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Disrupting boundaries in education and research
\"In Disrupting Boundaries in Education and Research, six educational researchers explore together the potentialities of transdisciplinary research that de-centres human behaviour and gives materiality its due in the making of educational worlds. The book presents accounts of what happens when researchers think and act with new materiality and post-human theories to disrupt boundaries such as self and other, human and non-human, representation and objectivity. Each of the core chapters works with different new materiality concepts to disrupt these boundaries and to consider the emotive, sensory, nuanced, material and technological aspects of learning in diverse settings, such as in mathematics and learning to swim, discovering the bio-products of 'eco-sustainable' building, making videos and contending with digital government and its alienating effects. When humans are no longer at the centre of the unfolding world it is both disorienting and exhilarating. This book is an invitation to continue along these paths\"-- Provided by publisher.
Book
Convergence
Convergence of the life sciences with fields including physical, chemical, mathematical, computational, engineering, and social sciences is a key strategy to tackle complex challenges and achieve new and innovative solutions. However, institutions face a lack of guidance on how to establish effective programs, what challenges they are likely to encounter, and what strategies other organizations have used to address the issues that arise. This advice is needed to harness the excitement generated by the concept of convergence and channel it into the policies, structures, and networks that will enable it to realize its goals.
Convergence investigates examples of organizations that have established mechanisms to support convergent research. This report discusses details of current programs, how organizations have chosen to measure success, and what has worked and not worked in varied settings. The report summarizes the lessons learned and provides organizations with strategies to tackle practical needs and implementation challenges in areas such as infrastructure, student education and training, faculty advancement, and inter-institutional partnerships.
eBook
Artful collaborative inquiry : making and writing creative, qualitative research
\"Artful Collaborative Inquiry comprises essays created collectively by a group of scholars and artists, the majority of whom have several decades of experience of working together. The book challenges commonly-held, individualistic beliefs about ownership, authorship and scholarly and artistic ethics and practices. The chapters combine the playful use and merging of time, space and place, researcher and researched, to give a unique exemplar of research and creativity in the rapidly emerging field of collaborative scholarship. It will be of particular interest to creative and qualitative scholars wishing to conduct more artful research, and artists engaging with scholarship\"-- Provided by publisher.
BOOK
Chapters on Interdisciplinary Research and Research Skills
This book is a special edition, compiled for to the MSc Course Research Methodologies as taught at the Faculty of Aerospace Engineering at Delft University of Technology. It is a compilation of useful chapters from several sources on how to structure, set up, carry out and write up your (thesis) research to aid you in writing your research plan.
eBook
Does increased interdisciplinary contact among hard and social scientists help or hinder interdisciplinary research?
Scientists across disciplines must often work together to address pressing global issues facing our societies. For interdisciplinary projects to flourish, scientists must recognise the potential contribution of other disciplines in answering key research questions. Recent research suggested that social sciences may be appreciated less than hard sciences overall. Building on the extensive evidence of ingroup bias and ethnocentrism in intergroup relations, however, one could also expect scientists, especially those belonging to high status disciplines, to play down the contributions of other disciplines to important research questions. The focus of the present research was to investigate how hard and social scientists perceive one another and the impact of interdisciplinary collaborations on these perceptions. We surveyed 280 scientists at Wave 1 and with 129 of them followed up at Wave 2 to establish how ongoing interdisciplinary collaborations underpinned perceptions of other disciplines. Based on Wave 1 data, scientists who report having interdisciplinary experiences more frequently are also more likely to recognise the intellectual contribution of other disciplines and perceive more commonalities with them. However, in line with the intergroup bias literature, group membership in the more prestigious hard sciences is related to a stronger tendency to downplay the intellectual contribution of social science disciplines compared to other hard science disciplines. This bias was not present among social scientists who produced very similar evaluation of contribution of hard and social science disciplines. Finally, using both waves of the survey, the social network comparison of discipline pairs shows that asymmetries in the evaluation of other disciplines are only present among discipline pairs that do not have any experience of collaborating with one another. These results point to the need for policies that incentivise new collaborations between hard and social scientists and foster interdisciplinary contact.
Journal Article
Understanding the relationship between team diversity and the innovative performance in research teams using decision tree algorithms: evidence from artificial intelligence
Interdisciplinary research teams are crucial in solving complex problems by providing creative solutions that single-discipline teams cannot achieve. Despite considerable research has been conducted to enhance the efficacy of interdisciplinary teams, there is still a lack of understanding regarding the correlation between team diversity and innovative performance. Therefore, this study investigates this question thoroughly with the most influential scholars and their collaborators in artificial intelligence. Furthermore, decision tree algorithms were utilized to examine which interdisciplinary teams (according to diversity characteristics) are more likely to achieve high innovation performance, measured by novelty and impact. The results of the study show a U-shaped relationship between a combination of research interests diversity and member diversity and the “novelty” innovation performance. Specifically, teams exhibiting high diversity in research interests tend to demonstrate superior innovative performance, irrespective of member diversity. Conversely, teams with low research interest diversity can only attain higher novelty in their innovative performance if member diversity surpasses a certain threshold; otherwise, their novelty performance diminishes. Regarding “impact” innovation performance, teams characterized by higher member diversity, while maintaining research interest diversity within a reasonable range, are likely to achieve higher impact. Additionally, interdisciplinary teams that exhibit lower member diversity but higher institutional diversity also demonstrate enhanced performance. Moreover, the study found that research interest diversity served as the variable most strongly associated with team innovation performance. This study extends the research on the complex non-linear relationship between multi-factor combinations of team diversity and the innovative performance of interdisciplinary research teams.
Journal Article
A New Biology for the 21st Century
Now more than ever, biology has the potential to contribute practical solutions to many of the major challenges confronting the United States and the world. A New Biology for the 21st Century recommends that a \"New Biology\" approach-one that depends on greater integration within biology, and closer collaboration with physical, computational, and earth scientists, mathematicians and engineers-be used to find solutions to four key societal needs: sustainable food production, ecosystem restoration, optimized biofuel production, and improvement in human health. The approach calls for a coordinated effort to leverage resources across the federal, private, and academic sectors to help meet challenges and improve the return on life science research in general.
eBook