Although several people still ignoring the concept of digital ecosystem, they use it in one way or another in their professional and/or personal digital life. We recall that a digital ecosystem is usually defined as a distributed, adaptive, open socio-technical system, with several properties inspired by natural ecosystems. In the world of the Internet of Things (IoT), the rapid growth and exponential use of digital components leads to the emergence of digital ecosystems composed of multiple and independent entities such as individuals, organizations, services, software and applications sharing one or several missions and focusing on the interactions and inter-relationships among them. With the help of the computational intelligence, these digital ecosystems can exhibit collective knowledge and new self-* properties (such as self-management, self-healing and self-configuration) environments, thanks to the re-combination and evolution of its "digital components", in which resources provided by each entity are properly conserved, managed and used.
The usage of digital ecosystems has the potential to enable the understanding of how entities request resources and ultimately interact to create benefits and added-values, impacting business practices and knowledge. In order to support full-fledged digital ecosystems, technologies tobe adopted need to rely on novel techniques, models and methodologies related to big data management, web technologies, networking, security and privacy, human-computer interactions, artificial intelligence, and self-organizing systems.
These aspects and challenges make research in the digital ecosystems field a pressing need, and ACM MEDES series aim at contributing in that direction since 2009. In MEDES’14, we address several of these issues from different perspectives and mainly focus on the management of computational and collective intelligence found in digital ecosystems. We wish to all participants a successful conference, and we are confident that this edition will contribute to advance research in digital ecosystems and create synergies with related fields.