The focus of design studies has shifted from a product-centric perspective to a perspective in which value is defined by and co-created with the consumer, rather than embedded in the output. The reasoning hence focuses on the interplay between innovation and design processes. Moving from an earlier conceptualization of design-driven innovation, the attempt is to define the space of interaction between the different components of the innovation process. In this way a 3D innovation space can be sketched where different practices and experiences can be mapped. Through this exercise the key hypothesis of this work is empowered: no innovation is possible without design.@en

The current work investigates how creativity manifests when designers use data work in the early phase of design. Designers are increasingly interested in utilizing the massive amounts of data surrounding our everyday lives. However, data work is still challenging to incorporate into the design process. In this paper, we present a case study with three novice design teams who were tasked to integrate data work into their design process. During the study, we observed how creativity took place in framing a design problem. We present and discuss their actions from a creativity process perspective, highlighting how they used and rationalized data-inspired inquiries creatively in the early phase of design. The current results inform the development of a design framework to structure data work methodologically and coherently into design processes. We coin this design framework Exploratory Data Inquiry.

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Digital data has a considerable role in our everyday lives: we use publicly available data to find out about weather, traffic or pollution, we track ourselves and we release our private data to monitor our health and to get advices from our favourite apps, we relate on services that digest big amount of data to predict what will happen next. In this era of “living services”, what kind of data literacy is needed to equip a service designer? Is there a need to rethink of service design tools so that data will be explicitly taken into account in the design process? Is there a need to update service design curricula to embrace these challenges? All of these questions will be discussed through a specific case: a workshop on data exploration held at the Service Systems Design Master at Aalborg University in Copenhagen to investigate the role of data literacy in a service design university program.@en

In the recent years, new forms of organization have emerged, that have a disruptive power over the existing social and economic system. This phenomenon is challenging the traditional design approach, based on the idea that designers could design services for citizens and public administrations. In the new processes designers and service provider are simply mediating the process of co-creation and supporting the ecosystem for the value creation process. This paper will propose a logical framework for the design action, according to a multi-level structure that includes the value-creation level, in which design is a prerogative of the stakeholders participating in the value-creation action; the level of infrastructuring in which designers use their expert knowledge to support the interaction in the value-creation phase; and the level of governance, in which designers must figure
out the structure of the ecosystem in which the value-creation process can be adequately organized and possibly scaled-up.@en

An increasing computing capability is raising the opportunities to use a large amount of publicly available data for creating new applications and a new generation of public services.

But while it is easy to find some early examples of services concerning control systems (e.g. traffic, meteo, telecommunication) and commercial applications (e.g. profiling systems), few examples are instead available about the use of data as a new resource for empowering citizens, i.e. supporting citizens’ decisions about everyday life, political choices, organization of their movements, information about social, cultural and environmental opportunities around them and government choices. Developing spaces for enabling citizens to harness the opportunities coming from the use of this new resource, offers thus a substantial promise of social innovation.

This means that open data is virtually a new resource that could become a new commons with the engagement of interested and active communities. The condition for open data becoming a new commons is that citizens become aware of the potential of this resource, that they use it for creating new services and that new practices and infrastructures are defined, that would support the use of such resource.
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