Project description:Modellers of complex biological or social systems are often faced with an invidious choice: to use simple models with few mechanisms that can be fully analysed, or to construct complicated models that include all the features which are thought relevant. The former ensures rigour, the latter relevance. We discuss a method that combines these two approaches, beginning with a complex model and then modelling the complicated model with simpler models. The resulting "chain" of models ensures some rigour and relevance. We illustrate this process on a complex model of voting intentions, constructing a reduced model which agrees well with the predictions of the full model. Experiments with variations of the simpler model yield additional insights which are hidden by the complexity of the full model. This approach facilitated collaboration between social scientists and physicists-the complex model was specified based on the social science literature, and the simpler model constrained to agree (in core aspects) with the complicated model.
Project description:This article introduces Interdisciplinary Research Maps as a novel visualization technique to assist with interdisciplinary research analytics and to map common (and distinct) topics across publications from different disciplines. We detail the method for this technique which is based on entity linking and illustrate its application to a sample of articles sourced from the top business/management and environmental sciences journals. Both fields have separately been criticized for a lack of interdisciplinary research to co-create insights for tackling pressing environmental issues such as climate change. Our mapping approach provides a starting point for exploring similarities and differences in research topics across these fields. The mapping technique introduced here has broader applicability to facilitate the creation and exchange of knowledge across fields. We discuss avenues for visualization techniques to bridge the different fields by focusing on identifying common concepts to provide a basis for future analysis.
Project description:The completion of the Human Genome Project has unleashed a wealth of human genomics information, but it remains unclear how best to implement this information for the benefit of patients. The standard approach of biomedical research, with researchers pursuing advances in knowledge in the laboratory and, separately, clinicians translating research findings into the clinic as much as decades later, will need to give way to new interdisciplinary models for research in genomic medicine. These models should include scientists and clinicians actively working as teams to study patients and populations recruited in clinical settings and communities to make genomics discoveries-through the combined efforts of data scientists, clinical researchers, epidemiologists, and basic scientists-and to rapidly apply these discoveries in the clinic for the prediction, prevention, diagnosis, prognosis, and treatment of cardiovascular diseases and stroke. The highly publicized US Precision Medicine Initiative, also known as All of Us, is a large-scale program funded by the US National Institutes of Health that will energize these efforts, but several ongoing studies such as the UK Biobank Initiative; the Million Veteran Program; the Electronic Medical Records and Genomics Network; the Kaiser Permanente Research Program on Genes, Environment and Health; and the DiscovEHR collaboration are already providing exemplary models of this kind of interdisciplinary work. In this statement, we outline the opportunities and challenges in broadly implementing new interdisciplinary models in academic medical centers and community settings and bringing the promise of genomics to fruition.
Project description:Although interdisciplinarity has become a favored model of scholarly inquiry, the assumption that interdisciplinary work is intuitive and can be performed without training is short-sighted. This article describes the implementation of an interdisciplinary research training program within a school of nursing. We describe the key elements of the program and the challenges we encountered. From 2007-2010, eleven trainees from 6 disciplines have been accepted into the program and 7 have completed the program; the trainees have published 12 manuscripts and presented at 10 regional or national meetings. The major challenge has been to sustain and "push the envelope" toward interdisciplinary thinking among the trainees and their mentors, and to assure that they do not revert to their "safer" disciplinary silos. This training program, funded by National Institute of Nursing Research (NINR), has become well-established within the school of nursing and across the entire University campus, and is recognized as a high quality research training program across disciplines, as exemplified by excellent applicants from a number of disciplines.
Project description:An interdisciplinary research perspective is developed concerning the question of how we understand others' emotions and how reliable our judgment about others' emotion can be. After an outline of the theoretical background of emotions, we briefly discuss the importance of prior experiences and context information for the recognition of emotions. To clarify this role, we describe a study design, utilizing emotional expressions and context information while controlling for prior experiences and the actual emotional situation to systematically approach these questions.
Project description:Personal branding has become an important concept in management literature in recent years. Yet, with more than 100 scholarly papers published on the concept to date, it has developed into a fragmented area of research with a diversity of definitions and conceptual boundaries. This paper posits that this heterogeneity of extant research impedes theoretical and empirical advancement. To strengthen the foundation for future work, we review the extant literature and offer an integrative model of personal branding. Through our systematic literature review we identify the key attributes of the construct, establish its clarity by comparing it with similar concepts in its nomological network, and suggest the definitions of personal branding and personal brand based on the reviewed literature. Further, we propose a theoretical model of personal branding summarizing the findings from the reviewed papers. The proposed model outlines the trends conducive to personal branding, as well as its drivers, processes, and outcomes. Finally, we discuss ethical implications of personal branding for both scholarly work and practice. In conclusion, we outline a further research agenda for studying personal branding as a critical career and organizational behavior activity in contemporary working environment.
Project description:Nasal asymmetry is widely acknowledged to be one of the most difficult deformities to manage. Most reports in the literature pertain to corrective methods in relation to isolated deformity of the dorsum in the posttraumatic patient. There is a paucity of literature relating to management of nasal radix asymmetry, and still less in the context of severe panfacial asymmetry.
Project description:In a patient-centered care era, rehabilitation can benefit from researcher-clinician collaboration to effectively and efficiently produce the interdisciplinary science that is needed to improve patient-centered outcomes. The authors propose the use of the Forging Alliances in Interdisciplinary Rehabilitation Research (FAIRR) logic model to provide guidance to rehabilitation scientists and clinicians who are committed to growing their involvement in interdisciplinary rehabilitation research. We describe the importance and key characteristics of the FAIRR model for conducting interdisciplinary rehabilitation research.
Project description:BackgroundDigital innovations in medicine are disruptive technologies that can change the way diagnostic procedures and treatments are delivered. Such innovations are typically designed in teams with different disciplinary backgrounds. This paper concentrates on 2 interdisciplinary research teams with 20 members from the medicine and engineering sciences working jointly on digital health solutions.ObjectiveThe aim of this paper was to identify factors on the individual, team, and organizational levels that influence the implementation of interdisciplinary research projects elaborating on digital applications for medicine and, based on the results, to draw conclusions for the proactive design of the interdisciplinary research process to make these projects successful.MethodsTo achieve this aim, 2 interdisciplinary research teams were observed, and a small case study (response rate: 15/20, 75%) was conducted using a web-based questionnaire containing both closed and open self-report questions. The Spearman rank correlation coefficient was calculated to analyze the quantitative data. The answers to the open-ended questions were subjected to qualitative content analysis.ResultsWith regard to the interdisciplinary research projects investigated, the influencing factors of the three levels presented (individual, team, and organization) have proven to be relevant for interdisciplinary research cooperation.ConclusionsWith regard to recommendations for the future design of interdisciplinary cooperation, management aspects are addressed, that is, the installation of a coordinator, systematic definition of goals, required resources, and necessary efforts on the part of the involved interdisciplinary research partners. As only small groups were investigated, further research in this field is necessary to derive more general recommendations for interdisciplinary research teams.Trial registrationGerman Clinical Trials Register, DRKS00023909, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00023909 ; German Clinical Trials Register, DRKS00025077, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00025077.