Transdisciplinary Communication Research Articles

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This article explores the potential of “porosity” in understanding the “supernatural”, particularly in interactions with spirits and gods. According to Luhrmann, a “porous” self is key to experiencing the supernatural. Unlike a “buffered” self with a compacted boundary between mind and world, a porous self integrates anomalous experiences more easily. Sharing Luhrmann’s transdisciplinary approach, this article looks into the potential of porosity in addressing reflexivity challenges and phenomenological ones, while advocating for more porous transdisciplinary communication. AcknowledgementThe research leading to the results presented in the paper has received funding from the European Research Council grant agreement № 101095729 (DEAGENCY). The views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency; neither the European Union nor the granting authority can be held responsible for them.

What qualitative systems mapping is and what it could be: integrating and visualizing diverse knowledge of complex problems

Researchers in sustainability science deal with increasingly complex problems that cross administrative, geographical, disciplinary, and sectoral boundaries, and are characterized by high stakes and deep uncertainties. This in turn creates methodological challenges to frame, structure, and solve complex problems in science and practice. There is a long tradition in visualizing systems as diagrams, and concept and cognitive maps, but there is insufficient differentiation and comparison between these methods and no clear umbrella term has yet been established. Against this background, we systematically review three foundational methods from different academic disciplines—causal diagrams, concept mapping, and cognitive mapping. Comparing and contrasting them, we facilitate a coherent understanding of qualitative systems mapping (QSM) as an umbrella term. We then proceed to explore the evident intersections between these methods to showcase some of the inter- and transdisciplinary opportunities and challenges crystallizing in integrated QSM approaches. Finally, we share case study insights from the food–water–biodiversity nexus in Austria and elaborate on some of the methodological nuances to data integration in QSM. Overall, with this overview paper, we lay the groundwork for a systematic, transparent, and yet flexible development and application of QSM methods to support mixed-methods research design and clear case study documentation, as well as fostering effective inter- and transdisciplinary communication in sustainability science. Further research needs to explore these QSM applications in depth across alternative sustainability science contexts, particularly with respect to efficient and rigorous protocols for knowledge and data integration vis-a-vis complex problems and transdisciplinary research processes.

Collaborative convergence: finding the language for trans-disciplinary communication to occur

The proper study of communication from existing models opens the doors to scientific research that allows exploring language and coding as an integral part of effective communication to generate new models that include Trans-Disciplinary Collaboration. The authors analyze the communication factors to describe the application of Trans-Disciplinary Communication. This paper aims to define communication processes and their relationship with language, considering their impact on trans-disciplinary collaboration and innovation. After conducting a systematic literature review, the article explored the concepts of communication, functions, language, and Trans-Disciplinary Communication. This led to its application in the convergence research approach presented in the Collaborative Convergence Pyramid.

Glossary of healthcare pathways: a methodological approach involving a transdisciplinary team in public health.

The healthcare pathway is at the heart of public health organization concerns, but communication between the various players can be an obstacle. This work, produced by a French transdisciplinary team, offers a methodological approach based on formalized consensus to elaborate a glossary of healthcare pathways. A two-steps procedure was elaborated, including a double rounded Delphi method to formalize expert consensus, and two groups of experts: a workgroup and a review group. The workgroup provided a list of words or expressions that, in their opinion, described, evaluated or compared the healthcare pathways for patients, caregivers or regulators. The review group checked this list and added or deleted words or expressions. Then, definitions were added by the workgroup based into account three dimensions: official, academic and from the field. The review group validated the definitions and provided complementary proposals if needed. After pooling the list of words proposed by each of the six members of the working group, 417 words/expressions were ranked. After the two rounds of evaluation, 294 words/expressions were rated "appropriate" and were analyzed by the review group. This group, after two rounds of evaluation, agreed on 263 words/expressions that were transmitted to the working group who defined them. These definitions were rated by the review group. The first round of evaluation established 195 definitions as being appropriated whereas 68 definitions were amended by the review group. This glossary supports transdisciplinary communication, reduces the extent of variations in practice and optimizes decision-making. International debate on all aspects might be strengthened by an improved understanding of the concept of health pathway.

