Facilitating cancer systems epidemiology research

Systems epidemiology offers a more comprehensive and holistic approach to studies of cancer in populations by considering high dimensionality measures from multiple domains, assessing the inter-relationships among risk factors, and considering changes over time. These approaches offer a framework to account for the complexity of cancer and contribute to a broader understanding of the disease. Therefore, NCI sponsored a workshop in February 2019 to facilitate discussion about the opportunities and challenges of the application of systems epidemiology approaches for cancer research. Eight key themes emerged from the discussion: transdisciplinary collaboration and a problem-based approach; methods and modeling considerations; interpretation, validation, and evaluation of models; data needs and opportunities; sharing of data and models; enhanced training practices; dissemination of systems models; and building a systems epidemiology community. This manuscript summarizes these themes, highlights opportunities for cancer systems epidemiology research, outlines ways to foster this research area, and introduces a collection of papers, “Cancer System Epidemiology Insights and Future Opportunities” that highlight findings based on systems epidemiology approaches.

Challenges for Science

The book ends by calling for a new kind of science of the social, one that recognizes the immense challenges posed by the sheer complexity of sociocultural phenomena and the fact that our evolved psychology is not well designed to grasp, let alone address, those challenges. Nevetheless, we live in a time when the potential rewards of transdisciplinary collaboration are richer than they have ever been before. This chapter describes some of the main hurdles to achieving that potential and discusses how these might be overcome. The very enterprise of social science is inherently unnatural, given our uniquely human evolved psychology, and this may explain why the study of the social has proven harder to get off the ground, in comparison with many other life sciences. The resulting lack of consensus on basic matters of epistemology and method has contributed to the creation of theoretical and methodological divisions in the social sciences in the alternate guises of the ‘two cultures problem’ and the ‘silo effect’. The solutions proposed here advocate new forms of problem-centred transdisciplinary research based on the kinds of cross-cultural collaborative programmes described in detail throughout the book.

Enabling Transdisciplinary Collaboration: Stakeholder Views on Working With “Children With Mentally Ill Parents” Research Groups

Working collaboratively and openly together with stakeholders has become a common phenomenon in research. While previous studies have gathered a clear picture on researchers' attitudes, motivations, and barriers for actively involving stakeholders in transdisciplinary research, the stakeholder perspective is yet unknown. Therefore, this paper sets out to identify how stakeholders perceive transdisciplinary collaborations with researchers. This paper in particular reveals the enablers and barriers for such collaborations from the viewpoint of stakeholders. To do so, we look at how stakeholders, who were actively involved in the governance structure of two “children with mentally ill parents” research groups in Austria, perceived their collaboration with researchers. We used a mixed-method, quantitative-qualitative design. We conducted an online survey and interviews with the members of the advisory board and competence group. These stakeholders reported great satisfaction with the transdisciplinary collaboration and emphasized the value of different expertise. As the most important enablers for successful, transdisciplinary collaboration stakeholders emphasized researchers' open-mindedness toward new perspectives and approaches, flexibility to adapt to the research process along the way, and creativity dealing with diverse backgrounds and skills. Stakeholders further underlined the importance of a person facilitating the collaboration process between researchers and stakeholders to resolve any tensions and insecurities. Concluding, researchers' attitudes, and in particular their understanding of the value of stakeholder involvement in research are key enablers for successful transdisciplinary research collaborations.

Transdisciplinarity in Japanese business communication

Transdisciplinary collaboration has become one of the most important agendas in the field of Applied Linguistics and professional communication. Investigation into transdisciplinary collaboration has been conducted at the interface of both fields through knowledge transformation and multimethod action research. In Japan, however, investigation into transdisciplinary collaboration or transdisciplinarity still holds great potential for development. As the first step to investigate transdisciplinary collaboration, the author conducted in-depth interviews with eight Japanese business professionals who are also engaged in academic collaboration. The purpose of this study is to understand the challenges and opportunities they are currently facing in transdisciplinary collaboration and to identify shared goals that both applied linguists (academics) and business professionals can explore by focusing on shared language and knowledge transformation in business practice. The whole interview data were analysed using the Modified Grounded Theory Approach (M-GTA) (Kinoshita, 2003), in which nine basic concepts were obtained in the Open Coding Stage. These were then categorised into four larger groups in the Selective Coding Stage: (1) the current barriers for transdisciplinarity, (2) integration of theory and practice, (3) sensitivity to common ground, and (4) contribution to Japanese society. After presenting these concepts, the construction of shared language as a theme of collaboration is highlighted in the Discussion section.

