[Colloquium] Workshop Announcement: Information, Interaction, and Influence

Ninfa Mayorga ninfa at uchicago.edu
Tue May 13 09:21:24 CDT 2014


Information, Interaction, and Influence

Joint University of Chicago-Digital Science Workshop on Research Information Technologies and their Role in Advancing Science
Date:  May 19th and 20th (Mon: 8:45am-6:30pm, Tue: 8:45am-2:00pm)
Location:  Theater, Ida Noyes Hall
Attendance by registration.  Register at http://bit.ly/1g2s0bX

This workshop will explore the role that research information technologies – including research profiling, management, and networking systems – play in improving scientific collaboration and our understanding of academic influence. The key objective is to surface the challenges that exist in conceptualizing and designing systems for managing research and scholarly information, and to better understand the vast potential of these systems. The workshop aims to break down barriers – barriers among academic and administrative silos within the university, and barriers between commercial and university-based efforts to develop tools that improve the management and discoverability of networked research information.

Systems that harvest, manage, and network research information increasingly serve as knowledge warehouses for the research enterprise. Given their potential to capture some of the complex institutional and social dynamics of science and scholarship, these systems are of active interest to funders, investigators, scholars, clinicians, academic administrators, community partners, and entrepreneurs. Of particular interest are emerging systems to mine the hidden knowledge networks embedded in the scholarly literature, and systems to track new measures of impact and influence in science.

As the academic publishing landscape continues to evolve and authors increasingly turn to non-traditional media for the dissemination of their research, the cloud is becoming an equal partner in enabling scientific discovery. Publishing a paper is no longer sufficient; underlying data and the computational results used to produce the paper are equally vital, and reproducibility is as important as the publication itself. This workshop will expand our understanding of these important issues as well.


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