Trans-Disciplinary Communication in Collaborative Co-Design for Knowledge Sharing

Trans-Disciplinary Communication in Collaborative Co-Design for Knowledge Sharing

Trans-Disciplinary Communication and Persuasion in Convergence Research Approach

Trans-Disciplinary Communication and Persuasion in Convergence Research Approach

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research

Disciplinary Inbreeding or Disciplinary Integration?

This article explores the risks of disciplinary inbreeding caused by disciplinary isolations in what has been called disciplinary silos. Disciplinary isolation necessarily reduces the disciplinary intra-variety and, according e the First Law of Cybernetics, it diminishes its level of adaptability. Hence, an isolated discipline loses the effectiveness to adapt to the changes that the same discipline may generate, let alone the changes generated by other disciplines and by the ex-disciplinary real world, This is an evident and real problem that disciplinary silos seem not to be perceiving or do not want to perceive. To face this situation, it is necessary to generate the opposite phenomenon. Since the meaning of Academic Inbreeding is associated with the analogy of Biological Inbreeding, then what we need is the analogy of its opposite in Biology, which is heterosis, hence it would be called Disciplinary Heterosis”, which is oriented to inject variety in disciplines by means of relating them, and the more distant the better as it happens in biological evolution. This "disciplinary heterosis", analogously to “biological heterosis" may lead to innovation and a more complete understanding of complex problems. and this is achieved via inter- and trans-disciplinary communication and collaboration. This necessarily requires inter- and trans-disciplinary communications and collaboration. This is a source of diversification, variety (in terms of The First Law of Cybernetics), individual analogical thinking, collective parallel thinking, and, hence, individual and collective creativity. This is the context of the article, which is mainly centered on Disciplinary Inbreeding, its risks, and potential dangers. The implicit objective of this focus is to reason the importance and even the necessity of Disciplinary Integration,just as which would be achieved via inter- and trans-disciplinary communication, education, and continuous self-education. This article is a step toward complementing other articles related to the importance of inter- and transdisciplinary communication oriented to show that what has been important is increasingly being required, because of the risk and potential dangers that may be present if Disciplinary Inbreeding is not balanced with its opposite: “Disciplinary Heterosis”, through disciplinary integration, via inter- and trans-disciplinary communication and education.

ChatGPT, Metaverses and the Future of Transdisciplinary Communication

The emergence of artificial intelligence (AI) and virtual reality (VR) technologies has propelled human-machine interaction and immersive experiences to unprecedented levels. Current discussions revolve around Trans-disciplinarity, transdisciplinary communication, metaverses2, and a paradigm shift ushered in by ChatGPT, an intelligent conversational agent powered by OpenAI’s GPT-3.5 architecture. Its integration into VR and metaverses for education and transdisciplinary communication is also being explored. The objective is to discuss and reframe ethical issues arising within the global discourse surrounding technology adaptation, and the innate promises, potential, and pitfalls. By examining the technical and ethical implications of such a potential integration, the paper aims to uncover the broader contexts of these advancements. A deeper understanding of the challenges ahead can be achieved by critically examining the risks and opportunities presented by ChatGPT, virtual realities, and metaverses. The paper emphasizes the need for initiative-taking measures to guide the development and deployment of these transformative technologies. Furthermore, the intersection of AI, VR, metaverses, education, transdisciplinarity, and transdisciplinary communication will be investigated and examined.

