Work

Collaboration in action: Enabling innovative scholarship with social and crowdsourcing services

Year: 2013

Type: conference-paper

Abstract: With an exponentially growing set of e-services and social networks that allow people to be not only consumers, but also producers of information, information seeking and sharing behaviors are rapidly changing. Innovations in areas such as information exchange and knowledge management are coming from scholarship in data sciences, and the “wisdom of the crowd” has become more than a passing trend. The focus of this event would be to discuss the latest developments in the field of social media and crowdsourcing specific to information seeking, knowledge management, and innovative methods for collaborative question-answering. Specifically, the event will facilitate discussions about and engage the audience in topics such as social search, community-based question-answering, and hybrid models for information seeking. These discussions will be guided by the organizers who come from a variety of backgrounds, institutions, and research areas.

Source: D-Scholarship@Pitt (University of Pittsburgh)

DOI: 10.9776/13469

Authors: Chirag Shah, Daqing He, Marie L. Radford, Jung Sun Oh, Lynn Silipigni Connaway

Institutions: Rutgers, The State University of New Jersey, University of Pittsburgh

Language: English

Topic: Expert finding and Q&A systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Award: EAGER: Tapping into Public Academic Information on the Social Web: Towards a Novel Academic Recommendation Framework