Enhancing the Effectiveness of Team Science (2015) / Chapter Skim
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10 Advancing Research on the Effectiveness of Team Science
10 Advancing Research on the Effectiveness of Team Science
Pages 217-226
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From page 217... ...
At the same time, however, we have noted the need for further "basic" research on team processes within science teams and larger groups and how these processes are related to scientific discovery and translation. Improving an understanding of the processes of team science will require interdisciplinary collaboration involving experts in the various disciplines that study teams and organizations (i.e., psychology, organizational behavior, communications)
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From page 218... ...
Team Composition and Assembly In Chapter 4, we concluded that methods and tools that allow practitioners to consider team composition systematically appear promising and recommended that those involved in assembling science teams and larger groups apply these methods and tools. As team science leaders begin to apply task analytic methods to compose science teams and larger groups (implementing Recommendation #1 in the Summary)
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From page 219... ...
As universities, researchers, and practitioners begin to create professional development opportunities for science teams (implementing Recommendation #2 in the Summary) , ongoing evaluation of these opportunities would provide valuable information for continuous improvement of them.
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From page 220... ...
Through such collaboration, researchers could create methods for assessing both collaborative and intellectual outcomes to identify core competencies that could then be systematically integrated into graduate and undergraduate programs to prepare students and team members for team science. More generally, collaboration among these communities would make it possible to conduct more robust prospective studies that compare and explicitly evaluate the relative effectiveness of various educational programs designed to prepare students for team science.
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From page 221... ...
Although the research supports our recommendation that team leaders take several steps to address these issues, it would be valuable to conduct further research on the extent to which the research on teams and groups and principles for effectiveness identified in Chapters 3 through 6 are applicable to virtual science teams and larger groups. We also concluded that technology for virtual collaboration often is designed without a true understanding of users' needs and limitations and may thus impede such collaboration.
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From page 222... ...
In Chapter 8, we also noted a few, isolated examples of university efforts to change policies and practices related to awarding credit for team science in the promotion and tenure process. Despite such exceptions, university policies for promotion and tenure review typically do not provide comprehensive, clearly articulated criteria for evaluating individual contributions to team-based research.
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From page 223... ...
universities' promotion and tenure policies related to evaluating individual contributions to team-based research. The limited information currently available suggests that such policies include a relatively narrow range of criteria relative to the broad range of potential meaningful contributions an individual can make to a science team.
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From page 224... ...
FUNDING AND EVALUATION OF TEAM SCIENCE We have noted that evaluating the processes and outcomes of team science is challenging, in part because science teams and larger groups may have multiple goals. Research is needed to develop new evaluative criteria that are appropriately matched to the respective goals and concerns of the teams, groups, organizations, institutions, funders, and community groups that have a stake in the foci, processes, and outcomes of the projects.
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From page 225... ...
In closing, we note the promise of new research methods and approaches for advancing the research on team science effectiveness. In Chapter 2, we discussed the unique concerns of the science of team science, including its focus on highly diverse units of analysis, ranging from the individual to the team, the organization, and society as a whole and the need for developing valid, reliable metrics and criteria to understand and evaluate team processes and their relationships to scientific and translational outcomes.
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From page 226... ...
Also, computation models (e.g., agent-based models, dynamical systems models, social network models) of findings regarding team member interactions under varying conditions in the literature on teams (including science teams)
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