Trans-Disciplinary Communication for Policy Making: A Reflective Activity Study

This paper reports on a workshop conducted at the NSF's 2023 Eddie Bernice Johnson, INCLUDES National Network Convening: Sustaining Equity-Driven Systems Change, held in Washington, DC, from August 2-4, 2023. Titled "Enhancing Inclusivity through Expertise Sharing: A Reflective Group Activity on Effective Policy Development," the workshop employed Trans-Disciplinary Communication (TDC) as a methodological framework. Participants represented a cross-section of academia, nonprofits, federal agencies, and the general public, focusing on STEM Education, diversity, equity, and inclusion (DEI), and traditionally underrepresented groups (TUG). The paper delineates the protocol for eliciting robust participation and facilitating knowledge sharing. Subsequently, it scrutinizes the outcomes of these interactive discussions, culminating in an analysis of the broader implications of the activity. A significant finding emphasizes the pressing need for greater dissemination and divulgation by successful programs. A pivotal question underpinning this study is: How can Trans-Disciplinary Communication (TDC) be operationalized to foster equitable and innovative policy development in STEM fields? This inquiry fosters actionable steps and constructive dialogue toward achieving equity-driven systems change.

Data Management Sharing Plan: Fostering Effective Trans-Disciplinary Communication in Collaborative Research

This paper scrutinizes the integral role of Trans-Disciplinary Communication (TDC) in conceptualizing and implementing Data Management and Sharing (DMS) plans in alignment with federal guidelines such as those from NIH and NSF. We begin by dissecting existing federal mandates for research data management, elucidating their pivotal role in maintaining data integrity and enabling accessibility. Using a case study as our methodological approach, we exemplify how TDC can effectively enhance the dialogue and practices surrounding DMS plans, fulfilling the requirements imposed by funding organizations. Furthermore, this research offers a novel contribution to the ongoing discourse by highlighting how DMS plans are foundational in promoting effective TDC and, by extension, advancing discussions in areas like Diversity Equity and Inclusion (DEI), STEM Education, and Collaboration.

Trans-Disciplinary Communication in Collaborative Co-Design for Knowledge Sharing

This article examines the importance of Trans-disciplinary Communication (TDC) in knowledge sharing when utilizing collaborative co-design (CCD) as a tool for large-scale collective change social innovation projects. The article describes CCD and important frameworks like "Collaborative Infrastructure" and the "Collaborative Convergence Pyramid." Next, the paper discusses knowledge sharing in this context as an essential mechanism to engage the participants effectively. As the co-design process is initiated and the work progresses, several tools of TDC are imperative, such as listening, translation, and facilitation. Then, the article presents how the tools of TDC allow for the effective CCD to progress and be led by the author. Finally, some practical, real-world examples of TDC in action for CCD will be shared. By illustrating practical, real-world examples of TDC in an effort for CCD, the article offers an insightful overview of this empowering process, not merely as a theoretical construct but as a dynamic and practical approach. This article underscores the innovative potential that TDC brings to knowledge creation and dissemination, making it an essential read for academics, practitioners, and policy-makers interested in collaboration, inclusivity, and transformative change.

Data Visualization of Budgeting Assumptions: An Illustrative Case of Trans-disciplinary Applied Knowledge

Trans-disciplinary research combines different fields into new conceptual and methodological frameworks. In this study, the SECI model of knowledge creation, which consists of Socialization, Externalization, Combination, and Internalization conversion modes, is used to analyze the implementation of a structured budgeting visualization system by a trans-disciplinary team. Through applied research in implementing a global budgeting system, budgeting assumptions are made explicit through visualization, transforming the approach to the budgeting process and its accuracy. This visualization, in turn, is enabled by assumptions underlying revenue planning, business services and employee compensation, and a visual process. The system displays a stepped approach, indicated by icons, representing the tasks involved in the budget process. For example, the system requires uploading the previous year’s information, setting the assumptions, calculating the suggested figures based on assumptions, and amending the proposed outcome. As adapted by Rice and Rice (2005), SECI is applied as the socialization of tacit-to-tacit budgeting assumption knowledge is solidified during the design phase of this transformation exercise. The externalization phase, in which budgeting assumptions are transformed from tacit to explicit, is evidenced during the configuration phase of the new system. The systemic collaboration results in the explicit assumptions being collectively leveraged across the regions during and after the “go-live” phase of system development. Finally, the internalization phase involves the explicit assumptions being transformed into new tacit knowledge as the experts evolve new assumptions derived from the transformation process. Semiotics provides variance information through hue, with, for example, darker colours indicating higher variances. This trans-disciplinary communication provides the means for increased efficiency and effectiveness. The resulting budget framework is visually validated through a heatmap by comparing the budgeting accuracy and assumption 1 Contact author 2 Peer-Editor: Prof D Sewry. Dean of Commerce, Rhodes University. complexity between the different regions where it was implemented. In summary, value is added in developing a new data visualization process, focusing on the role of budgeting assumptions and using planning process visualizations. This approach improves communication efficiency, effectiveness, and understanding of budgeting while enhancing accuracy.

