Facebook for Scientists: Optimizing Scientific Collaborations
Author Information
Author(s): Eysenbach Gunther, Pietrobon Ricardo, Weng Chunhua, Olson G Schleyer Titus, Spallek Heiko, Butler Brian S, Subramanian Sushmita, Weiss Daniel, Poythress M Louisa, Rattanathikun Phijarana, Mueller Gregory
Primary Institution: University of Pittsburgh
Hypothesis
What requirements should systems for finding collaborators in biomedical science fulfill, and which information technology services can address these requirements?
Conclusion
Social connectedness, personal and professional compatibility, and power differentials influence whether collaborations are formed, and current systems only partially model these requirements.
Supporting Evidence
- Five main themes of requirements for systems to support collaboration were identified.
- Social networks are crucial for finding and assessing potential collaborators.
- Current systems do not fully meet the needs of researchers seeking collaborators.
Takeaway
This study looks at how scientists can find the right collaborators more easily, like using Facebook to connect with friends, but for research.
Methodology
The study involved a literature review, interviews with researchers, and the development of a prototype system based on identified requirements.
Potential Biases
Potential bias in participant selection and the reliance on self-reported data from interviews.
Limitations
The study may not fully capture the complexities of collaboration dynamics across all scientific fields.
Participant Demographics
Participants included 27 scientists from various disciplines and levels of seniority at the University of Pittsburgh.
Digital Object Identifier (DOI)
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