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There are an increasing number of information sources and services around us enabling new ways of interacting with our everyday environment. Examples include intelligent devices, sensors embedded in the environment and the emerging Internet-of-Things. Simultaneously users are becoming increasingly involved as information providers and consumers by means of Web 2.0 and social media. While these areas have gained a lot of attention recently and while the research on Digital Ecosystems has also dealt with these phenomena separately there seems to be need for research on the rich and complex ecosystem combining the sensor-based information sources with Web 2.0 and mobile services. In this paper, we propose a Digital Ecosystem architecture, which combines the social media and Internet-of-Things. The architecture is the fruit from the international collaboration between two long-term university Living Lab projects in Finland and in China. It aims at fostering student innovations in their everyday campus lives. We discuss the experiences learnt in the context of this international collaboration and the implications to Digital Ecosystem research.

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In recent years, we have seen the rise of Web 2.0, in which users become co-creators and software turns into services. During the last two years, we have also witnessed the phenomenal success of Apple’s App Store for which people produce the applications and can also create  business of them. While the technologies and business services related to these phenomena have been studied separately, we suggest that the underlying digital ecosystem that ties them together has not been made explicit. In this paper, we provide a conceptual model of a digital ecosystem for understanding how companies can co-create business with people. To construct such a model, we use multiple case study approach and explore two cases: an ecosystem around smart phone application market App Store and an ecosystem around bioinformatics service registry BioCatalogue. Our results suggest that the required technical solutions and business services are now available. However, to make business flourish, the orchestration of the overall ecosystem is also essential and needs to be taken care of.

Characterizing user behavior by social network analysis in social media has been an active research domain for a long time. However, much previous research has focused on the large-scale global social media such as Facebook, Wikipedia and Twitter. Comparatively, little research has been done for the local social media. In this paper, We study the user behavior by social network analysis in a campus-based social media platform for exchanging goods and services. We also study the correlation between social networks and users' exchanging behaviors. Finally, we discuss the implications of our findings and future work.