Trans-Disciplinary Communication: Context and Semantics

Science is split into subject-oriented disciplines that are grounded on varying shades of the scientific method. Being a social activity, communication lays at the creative core of the sciencebuilding process of facts and explanations. To communicate means, in its most seminal sense, to bring something in common between distinct parts or to transfer something from one part to another. This 'commonality,' or what lays in common to the parts, can occur not just among persons but also among persons and nature or persons and non-human things. This article starts discussing communication at the human scale from the very beginning, widening the scope from its inner kernel in individuals towards social interactions in the scientific community. The perspectives, concepts, and guidelines unveiled by this exercise are applied in the article's text itself.

Cross-Cultural Online Networking Based on Biomedical Engineering to Motivate Transdisciplinary Communication Skills

It is not possible to understand the whole with only a specialized field. The content is not always correctly conveyed to non-specialists. In this study, based on students' awareness of preparing for the future under a pandemic, understanding of the utility of masks against infectious diseases, and the transition of students' daily behavior under a pandemic, student group activity was carried out with the theme of "designing tools and systems to contribute to social life in pandemic". In addition, to motivate students to improve their transdisciplinary communication skills, cross-cultural online networking was carried out based on biomedical engineering as a multidisciplinary field.

Embedding Digital Data Storytelling in Introductory Data Science Course

With the emergence of data science as an inherently multidisciplinary subject, there is increasing demand for graduates with well-rounded competence in computing, analytics, and communication skills. However, in conventional education systems, computing & quantitative, and communication skills are often taught in different disciplines. Data storytelling is constructing and presenting data stories to highlight the analytical insights to achieve the communication goals to a specific audience. Digital data storytelling leverages digital storytelling techniques and best practices in communication to deliver stories that can be shared in digital formats to a wide audience. In this paper, we describe and reflect on a semester-long project-based learning pilot using Digital Storytelling as a framework to allow students to explore topics themed around human flourishing and sustainability with the end goal of constructing data stories delivered in digital or video format (i.e., Digital Data Storytelling). The pilot work was conducted in an introductory data science course at a 4-year Minority Serving Institution in collaboration with students studying non-STEM disciplines at a partner community college. Our pilot demonstrates the potential benefit of this sustainability-aware Project-Based Learning design in raising students’ awareness of sustainability issues, increasing confidence in cross-disciplinary communication competency, and at the same time deepening their understanding of data science concepts. We further reflect on the significant role of an effective program model as well as challenges and opportunities for building transdisciplinary communication competency to prepare for a diverse data science workforce.

Understanding Causes of Inferior Outcomes in Adolescents and Young Adults With Cancer.

