Literature DB >> 30530681

Twin-Win Model: A human-centered approach to research success.

Ben Shneiderman1.   

Abstract

A 70-year-old simmering debate has erupted into vigorous battles over the most effective ways to conduct research. Well-established beliefs are being forcefully challenged by advocates of new research models. While there can be no final resolution to this battle, this paper offers the Twin-Win Model to guide teams of researchers, academic leaders, business managers, and government funding policymakers. The Twin-Win Model favors a problem-oriented approach to research, which encourages formation of teams to pursue the dual goals of breakthrough theories in published papers and validated solutions that are ready for widespread dissemination. The raised expectations of simultaneously pursuing foundational discoveries and powerful innovations are a step beyond traditional approaches that advocate basic research first. Evidence from citation analysis and researcher interviews suggests that simultaneous pursuit of both goals raises the chance of twin-win success.

Entities:  

Keywords:  Twin-Win Model; applied research; basic research; human-centered research; research model

Year:  2018        PMID: 30530681      PMCID: PMC6294916          DOI: 10.1073/pnas.1802918115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  6 in total

1.  Modeling research universities: Predicting probable futures of public vs. private and large vs. small research universities.

Authors:  William B Rouse; John V Lombardi; Diane D Craig
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-11       Impact factor: 11.205

2.  Forecasting innovations in science, technology, and education.

Authors:  Katy Börner; William B Rouse; Paul Trunfio; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-11       Impact factor: 11.205

3.  Vision for a systems architecture to integrate and transform population health.

Authors:  Guruprasad Madhavan; Charles E Phelps; William B Rouse; Rino Rappuoli
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-11       Impact factor: 11.205

4.  Jump-Starting Kidney Research: Fostering Disruptive Innovation to Advance Nephrology.

Authors:  Jenna M Norton; Robert A Star
Journal:  Clin J Am Soc Nephrol       Date:  2020-08-10       Impact factor: 8.237

5.  Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research.

Authors:  Denis Newman-Griffis; Jill Fain Lehman; Carolyn Rosé; Harry Hochheiser
Journal:  Proc Conf       Date:  2021-06

6.  Where is your field going? A machine learning approach to study the relative motion of the domains of physics.

Authors:  Andrea Palmucci; Hao Liao; Andrea Napoletano; Andrea Zaccaria
Journal:  PLoS One       Date:  2020-06-18       Impact factor: 3.240

  6 in total

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