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The escalating complexity of global challenges demands a collaborative approach in scientific research that leverages diverse expertise, cultural backgrounds, and disciplines. This paper investigates communication barriers within multicultural engineering education research teams, emphasizing competent communication in fostering effective collaboration and innovation. Using Thompson's Collective Communication Competence (CCC) Model, this study explores engineering students’ experiences in a multicultural engineering education research project, aiming to identify specific challenges that hinder competent communication and propose actionable strategies for improvement. Through qualitative interviews and content analysis, the research highlights challenges in comprehensibility, team bonding, and navigating diverse disciplinary languages and cultural norms. The findings advocate for proactive measures such as early training in common language establishment, trust-building activities, and engaged reflexivity to enhance communication dynamics within multicultural research teams.
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This content will become publicly available on February 10, 2026
Advancing replicable and reproducible GIScience: an approach with KNIME
The reproducibility and replicability (R&R) crisis poses a significant challenge across disciplines, particularly in spatiotemporal studies. This paper focuses on the unique challenges within spatiotemporal research in the context of R&R, including data availability, methodological conception transparency, interdisciplinary collaboration complexities, the balance between R&R and innovation, and R&R education. Recognizing the potential of Scientific Workflow Management Systems (SWMS) to enhance R&R, we introduce a pioneering SWMS-based integrated spatiotemporal research approach (SISRA) utilizing KNIME, an open-source SWMS, to tackle these R&R challenges. First, we developed a set of KNIME extensions, including Geospatial and Dataverse extensions, to enhance spatiotemporal software availability in SWMS. Then we created spatial data virtual laboratory architecture to support multidisciplinary collaboration. Finally, we suggested a geographical research lifecycle that integrates SWMS-based methods to improve practices, efficiency, and innovation in R&R research and education. Our approach exemplifies how executable workflows can not only alleviate the R&R burden on researchers but also strengthen R&R education in geographical research, illustrating the benefits of our approach in training, teaching, and multidisciplinary collaboration.
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- Award ID(s):
- 1841403
- PAR ID:
- 10577743
- Publisher / Repository:
- Taylor & Francis
- Date Published:
- Journal Name:
- Cartography and Geographic Information Science
- ISSN:
- 1523-0406
- Page Range / eLocation ID:
- 1 to 21
- Subject(s) / Keyword(s):
- Spatiotemporal workflow KNIME replicable reproducibility SWMS
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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