Research Collaboration and Team Science


Book Description

Today in most scientific and technical fields more than 90% of research studies and publications are collaborative, often resulting in high-impact research and development of commercial applications, as reflected in patents. Nowadays in many areas of science, collaboration is not a preference but, literally, a work prerequisite. The purpose of this book is to review and critique the burgeoning scholarship on research collaboration. The authors seek to identify gaps in theory and research and identify the ways in which existing research can be used to improve public policy for collaboration and to improve project-level management of collaborations using Scientific and Technical Human Capital (STHC) theory as a framework. Broadly speaking, STHC is the sum of scientific and technical and social knowledge, skills and resources embodied in a particular individual. It is both human capital endowments, such as formal education and training and social relations and network ties that bind scientists and the users of science together. STHC includes the human capital which is the unique set of resources the individual brings to his or her own work and to collaborative efforts. Generally, human capital models have developed separately from social capital models, but in the practice of science and the career growth of scientists, the two are not easily disentangled. Using a multi-factor model, the book explores various factors affecting collaboration outcomes, with particular attention on institutional factors such as industry-university relations and the rise of large-scale university research centers.




Enhancing the Effectiveness of Team Science


Book Description

The past half-century has witnessed a dramatic increase in the scale and complexity of scientific research. The growing scale of science has been accompanied by a shift toward collaborative research, referred to as "team science." Scientific research is increasingly conducted by small teams and larger groups rather than individual investigators, but the challenges of collaboration can slow these teams' progress in achieving their scientific goals. How does a team-based approach work, and how can universities and research institutions support teams? Enhancing the Effectiveness of Team Science synthesizes and integrates the available research to provide guidance on assembling the science team; leadership, education and professional development for science teams and groups. It also examines institutional and organizational structures and policies to support science teams and identifies areas where further research is needed to help science teams and groups achieve their scientific and translational goals. This report offers major public policy recommendations for science research agencies and policymakers, as well as recommendations for individual scientists, disciplinary associations, and research universities. Enhancing the Effectiveness of Team Science will be of interest to university research administrators, team science leaders, science faculty, and graduate and postdoctoral students.




The Strength in Numbers


Book Description

Why collaborations in STEM fields succeed or fail and how to ensure success Once upon a time, it was the lone scientist who achieved brilliant breakthroughs. No longer. Today, science is done in teams of as many as hundreds of researchers who may be scattered across continents. These collaborations can be powerful, but they also demand new ways of thinking. The Strength in Numbers illuminates the nascent science of team science by synthesizing the results of the most far-reaching study to date on collaboration among university scientists. Drawing on a national survey with responses from researchers at more than one hundred universities, archival data, and extensive interviews with scientists and engineers in over a dozen STEM disciplines, Barry Bozeman and Jan Youtie establish a framework for characterizing different collaborations and their outcomes, and lay out what they have found to be the gold-standard approach: consultative collaboration management. The Strength in Numbers is an indispensable guide for scientists interested in maximizing collaborative success.




Strategies for Team Science Success


Book Description

Collaborations that integrate diverse perspectives are critical to addressing many of our complex scientific and societal problems. Yet those engaged in cross-disciplinary team science often face institutional barriers and collaborative challenges. Strategies for Team Science Success offers readers a comprehensive set of actionable strategies for reducing barriers and overcoming challenges and includes practical guidance for how to implement effective team science practices. More than 100 experts--including scientists, administrators, and funders from a wide range of disciplines and professions-- explain evidence-based principles, highlight state-of the-art strategies, tools, and resources, and share first-person accounts of how they’ve applied them in their own successful team science initiatives. While many examples draw from cross-disciplinary team science initiatives in the health domain, the handbook is designed to be useful across all areas of science. Strategies for Team Science Success will inspire and enable readers to embrace cross-disciplinary team science, by articulating its value for accelerating scientific progress, and by providing practical strategies for success. Scientists, administrators, funders, and others engaged in team science will also leave equipped to develop new policies and practices needed to keep pace in our rapidly changing scientific landscape. Scholars across the Science of Team Science (SciTS), management, organizational, behavioral and social sciences, public health, philosophy, and information technology, among other areas of scholarship, will find inspiration for new research directions to continue advancing cross-disciplinary team science.




