Stephen M. Fiore

A Multi-Level Systems Perspective for the Science of Team Science

Understanding how teams function is vital because they are increasingly dominating the production of high-impact science. This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the “science of team science” (SciTS, pronounced “sahyts”). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field’s evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis.

Interdisciplinarity as Teamwork : How the Science of Teams Can Inform Team Science

This essay discusses interdisciplinary research in the context of science policy and the practice of science. Comparisons between interdisciplinary research and other forms of cross-disciplinary research are made, and a brief discussion of the development of the concept of interdisciplinarity is provided. The overarching thesis of this essay is that interdisciplinary research is team research, that is, research conducted by a team. This notion is developed via recent policy discussions of team science and the need to understand interdisciplinary research in action. The author shows how it may be possible to consider the implementation of principles from teamwork and team training to improve interdisciplinary research and the practice of team science.

Toward an Understanding of Macrocognition in Teams: Predicting Processes in Complex Collaborative Contexts

Objective: This article presents a model for predicting complex collaborative processes as they arise in one-of-a-kind problem-solving situations to predict performance outcomes. The goal is to outline a set of key processes and their interrelationship and to describe how these can be used to predict collaboration processes embedded within problem-solving contexts. Background: Teams are increasingly called upon to address complex problem-solving tasks in novel situations. This represents a domain of performance that to date has been underrepresented in the research literature. Method: Multidisciplinary theoretical and empirical literature relating to knowledge work in teams is synthesized. Results: A set of propositions developed to guide research into how teams externalize cognition and build knowledge in service of problem solving is presented. First, a brief overview of macrocognition in teams is provided to distinguish the present work from other views of team cognition. Second, a description of the foundational theoretical concepts driving the theory of macrocognition in teams presented here is provided. Third, a set of propositions described within the context of a model of macrocognition in teams is forwarded. Conclusion: The theoretical framework described in this article provides a set of empirically testable propositions that can ultimately guide practitioners in efforts to support macrocognition in teams. Application: A theory of macrocognition in teams can provide guidance for the development of training interventions and the design of collaborative tools to facilitate knowledge-based performance in teams.

Emerging themes in distance learning research and practice: some food for thought

With the rapid spread of distance learning as a medium for delivering instruction, the practice of distance learning has outpaced research. This paper describes major themes identified in a review of selected research papers published in the past five years. Themes include the following: definitions of distance learning and why it should be studied; identification of the major learning theories on which research is based; how collaboration can be achieved via distance learning; the role that learner characteristics play in the success of distance learning systems, and issues related to measuring the effectiveness of distance learning. The authors conclude that more research is needed to identify critical success factors for distance learning.

Shifting the paradigm of music instruction: implications of embodiment stemming from an augmented reality guitar learning system.

Musical instruction often includes materials that can act as a barrier to learning. New technologies using augmented reality may aid in reducing the initial difficulties involved in learning music by lowering these barriers characteristic of traditional instructional materials. Therefore, this set of studies examined a novel augmented reality guitar learning system (i.e., the Fretlight® guitar) in regards to current theories of embodied music cognition. Specifically, we examined the effects of using this system in comparison to a standard instructional material (i.e., diagrams). First, we review major theories related to musical embodiment and specify a niche within this research space we call embodied music technology for learning. Following, we explicate two parallel experiments that were conducted to address the learning effects of this system. Experiment 1 examined short-term learning effects within one experimental session, while Experiment 2 examined both short-term and long-term effects across two sessions spaced at a 2-week interval. Analyses demonstrated that, for many of our dependent variables, all participants increased in performance across time. Further, the Fretlight® condition consistently led to significantly better outcomes via interactive effects, including significantly better long term retention for the learned information across a 2 week time interval. These results are discussed in the context of embodied cognition theory as it relates to music. Potential limitations and avenues for future research are described.

Advancing the Science of Team Science

The First Annual International Science of Team Science (SciTS) Conference was held in Chicago, IL April 22–24, 2010. This article presents a summary of the Conference proceedings. Clin Trans Sci 2010; Volume 3: 263–266.

Mapping a research agenda for the science of team science

An increase in cross-disciplinary, collaborative team science initiatives over the last few decades has spurred interest by multiple stakeholder groups in empirical research on scientific teams, giving rise to an emergent field referred to as the science of team science (SciTS). This study employed a collaborative team science concept-mapping evaluation methodology to develop a comprehensive research agenda for the SciTS field. Its integrative mixed-methods approach combined group process with statistical analysis to derive a conceptual framework that identifies research areas of team science and their relative importance to the emerging SciTS field. The findings from this concept-mapping project constitute a lever for moving SciTS forward at theoretical, empirical, and translational levels.

The Cambridge Handbook of Expertise and Expert Performance: The Making of a Dream Team: When Expert Teams Do Best

The Making of a Dream Team: When Expert Teams Do Best The original use of the phrase “Dream Team” was in reference to the US basketball team that won the gold medal at the 1992 Olympics in Barcelona. Team members included basketball greats (e.g., Michael Jordan, Magic Johnson, and Larry Bird) as well as Charles Barkley and seven more NBA All-Stars. This team of twelve proficient athletes who were at the top of their game seamlessly blended their talents such that they dominated the Olympic competition, beating their eight opponents by an average of 44 points. On February 22, 1980 at the Olympic Winter Games in Lake Placid a highly skilled Russian hockey team, recognized as the best hockey team in the world, lost 4–3 to a young but skilled collegiate US hockey team. The US victory over the “undefeatable” Russian team in the semi-finals, whom they had just lost to 10–3 a week before in an exhibition match, put the US team in contention for the gold medal. The US hockey team, which had been seeded seventh in the 12-team tournament, went on to beat Finland (4–2) for the gold medal. So what distinguishes these two teams from other teams? Teamwork? Individual expertise? Both? What led the original “Dream Team” to dominate the 1992 Olympics? Conversely, what led the star Russian team to lose to a team they had dominated only a week before?

Trust Development in Swift Starting Action Teams A Multilevel Framework

Swift starting action teams (STATs) are increasingly prevalent in organizations, and the development of trust is often a critical issue for their effectiveness. However, current theory and research do not provide a clear picture regarding how trust toward the team (i.e., the team as the target) is developed in these settings. The primary contribution of this article is to present a theoretical framework describing how individual-level trust toward one’s team is developed in STAT contexts. This article integrates several existing trust theories into one comprehensive context-specific multilevel theory of how trust develops in STATs from cognitive, affective, behavioral, and contextual perspectives. This framework furthers our understanding of the unique antecedents of initial trust in STATs, how trust attitudes are adjusted over the short amount of time the team interacts, and how the team context influences this developmental process.

Fostering constructive cognitive and metacognitive activity in computer-based complex task training environments

In this paper, we describe the results of our programmatic research efforts aimed at investigating the use of interactive computer-based training technology to support knowledge acquisition and integration for complex task training environments. We present the theoretical rationale for our efforts and briefly describe the successive iterations of our investigation. Based upon the significant findings in our studies, we then present, within the following areas, a set of propositions for the design and evaluation of computer-based training programs for complex systems: (1) Diagrams and knowledge integration; (2) Multimedia and training evaluation; (3) Mental model development and training evaluation; (4) Instructional efficiency and training evaluation; (5) Fostering constructive metacognitive processes; (6) Supporting individual differences in ability. These propositions are presented in the context of the related theoretical rationale drawn from the literature and the relevant empirical support from the body of research conducted within our collective research efforts.