Diabetes and Oral Health: Summary of Current Scientific Evidence for Why Transdisciplinary Collaboration Is Needed

This Perspective provides a brief summary of the scientific evidence for the often two-way links between hyperglycemia, including manifest diabetes mellitus (DM), and oral health. It delivers in a nutshell examples of current scientific evidence for the following oral manifestations of hyperglycemia, along with any available evidence for effect in the opposite direction: periodontal diseases, caries/periapical periodontitis, tooth loss, peri-implantitis, dry mouth (xerostomia/hyposalivation), dysbiosis in the oral microbiome, candidiasis, taste disturbances, burning mouth syndrome, cancer, traumatic ulcers, infections of oral wounds, delayed wound healing, melanin pigmentation, fissured tongue, benign migratory glossitis (geographic tongue), temporomandibular disorders, and osteonecrosis of the jaw. Evidence for effects on quality of life will also be reported. This condensed overview delivers the rationale and sets the stage for the urgent need for delivery of oral and general health care in patient-centered transdisciplinary collaboration for early detection and management of both hyperglycemia and oral diseases to improve quality of life.

Researchers working with city administrations: Reflecting on transdisciplinary collaboration under conditions of shared goals but different constraints

Academics and city administrations generally agree that environmental management decisions should be science based, which suggests the value of collaboration between city officials and researchers. Such collaboration, termed “ecology with cities”, is an example of translational ecology that should integrate ecological and social sciences to inform decision-makers. However, there has been insufficient reflection on whether ecology with cities achieves the expected development of practical social-ecological knowledge for the common good. We addressed this gap by asking city officials and researchers, in Switzerland and with whom we have collaborated in the past, about their motivations for, and experiences with, transdisciplinary collaboration. The respondents reported largely overlapping goals and an awareness of the mutual benefits of accessing the skills and resources of the other group. However, the reflections also unearthed latent tensions related to insufficient mutual awareness of institutional boundaries and limitations. We conclude that researchers should try to include collaboration partners who have experience in translational ecology practice and should establish learning processes early in a collaboration. Building good working relationships with city administrations and establishing such processes would facilitate the creation of realistic mutual expectations in which institutional limitations are considered so that common goals of maintaining or improving the ecological quality of cities can be amicably reached.

Four investment areas for ethical AI: Transdisciplinary opportunities to close the publication-to-practice gap

Big Data and Artificial Intelligence have a symbiotic relationship. Artificial Intelligence needs to be trained on Big Data to be accurate, and Big Data's value is largely realized through its use by Artificial Intelligence. As a result, Big Data and Artificial Intelligence practices are tightly intertwined in real life settings, as are their impacts on society. Unethical uses of Artificial Intelligence are therefore a Big Data problem, at least to some degree. Efforts to address this problem have been dominated by the documentation of Ethical Artificial Intelligence principles and the creation of technical tools that address specific aspects of those principles. However, there is mounting evidence that Ethical Artificial Intelligence principles and technical tools have little impact on the Artificial Intelligence that is created in practice, sometimes in very public ways. The goal of this commentary is to highlight four interconnected areas society can invest in to close this Ethical Artificial Intelligence publication-to-practice gap, maximizing the positive impact Artificial Intelligence and Big Data have on society. For Ethical Artificial Intelligence to become a reality, I argue that these areas need to be addressed holistically in a way that acknowledges their interdependencies. Progress will require iteration, compromise, and transdisciplinary collaboration, but the result of our investments will be the realization of Artificial Intelligence's and Big Data's tremendous potential for social good, in practice rather than in just our hopes and aspirations.

Researchers Working With City Administrations: Reflecting on Transdisciplinary Collaboration Under Conditions of Shared Goals but Different Constraints

Academics and city administrations generally agree that environmental management decisions should be science based, which suggests the value of collaboration between city officials and researchers. Such collaboration, termed “ecology with cities”, is an example of translational ecology that should integrate ecological and social sciences to inform decision-makers. However, there has been insufficient reflection on whether ecology with cities achieves the expected development of practical social-ecological knowledge for the common good. We addressed this gap by asking city officials and researchers, in Switzerland and with whom we have collaborated in the past, about their motivations for, and experiences with, transdisciplinary collaboration. The respondents reported largely overlapping goals and an awareness of the mutual benefits of accessing the skills and resources of the other group. However, the reflections also unearthed latent tensions related to insufficient mutual awareness of institutional boundaries and limitations. We conclude that researchers should try to include collaboration partners who have experience in translational ecology practice and should establish learning processes early in a collaboration. Building good working relationships with city administrations and establishing such processes would facilitate the creation of realistic mutual expectations in which institutional limitations are considered so that common goals of maintaining or improving the ecological quality of cities can be amicably reached.