Structures of Scientific Collaboration


Book Description

How technology and bureaucracy shape collaborative scientific research projects: an empirical study of multiorganizational collaboration in the physical sciences. Collaboration among organizations is rapidly becoming common in scientific research as globalization and new communication technologies make it possible for researchers from different locations and institutions to work together on common projects. These scientific and technological collaborations are part of a general trend toward more fluid, flexible, and temporary organizational arrangements, but they have received very limited scholarly attention. Structures of Scientific Collaboration is the first study to examine multi-organizational collaboration systematically, drawing on a database of 53 collaborations documented for the Center for History of Physics of the American Institute of Physics. By integrating quantitative sociological analyses with detailed case histories, Shrum, Genuth, and Chompalov pioneer a new and truly interdisciplinary method for the study of science and technology. Scientists undertake multi-organizational collaborations because individual institutions often lack sufficient resources--including the latest technology--to achieve a given research objective. The authors find that collaborative research depends on both technology and bureaucracy; scientists claim to abhor bureaucracy, but most collaborations use it constructively to achieve their goals. The book analyzes the structural elements of collaboration (among them formation, size and duration, organization, technological practices, and participant experiences) and the relationships among them. The authors find that trust, though viewed as positive, is not necessarily associated with successful projects; indeed, the formal structures of bureaucracy reduce the need for high levels of trust--and make possible the independence so valued by participating scientists.




Designing Engineers


Book Description

Designing Engineers First Edition is written in short modules, where each module is built around a specific learning outcome and is cross-referenced to the other modules that should be read as pre-requisites, and could be read in tandem with or following that module. The book begins with a brief orientation to the design process, followed by coverage of the design process in a series of short modules. The rest of the book contains a set of modules organized in several major categories: Communication & Critical Thinking, Teamwork & Project Management, and Design for Specific Factors (e.g. environmental, human factors, intellectual property). A resource section provides brief reference material on economics, failure and risk, probability and statistics, principles & problem solving, and estimation.




Enhancing Communication & Collaboration in Interdisciplinary Research


Book Description

Enhancing Communication & Collaboration in Interdisciplinary Research, edited by Michael O'Rourke, Stephen Crowley, Sanford D. Eigenbrode, and J. D. Wulfhorst, is a volume of previously unpublished, state-of-the-art chapters on interdisciplinary communication and collaboration written by leading figures and promising junior scholars in the world of interdisciplinary research, education, and administration. Designed to inform both teaching and research, this innovative book covers the spectrum of interdisciplinary activity, offering a timely emphasis on collaborative interdisciplinary work. The book’s four main parts focus on theoretical perspectives, case studies, communication tools, and institutional perspectives, while a final chapter ties together the various strands that emerge in the book and defines trend-lines and future research questions for those conducting work on interdisciplinary communication.




The Toolbox Dialogue Initiative


Book Description

Cross-disciplinary scientific collaboration is emerging as standard operating procedure for many scholarly research enterprises. And yet, the skill set needed for effective collaboration is neither taught nor mentored. The goal of the Toolbox Dialogue Initiative is to facilitate cross-disciplinary collaboration. This book, inspired by this initiative, presents dialogue-based methods designed to increase mutual understanding among collaborators so as to enhance the quality and productivity of cross-disciplinary collaboration. It provides a theoretical context, principal activities, and evidence for effectiveness that will assist readers in honing their collaborative skills. Key Features Introduces the Toolbox Dialogue method for improving cross-disciplinary collaboration Reviews the theoretical background of cross-disciplinary collaboration and considers the communication and integration challenges associated with such collaboration Presents methods employed in workshop development and implementation Uses various means to examine the effectiveness of team-building exercises Related Titles Fam, D., J. Palmer, C. Riedy, and C. Mitchell. Transdisciplinary Research and Practice for Sustainability Outcomes (ISBN: 978-1-138-62573-0) Holland, D. Integrating Knowledge through Interdisciplinary Research: Problems of Theory and Practice (ISBN: 978-1-138-91941-9) Padmanabhan, M. Transdisciplinary Research and Sustainability: Collaboration, Innovation and Transformation (ISBN: 978-1-138-21640-2)




Leadership in Statistics and Data Science


Book Description

This edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides futuristic ideas for promoting opportunities for equitable leadership, as well as tested approaches that have already been found to make a difference. It speaks to the challenges and opportunities of leading successful research collaborations and making strong connections within research teams. Curated with a vision that leadership takes a myriad of forms, and that diversity has many dimensions, this volume examines the nuances of leadership within a workplace environment and promotes storytelling and other competencies as critical elements of effective leadership. It makes the case for inclusive and humanistic leadership in statistics and data science, where there often remains a dearth of women and members of certain racial communities among the employees. Titled and non-titled leaders will benefit from the planning, evaluation, and structural tools offered within to contribute inclusive excellence in workplace climate, environment, and culture.




Entering Mentoring


Book Description

The mentoring curriculum presented in this manual is built upon the original Entering Mentoring facilitation guide published in 2005 by Jo Handelsman, Christine Pfund, Sarah Miller, and Christine Maidl Pribbenow. This revised edition is designed for those who wish to implement mentorship development programs for academic research mentors across science, technology, engineering and mathematics (STEM) and includes materials from the Entering Research companion curriculum, published in 2010 by Janet Branchaw, Christine Pfund and Raelyn Rediske. This revised edition of Entering Mentoring is tailored for the primary mentors of undergraduate researchers in any STEM discipline and provides research mentor training to meet the needs of diverse mentors and mentees in various settings.