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Accelerating Innovation in Multidisciplinary Scientific Teams through Visual Analytics

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Dr. Bhavnani and colleagues discuss their research at the SciTS 2018 Conference. Their research involves studying the role of visual analytics in enabling innovation in multidisciplinary scientific teams. From their study they determined several implications such as "multi-omics data require multidisciplinary scientific teams to enable translational discoveries however such teams face significant hurdles to integrate diverse knowledge" and " bivartite networks can model multiple datatypes and visual analytical representations can play the role of a computationally evolving boundary objects."

Suresh K. Bhavnani, Ph.D, Institute for Translational Sciences, University of Texas Medical Branch

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Online at: https://sts.memberclicks.net/assets/2018_SciTS_docs/Presentations/Bhavnani_Accelerating%20Innovation.pdf

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Language(s):

English

Tool Type:

Paper

Keywords:

team science, multidisciplinary, scientific teams

Addresses these goal(s):

  • Learn about the field of team science: history, theory and concepts
  • Establish or maintain effective team science endeavors
  • Enhance team performance, interactions, and attitudes
  • Provide institutional support for team science
  • Provide training for team science to team members or students
  • Conduct research on/evaluate team science
  • Engage community partners in your scientific team

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Resource created by Jamie Fleishman on 6/26/2018 3:17:53 PM.

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