Funding agencies are increasingly seeking team-based approaches to tackling complex research questions, but there is a need to mobilize translational teams and create shared visions and strategic action plans long before specific funding opportunities are considered or even released. This is particularly evident for teams who want to pursue large-scale grants, where cross-disciplinary synergy is often required. In response, we created Research Jams, which are engaging yet structured brainstorming sessions that bring together groups for the first time to collectively generate novel research ideas, critically map the future of initiatives, prioritize opportunities and next steps, and build community. Research Jams leveraged various aspects of design thinking, including divergence and convergence, visual thinking, and amplifying diversity. We piloted seven Research Jams for a collective 129 researchers, staff, and partners across 50 University of Michigan units and external organizations. Feedback was overwhelmingly positive, with the vast majority of survey respondents indicating that the sessions were helpful for surfacing shared ideas or visions and that opportunities emerged they would like to pursue. Research Jams were ideal for cross-disciplinary groups who wanted to collaboratively ideate and strategize around complex problems in translational research. Importantly, these models have the potential for implementation with groups in any disciplinary domain who want to spur collaborations to address challenging problems. Our ultimate goal is for Research Jams to be the first intervention within a comprehensive support pathway that extends from early brainstorming all the way to grant submission.

The European InSOTEC project aims to identify remaining socio-technical challenges for the implementation of geological disposal of radioactive waste in European countries. Geological disposal has been recognized as the reference solution in radioactive waste management by the European Commission, which has set up the IGD-TP as a platform to foster exchanges between authorities on research and development (R&D) on this topic. This paper turns to the national level to analyse national R&D programmes on radioactive waste management (RWM) and particularly, geological disposal (GD) in order to assess to what extent there are national platforms that broaden interaction beyond an expert community. For this, we focus on identifying those practices and structures that reflect a degree of inter- and transdisciplinarity in the design and implementation of national R&D programmes. Our argument, embedded in the Science and Technology Studies (STS) literature, is that the way GD is framed by the research and policy community has important implications for the processes of developing and governing a technology. From our empirical case studies, we will explore the extent to which social-science research is integrated and the way stakeholders may have an impact on the development of R&D programmes. Overall, including social science research as an integral part in R&D programmes on GD and fostering collaboration between different types of knowledge in the R&D agenda-setting phase may help in the consideration of GD as a socio-technical problem, where the social and the technical are inextricably linked.

Authors across disciplines propose functional modeling as part of systematic design approaches, in order to support and guide designers during conceptual design. The presented research aims at contributing to a better understanding of the diverse functional modeling approaches proposed across disciplines. The article presents a literature review of 41 modeling approaches from a variety of disciplines. The analysis focuses on what is addressed by functional modeling at which point in the proposed conceptual design process (i.e., in which sequence). The gained insights lead to the identification of specific needs and opportunities, which could support the development of an integrated functional modeling approach. The findings suggest that there is no such shared sequence for functional modeling across disciplines. However, a shared functional modeling perspective has been identified across all reviewed disciplines, which could serve as a common basis for the development of an integrated functional modeling approach.

Cross-disciplinary research is advocated as a way of improving understanding of the complexity of environmental problems; cross-disciplinary projects, centres and academic institutes have increased. However, there is confusion over the nature of cross-disciplinary research. Through review of papers defining themselves as cross-disciplinary that aim to address conservation problems, and by standardizing the definition of cross-disciplinary research, it is possible to evaluate the potential research impact on peers and practitioners. When papers were reclassified by authors, those reclassified as transdisciplinary were perceived to have a greater impact on practitioners, and those reclassified as non cross-disciplinary had the greatest impact on colleagues. Having clear definitions for types of cross-disciplinary research would help establish a firm foundation, not only for improving research quality, but also for evaluating research impact. While the number of cross-disciplinary studies is increasing, cross-disciplinary research falls short of integrating disciplinary methods in much depth and does not have much impact on participants outside of academia.