Within the design studio, and across multiple field sites, the authors compare involvement of research tools and materials during collaborative processes of designing. Their aim is to trace temporal dimensions (shifts/ movements) of where and when learning takes place along different sites of practice. They do so by combining participant observation, anthropology methodology and design anthropology research inquiry, engaging with practice based explorations to understand if methods and methodologies, understood as being central to anthropological inquiry, can be taught to interaction design engineering students studying in an engineering faculty and engineers working in an energy company. They ask: how do you generate anthropological capacities with interaction design engineering students engaged in engineering design processes and employees of an energy company setting out to reframe their relation with the private end user? What kind of opportunities can engaging with collaborative processes of designing offer for both designing and anthropological research inquiry simultaneously?

Objective The Maturity Matrix (MM) comprises a formative evaluation instrument for primary care practices to self-assess their degree of organisational development in a group setting, guided by an external facilitator. The practice teams discuss organisational development, score their own performance and set improvement goals for the following year. The objective of this project was to introduce a translated and culturally adapted version of the MM in Denmark, to test its feasibility, to promote and document organisational change in general practices and to analyse associations between the recorded change(s) and structural factors in practices and the factors associated with the MM process. Setting MM was used by general practices in three counties in Denmark, in two assessment sessions 1 year apart. First rounds of MM visits were carried out in 2006e2007 in 60 practice teams (320 participants (163 GPs, 157 staff)) and the second round in 2007e2008. A total of 48 practice teams (228 participants (117 GPs; 111 staff) participated in both sessions. Method The MM sessions were the primary intervention. Moreover, in about half of the practices, the facilitator reminded practice teams of their goals by sending them the written report of the initial session and contacted the practices regularly by telephone reminding them of the goals they had set. Those practice teams had passwordprotected access to their own and benchmark data. Results Where the minimum possible is 0 and maximum possible is 8, the mean overall MM score increased from 4.4 to 5.3 (difference¼0.9, 95%, CI 0.76 to 1.06) from first to second sessions, indicating that development had taken place as measured by this group-based selfevaluation method. There was some evidence that lowerscoring dimensions were prioritised and more limited evidence that the prioritisation and interventions between meetings were helpful to achieve changes. Conclusions This study provides evidence that MM worked well in general practices in Denmark. Practice teams appeared to be learning about the process, directing their efforts more efficiently after a year's experience of the project. This experience also informs the further improvement of the facilitation and follow-up components of the intervention.

THE PRIVATE ENERGY USER CHALLENGEGovernments and energy companies are currently developing alternative electricity smart grid solutions to address energy independencies, reliability and issues of sustainability (Massoud and Wollenberg 2005, Gellings 2009, Lin, Yang and Shyua 2013. These developments will lead to a disruption of the continuous evolution of energy use practices both in private households and in energy production companies (Farhangi 2010, Lin, Yang andShyua 2013). The Danish government has determined that by 2050 Denmark will be independent of fossil fuels and the way to achieve this goal is to base the energy system on electricity from mainly wind turbines. This means that a smart grid system in this context will not only optimize the distribution of energy between the energy company and the user, but also the smart grid must integrate the unstable character of electricity produced by wind turbines. Energy users will have to cooperate with the system and use electricity when it is available -when the wind blows. A future electricity smart grid is based on an intelligent bidirectional communication between a range of different energy producing units and energy demand units -including our Danish energy company and the private energy end users