Various experimental approaches of transformative research in real-world settings have emerged. Yet, similarities, differences, and specific contributions remain unclear. A characteristic-based comparison reveals complementarities and provides orientation.Real-world laboratories (RwLs, German Reallabore) belong to a family of increasingly popular experimental and transdisciplinary research approaches at the science-society interface. As these approaches in general, and RwLs in particular, often lack clear definitions of key characteristics and their operationalization, we make two contributions in this article. First, we identify five core characteristics of RwLs: contribution to transformation, experimental methods, transdisciplinary research mode, scalability and transferability of results, as well as scientific and societal learning and reflexivity. Second, we compare RwLs to similar research approaches according to the five characteristics. In this way, we provide an orientation on experimental and transdisciplinary research for societal transformations, and reveal the contributions of this type of research in supporting societal change. Our findings enable learning across the different approaches and highlight their complementarities, with a particular focus on RwLs.

The transformative research approach of Real-World Laboratories (RWL) has recently attracted attention in German sustainability science. Some definitions and understandings have been published, but guidelines and procedural quality criteria for establishing and running a RWL are still missing. To address this gap, this article has two aims. First, it aims to derive key components of RWLs from the current discourse on RWLs and similar, but more elaborated research approaches. Second, it aims to transfer these key components into a comprehensive research practice. This practice is illustrated by the RWL process in the project “Well-being Transformation Wuppertal” (WTW). Methodologically, the article builds on a review of RWL-related approaches for collaborative, intervention-oriented research. This includes transition management, transdisciplinary process models and action research. Based on this review, eight key components for RWLs are proposed. They position RWLs as a normatively framed approach that aims to contribute to local action for sustainable development and the empowerment of change agents. The approach uses transdisciplinary methods of knowledge integration and engages in cyclical real-world interventions within certain spatial and content-related boundaries. The components are transferred into a flowchart, detailing process steps, aims, responsibilities and overall principles for putting RWLs into practice. Thus, a hitherto missing tool for designing and running RWLs is provided. Then, the RWL in the district of Mirke, Wuppertal, is used as an empirical example to illustrate the application of the flowchart and related key components. Consecutive discussions centre on the different roles of researchers and practitioners in the research process, as well as the relevance of an underlying theory of change for effective interventions. Finally, critical reflection, application and amendment of the proposed flowchart are encouraged.

In order to grasp the transformative potential of real-world laboratories, it is essential to understand them as a large-scale research infrastructure. Unlike single transdisciplinary projects and processes, real-world labs are not only about temporary interventions or knowledge integration. They are also about establishing long-lasting spaces for transformation and reflexive learning.

In the face of persistent sustainability problems challenging economic development, ecological integrity as ell as social justice, transformational changes are crucial. Proposed changes shall include, for instance, large-scale transitions of practices, infrastructures as well as values and priorities. In Germany, real-world laboratories are proposed for research in and with society, aiming to understand and contribute to transformations.