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Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
Published on: July 21, 2021
Expanding collaborative autoethnography into the world of natural science for transdisciplinary teams
Melissa Haeffner1, Fern Hames2, Margaret M Barbour3,4
1Environmental Science and Management, Portland State University, 1719 SW 10th Avenue, Portland, OR 97201-3203, USA.
Abstract:
Wicked problems such as climate change and the COVID-19 pandemic require authentically transdisciplinary approaches to achieving effective collaboration. There exist several research approaches for identifying the components and interactions of complex problems; however, collaborative autoethnography provides an empirical way to collect and analyze self-reflection that leads to transformative change. Here, we present a case study of collaborative autoethnography, applied as a tool to transform research practice among a group of natural and social scientists, by constructively revealing and resolving deep, often unseen, disciplinary divides. We ask, "How can natural and social scientists genuinely accept, respect, and share one another's approaches to work on the wicked problems that need to be solved?" This study demonstrates how disciplinary divisions can be successfully bridged by open-minded and committed collaborators who are prepared to recognize the academic bias they bring to their research and use this as a platform of strength.
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