Jos P. van Leeuwen

Many challenges that confront today’s society are complex and dynamic and require new perspectives to arrive at solutions that could not be found before. Finding such new perspectives is part of a process called reframing and one of its key stages is theme investigation. Understanding a problem thoroughly is crucial for creating effective solutions and theme investigation offers insight into human and social themes that underlie complex challenges. This article discusses how to investigate such themes, to deepen our understanding, to find a starting point for reframing and creating innovative solutions. This work explicitly experiments with variation (conceptual, personal, and methodological) as a guiding principle for investigating human themes in real life cases. A process, best practices, instruments and tools for theme investigation are presented and discussed.

Many of today’s challenges that confront society are complex and dynamic and require new perspectives, new ways of looking at problems and issues, in order to be able to come to solutions that could not be found before. This process is called reframing and we suggest that one of the key stages in this process is thematic research, the search for themes that underlie these complex challenges. These themes generally turn out to be human themes, related to socio-emotional aspects of life. In this paper we report our experiences and lessons learned from a series of cases in which we experimented with various approaches to do this thematic research.

This paper describes a case study of using Cultural Probes in an early stage of a 'research-through-design' project aiming at innovations in social media. We discuss our rationale and process of designing the cultural probes, along with the method developed for interpreting the responses. Finally, we present some of the insights gathered and how these lead to ideation.

Ontologies have been successfully applied as a semantic enabler of communication between both users and applications in fragmented, heterogeneous multinational business environments. In this paper we discuss the underlying principles, their current implementation status, and most importantly, their applicability to problems in the building information modeling domain. We introduce the development of an ontology for the building and construction sector based on the industry foundation classes. We discuss several approaches of lifting modeling information that is based on the express family of languages for data modeling onto a logically rigid and semantically enhanced ontological level encoded in the W3C Ontology Web Language. We exemplify the added value of such formal notation of building models by providing several examples where generic query and reasoning algorithms can be applied to problems that otherwise have to be manually hard-wired into applications for processing building information. Furthermore, we show how the underlying resource description framework and the set of technologies evolving around it can be tailored to the need of distributed collaborative work in the building and construction industry.