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This paper deals with the implementation of an online platform for Responsible Research and Innovation (RRI), which provides anticipatory and deliberative tools to address societal expectations with regard to resrarch and innovation and mobilises information technology tools for inclusive, responsive and sustainable research. In particular, we have developed a Forum, which is a Web-based application and service for stakeholders (members of the RRI community) to deliberate and discuss about RRI. Different interaction modalities are supported by the Forum, such as: 'Caucus Process', Suggestion Board, Partnership Initiative, etc. A special attention is devoted to the Citizen Jury and Tacit Knowledge modules that represent innovative features of our Forum. The outcomes show that our online Forum represents an effective solution to address RRI issues by adopting e-Government and knowledge management approaches. This work was carried out as part of EU FP7 Responsibility project

In recent years, there have been a variety of attempts in research and industry to solve various problems by using the non-contact detection and interpretation possibilities of computer vision, as one image offers the floor to analyse different causes and sources in parallel. It is logical to apply an integrated approach via image and video not only to venture into new and innovative fields, but also to optimize and improve existing solutions with other sensors and to solve contemporary problems. In this paper, we will deal with the integrated approach for optimizing and improving fire detection. The detection path is going to be solely based on the colour features of household fires in addition to a colour independent feature of fire that owes to enhance the detection result. The end goal is to achieve real time fire detection and obtain a low false positive rate.