configurations—all situated in interdisciplinary discourses. iConference 2017 will bring together information scholars, researchers and professionals from around the world to share in high-quality research presentations and myriad opportunities for engagement. iConference 2017 is the second iConference to be held outside North America, and the first to be held in Asia. The conference theme is: Effect • Expand • Evolve: Global collaboration across the Information Community. Drexel CCI hosted the iConference 2016 in Philadelphia, Pennsylvania.