Individuals diagnosed with cancer as adolescents and young adults (AYAs; ages 15-39 years) face unique vulnerabilities. Compared with individuals diagnosed when younger (≤14 years) or older (≥40 years), AYAs have not seen the same improvement in survival. Furthermore, they sit at a complex moment of social, emotional, and cognitive development, and have a unique interface with the healthcare system. With these observations, NCI prioritized addressing the unique vulnerabilities among AYAs with cancer, and NCCN developed guidelines regarding optimal AYA cancer care. Improvements in certain locales have been seen in the wake of this focus on AYAs, suggesting that continuing to consider AYA outcomes in the context of their specific needs is critical as we strive toward additional improvements. However, it is key to consider the drivers of these outcomes to continue this trajectory. This review presents a holistic conceptual model that includes factors that influence outcomes among AYAs with cancer, including domains in these levels that influence both clinical outcomes (such as relapse and survival) and health-related quality of life (HRQoL). These include domains at the patient level, such as social constructs (race/ethnicity, socioeconomic status), behavior (adherence, risk-taking), biologic characteristics (cancer biology, host genetics), medical treatment (treatment regimen, risk-based survivorship care), and treatment-related toxicities. The model also includes domains at the system level, which include treatment location (NCI designation, facility model, AYA program presence), clinical trial enrollment, transdisciplinary communication, fertility preservation, and psychosocial support. Recognizing these multiple factors at the level of the individual and the healthcare system influence AYA outcomes (from HRQoL to survival), it is key not only to consider patient-level interventions and development of novel cancer agents but also to develop systems-level interventions that can be executed in parallel. In this way, the impact can be expanded to a vast number of AYAs.

Collaborative Convergence: Finding the Language for Trans-Disciplinary Communication to Occur

The proper study of communication from existing models opens the doors to scientific research that allows exploring language and coding as an integral part of effective communication to generate new models that include Trans-Disciplinary Collaboration. The authors analyze the factors of communication to describe the application of Trans-Disciplinary Communication. This paper aims to define the communication processes and their relationship with language, considering their impact on Trans-Disciplinary Collaboration for innovation. After conducting a systematic literature review the article explored the concepts of communication, functions, language, and Trans-Disciplinary Communication. This led to its application in the convergence research approach as presented in the Collaborative Convergence Pyramid.

Transdisciplinary Communication as a Meta-Framework of Digital Education

Dynamic transformation of the knowledge economy, enhanced by Industry 4.0/5.0 development and rise of the networked society in the Digital Age, emergency digitization of all social communicative spheres due to pandemic measures have imposed dramatic changes onto transdisciplinary overlap in different areas of human knowledge and experience, induced by the cross-sectorial job market demands of university level education, curriculum design and learning outcomes. The Covid-19 pandemic induced amplified digitalization measures in the higher education sphere. This end-to end digital shift in the educational processes (communication, content, outcomes and outputs, skills) heralded the introduction of meta-disciplinary dimensions of learning – digital, hybrid and, blended. These meta-disciplinary dimensions can be considered conduits of vertical (endocentric) and horizontal (exocentric) transdisciplinary of digital education as a communicative system. Applied trans-disciplinary lens contributes to the solution of holistic modeling of processes and results of updating models and mechanisms of the highly dynamic communication system of education in the digital environment as a whole and its individual formats in the emergency digitization measures of different types.

The New Paradigm of Communication Within the Transdisciplinary Research

This paper aims to postulate a new paradigm of communication within transdisciplinary research, treated as a desirable model of practicing science in the XXI century (Brandt et al. 2013, Balsiger 2004, Wickson et al. 2006, Aenis 2010). The author emphasizes the need for a re-naturalization of transdisciplinary communication within the internally diversified teams, by returning to the natural, unforced patterns of human behavior within a group. Although it may seem to be a manifestation of sentiment for the Renaissance vision of science, combining threads from various, seemingly unconnected, areas of study (e.g., physics, metaphysics, and philosophy in one research approach) - today's necessity to restore transdisciplinary communication is a challenging task, including a need to return to the natural practices of cross-domain communication, using the potential of in-depth expertise in all the scientific areas. A mature transdisciplinary dialogue base on a translation of perspectives (Schuetz 1984, Perinbanayagam 2005) resulting from the natural predilection of a human actor to put himself/herself in the position of the other (interaction partner) to understand his/her point of view, for the set of intersubjectively shared senses and meanings is the starting point for every kind of partnership.