Supporting organisational learning: an overview of the ENRICH approach

Traditional training separates learning from the work context in which the newly acquired knowledge is to be applied. This requires the worker themselves to apply imparted theoretical knowledge to knowledge in practice, a process that is grossly inefficient. The ENRICH approach builds on organisational learning theory to intertwine working and learning. The ENRICH methodology incorporates theories of learning at the individual, group and organisational level. Individual level learning is supported through the provision of semantically related resources to support problem reframing and to challenge assumptions. Group learning is supported through the evolution of domain concepts through work documents and representations linked to formal models of group knowledge, and the development of group practices and perspectives through enhanced sharing and collaboration. Organisational learning is supported through exposure to customs and conventions of other groups through shared best practices and knowledge models. The approach is being investigated in a range of industrial settings and applications

Making sense of assets: Community asset mapping and related approaches for cultivating capacities

This working paper critically reviews some main aspects from asset based approaches highlights key strengths and weaknesses for future research/development. Drawing on a large body of reports and relevant literature we draw on different theoretical traditions and critiques, as well as practices and processes embedded within a broad range of approaches including, widely acknowledged frameworks such Asset Based Community Development (ABCD), Appreciative Inquiry (AI), Sustainable Livelihood Approaches (SLA) and Community Capitals Framework (CCF). Although these are presented as distinct approaches, there is a sense of evolution through them and many of them overlap (in terms of both theories and methodologies). We also include emerging frameworks, including geographical, socio-spatial, visual and creative approaches, stemming from a number of projects within AHRC’s Connected Communities programme and additional collaborations

Domino: exploring mobile collaborative software adaptation

Social Proximity Applications (SPAs) are a promising new area for ubicomp software that exploits the everyday changes in the proximity of mobile users. While a number of applications facilitate simple file sharing between co–present users, this paper explores opportunities for recommending and sharing software between users. We describe an architecture that allows the recommendation of new system components from systems with similar histories of use. Software components and usage histories are exchanged between mobile users who are in proximity with each other. We apply this architecture in a mobile strategy game in which players adapt and upgrade their game using components from other players, progressing through the game through sharing tools and history. More broadly, we discuss the general application of this technique as well as the security and privacy challenges to such an approach

Infrastructuring for cultural commons

In this doctoral dissertation, I inquire into the ways in which Participatory Design (PD) and digital design endeavors can contribute to wider public access to, and use of, digital cultural heritage. I advocate for an approach according to which digital cultural heritage is arranged and understood as cultural commons, and for more collaborative modes of social care for and governance of the commons. In addition to the empirically grounded findings and proposals contained in six individual research articles, I develop a theoretical framework that combines scholarship on Information Infrastructures, Commons and PD. Against this framework I interrogate how the information infrastructures and conditions that surround digital cultural heritage can be active in constructing and contributing to cultural commons. While doing this, I draw attention to the gap that exists between on the one hand official institutional digital cultural heritage collections, systems and practices, and on the other hand the digital platforms and practices through which everyday people create, curate and share digital cultural works. In order to understand how to critically and productively bridge this gap, I present insights gained from conducting three design research cases that engage both cultural heritage institutions and everyday media users. Building upon this empirical work, and latching on to scholarship on the notion of infrastructuring, I propose four infrastructuring strategies for cultural commons: probing and building upon the installed base, stimulating and simulating design and use through gateways, producing and pooling shared resources, and, lastly, fostering and shaping a commons culture that supports commoning. In exploring these strategies, I map the territory between commons and infrastructuring, and connect these notions to the PD tradition. I do so to sketch the design principles for a design orientation, commons design. I assert that these principles can be useful for advancing PD, and can inform future initiatives, aid in identifying infrastructural challenges, and in finding and confirming an orientation to participatory design activities. Drawing on my practical design work, I discuss requirements for professional designers operating on commons frameworks and with collective action. By doing this, my dissertation not only breaks new theoretical ground through advancing theoretical considerations relevant to contemporary design research, especially the field of PD, but also contributes practical implications useful for professional digital media design practice, especially for designers working in the fields of digital culture and cultural heritage

Dealing with abstraction: Case study generalisation as a method for eliciting design patterns

Developing a pattern language is a non-trivial problem. A critical requirement is a method to support pattern writers with abstraction, so as they can produce generalised patterns. In this paper, we address this issue by developing a structured process of generalisation. It is important that this process is initiated through engaging participants in identifying initial patterns, i.e. directly dealing with the 'cold-start' problem. We have found that short case study descriptions provide a productive 'way into' the process for participants. We reflect on a 1-year interdisciplinary pan-European research project involving the development of almost 30 cases and over 150 patterns. We provide example cases, detailing the process by which their associated patterns emerged. This was based on a foundation for generalisation from cases with common attributes. We discuss the merits of this approach and its implications for pattern development

The co-production of historical knowledge: implications for the history of identities

This essay argues that understanding people’s lives, emotions and intellectual reasoning is crucial to exploring national identity and that ‘the co-production of historical knowledge’ provides an approach or methodology that allows for a deeper comprehension of people’s self-identities by encouraging a diverse range of people to participate in the research process. We argue that many academic historians have maintained an intellectual detachment between university history and public and community history, to the detriment of furthering historical knowledge. We argue for a blurring of the boundaries between university and communities in exploring modern British history, and especially the history of national identities. It includes extracts of writing from community partners and a brief photographic essay of projects related to exploring identities

Initiating organizational memories using ontology network analysis

One of the important problems in organizational memories is their initial set-up. It is difficult to choose the right information to include in an organizational memory, and the right information is also a prerequisite for maximizing the uptake and relevance of the memory content. To tackle this problem, most developers adopt heavy-weight solutions and rely on a faithful continuous interaction with users to create and improve its content. In this paper, we explore the use of an automatic, light-weight solution, drawn from the underlying ingredients of an organizational memory: ontologies. We have developed an ontology-based network analysis method which we applied to tackle the problem of identifying communities of practice in an organization. We use ontology-based network analysis as a means to provide content automatically for the initial set up of an organizational memory