Title :
CTS 2014 panel sessions
Author :
Anya, Obinna B. ; Carlis, John V. ; Hecht, Brent J. ; Keefe, Daniel ; Anya, Obinna ; Chumbler, Neale R. ; Khairat, Saif ; Konstan, Joseph A. ; Pani, Danilo ; Evgenides, Jason ; Girton, Janet ; King, Arlene ; Zahn, Joseph ; Padula, Gregory ; Galvin, Mary
Author_Institution :
Accelerated Discovery Lab, Almaden Research Center, California, USA
Abstract :
This panel explores the many roles of data analytics in today´s cross-domain collaborations. In some instances, cross-domain analytics are required to understand big data. In others, big data holds the key to understanding and evaluating how people collaborate across domains. Panelists will present their experiences with big data and collaboration, and discussion will be guided by the following questions: How does “understanding data through collaboration” relate to “understanding collaboration through data”? What modeling tools, visualizations, abstractions, and metrics can help facilitate collaborative discovery from big data? To what extent should these tools be tailored to specific domains or groups? How much do we need to know about another domain or group before we can intersect domain specific activities that constitute the context to various analytical processes, and cross-pollinate ideas for deeper analytics? What optimally would that other domain or group need to know about us? How much of this knowledge can we extract from data?
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2014 International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
978-1-4799-5157-4
DOI :
10.1109/CTS.2014.6867528